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Most cited papers in Scientific and Engineering Research Topics

Scientific and Engineering Research Topics

What are the most cited papers in Scientific and Engineering Research Topics?

The most cited paper in Scientific and Engineering Research Topics is "Definition and prevalence of peri‐implant diseases" (Nicola Ursula Zitzmann, Tord Berglundh, 2008), with 1,120 citations. Next come "Coronavirus Disease 19 (COVID-19): Implications for Clinical Dental Care" (915) and "Peri‐implant diseases: diagnosis and risk indicators" (898).

Showing 50 of 100 papers. Every paper with more than 166 citations is listed.

Most cited papers, sortable by citations and release date
#Paper
1 Definition and prevalence of peri‐implant diseases Nicola Ursula Zitzmann, Tord Berglundh · Journal Of Clinical Periodontology 26 Aug 2008 1,120
2 Coronavirus Disease 19 (COVID-19): Implications for Clinical Dental Care Amber Ather, Biraj Patel, Nikita B. Ruparel et al. · Journal of Endodontics Open access 6 Apr 2020 915
3 Peri‐implant diseases: diagnosis and risk indicators Lisa J. A. Heitz‐Mayfield · Journal Of Clinical Periodontology 26 Aug 2008 898
4 Salivary microRNA: Discovery, Characterization, and Clinical Utility for Oral Cancer Detection Noh Jin Park, Hui Zhou, David A. Elashoff et al. · Clinical Cancer Research Open access 26 Aug 2009 845
5 Implant biomaterials: A comprehensive review Monika Saini · World Journal of Clinical Cases Open access 2015 845
6 Aerosols and splatter in dentistry Stephen K. Harrel, John A. Molinari · The Journal of the American Dental Association Open access Apr 2004 794
7 A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification Alexander Statnikov, Lily Wang, Constantin Aliferis · BMC Bioinformatics Open access 22 Jul 2008 702
8 Bone Grafts and Substitutes in Dentistry: A Review of Current Trends and Developments Rusin Zhao, Ruijia Yang, Paul R. Cooper et al. · Molecules Open access 18 May 2021 639
9 MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques Soheila Saeedi, Sorayya Rezayi, Hamidreza Keshavarz et al. · BMC Medical Informatics and Decision Making Open access 23 Jan 2023 616
10 The antimicrobial sensitivity of Streptococcus mutans to nanoparticles of silver, zinc oxide, and gold Juan Francisco Hernández-Sierra, Facundo Ruíz, Diana Corina Cruz Pena et al. · Nanomedicine Nanotechnology Biology and Medicine 21 Jun 2008 561
11 COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios Rodolfo Miranda Pereira, Diego Siedel Bertolini, Lucas Teixeira et al. · Computer Methods and Programs in Biomedicine Open access 8 May 2020 534
12 Coronavirus Disease 2019 (COVID-19): Emerging and Future Challenges for Dental and Oral Medicine Raúl Bescós, Patricia Casas‐Agustench, Louise Belfield et al. · Journal of Dental Research Open access 28 May 2020 508
13 The antibacterial effects of silver, titanium dioxide and silica dioxide nanoparticles compared to the dental disinfectant chlorhexidine on Streptococcus mutans using a suite of bioassays Alexandros Besinis, Tracy de Peralta, Richard D. Handy · Nanotoxicology Open access 24 Oct 2012 502
14 Epidemiology and risk factors of peri‐implantitis: A systematic review H. Dreyer, Jasmin Grischke, Christina Tiede et al. · Journal of Periodontal Research Review 7 Jun 2018 487
15 A Review of Arsenic Poisoning and its Effects on Human Health Jayeeta Saha, Anil Kumar Dikshit, Manas Bandyopadhyay et al. · Critical Reviews in Environmental Science and Technology Jul 1999 463
16 COVID-19 Outbreak: An Overview on Dentistry Gianrico Spagnuolo, Danila De Vito, Sandro Rengo et al. · International Journal of Environmental Research and Public Health Open access 22 Mar 2020 462
17 Influence of implant length and diameter on stress distribution: A finite element analysis Lucie Himmlová, Taťjana Dostálová, Alois Kácovský et al. · Journal of Prosthetic Dentistry 2004 449
18 Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani et al. · International Journal of Medical Informatics Open access 23 Sep 2020 432
19 A Review on Green Synthesis of Nanoparticles and Their Diverse Biomedical and Environmental Applications Melvin S. Samuel, Madhumita Ravikumar, J. Ashwini John et al. · Catalysts Open access 20 Apr 2022 417
20 An overview of application of silver nanoparticles for biomaterials in dentistry Ranjeet Ajit Bapat, Tanay Vijaykumar Chaubal, Chaitanya Joshi et al. · Materials Science and Engineering C 25 May 2018 408
21 Extraction of impacted mandibular third molars: postoperative complications and their risk factors. F Blondeau, Nach G. Daniel · PubMed May 2007 386
22 Oral health status and treatment satisfaction with mandibular implant overdentures and conventional dentures: a randomized clinical trial in a senior population. Manal Awad, James P. Lund, Stanley H. Shapiro et al. · PubMed 6 Nov 2003 380
23 Academy of Dental Materials guidance—Resin composites: Part I—Mechanical properties Nicoleta Ilie, T.J. Hilton, Siegward D. Heintze et al. · Dental Materials Open access Jun 2017 372
24 Classification and prediction of diabetes disease using machine learning paradigm Md. Maniruzzaman, Md. Jahanur Rahman, Benojir Ahammed et al. · Health Information Science and Systems Open access 3 Jan 2020 371
25 Serum Levels of microRNAs in Patients with Heart Failure Yaron Goren, Michal Kushnir, Barak Zafrir et al. · European Journal of Heart Failure Open access 25 Nov 2011 360
26 Innovation of dental education during COVID-19 pandemic Tsai-Yu Chang, Guang Hong, Corrado Paganelli et al. · Journal of Dental Sciences Open access 19 Aug 2020 359
27 Detection of microleakage around dental restorations: a review. A H Alani, Chooi Gait Toh · PubMed 4 Mar 1998 358
28 Teledentistry during COVID-19 pandemic Suhani Ghai · Diabetes & Metabolic Syndrome Clinical Research & Reviews Open access 16 Jun 2020 357
29 Deep learning approach for diabetes prediction using PIMA Indian dataset Huma Umber Naz, Sachin Ahuja · Journal of Diabetes & Metabolic Disorders Open access 14 Apr 2020 351
30 Microbiological findings and host response in patients with peri‐implantitis Margareta Hultin, Anders K. Gustafsson, Hadar Hallström et al. · Clinical Oral Implants Research Aug 2002 351
31 Accuracy and practicality of intraoral scanner in dentistry: A literature review Hidemichi Kihara, Wataru Hatakeyama, Futoshi Komine et al. · Journal of Prosthodontic Research 30 Aug 2019 350
32 An eco-friendly synthesis of Enterococcus sp.–mediated gold nanoparticle induces cytotoxicity in human colorectal cancer cells Mathivadani Vairavel, Devaraj Ezhilarasan, Rajeshkumar Shanmugam · Environmental Science and Pollution Research 3 Jan 2020 339
33 A Survey of Forex and Stock Price Prediction Using Deep Learning Zexin Hu, Yiqi Zhao, Matloob Khushi · Applied System Innovation Open access 2 Feb 2021 335
34 Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools Ramin Ranjbarzadeh, Annalina Caputo, Erfan Babaee Tırkolaee et al. · Computers in Biology and Medicine 7 Dec 2022 334
35 Nanoparticles used in dentistry: A review Subhashree Priyadarsini, Sumit Mukherjee, Monalisa Mishra · Journal of Oral Biology and Craniofacial Research Open access 8 Dec 2017 321
36 Mesenchymal stem cells: innovative therapeutic tools for rheumatic diseases Farida Djouad, Carine Bouffi, Soufiane Ghannam et al. · Nature Reviews Rheumatology Review Jul 2009 319
37 An Overview of Reasons for the Placement and Replacement of Restorations Vassiliki Deligeorgi, Ivar A. Mjör, Nairn Wilson · Primary Dental Care 2001 313
38 A comparison of random forest regression and multiple linear regression for prediction in neuroscience Paul Ferris Smith, Siva Ganesh, Ping Liu · Journal of Neuroscience Methods 5 Sep 2013 310
39 Impact of Maintenance Therapy for the Prevention of Peri-implant Diseases Alberto Monje, Luisiana Aranda, Karla Tatiana Diaz et al. · Journal of Dental Research 23 Dec 2015 308
40 Analysis of the socket bone wall dimensions in the upper maxilla in relation to immediate implant placement Guy Huynh‐Ba, Bjarni Elvar Pjetursson, Mariano Sanz et al. · Clinical Oral Implants Research 15 Dec 2009 305
41 Factors affecting the fracture resistance of post-core reconstructed teeth: a review. AquavivaS Fernandes, G S Dessai · PubMed 7 Dec 2001 305
42 Students’ and lecturers’ perspective on the implementation of online learning in dental education due to SARS-CoV-2 (COVID-19): a cross-sectional study Maximiliane Amelie Schlenz, Alexander Schmidt, Bernd Wöstmann et al. · BMC Medical Education Open access 9 Oct 2020 299
43 Brain tumor detection using statistical and machine learning method Javaria Amin, Muhammad Imran Sharif, Mudassar Raza et al. · Computer Methods and Programs in Biomedicine 16 May 2019 291
44 Role of Platelet rich fibrin in wound healing: A critical review M Jayadev, VRahul Marshal, Balaram Naik et al. · Journal of Conservative Dentistry Open access 2013 287
45 Controlled release of metronidazole benzoate from poly ε-caprolactone electrospun nanofibers for periodontal diseases Maedeh Zamani, Mohammad Morshed, Jaleh Varshosaz et al. · European Journal of Pharmaceutics and Biopharmaceutics 9 Feb 2010 287
46 Killing Dental Pathogens Using Antibacterial Graphene Oxide Jianliang He, Xiaodan Zhu, Zhengnan Qi et al. · ACS Applied Materials & Interfaces 23 Feb 2015 286
47 Prevalence and Mechanisms of Peri-implant Diseases Giovanni E. Salvi, Raluca Cosgarea, Anton Sculean · Journal of Dental Research 28 Sep 2016 284
48 Assessing Knowledge, Attitudes and Practices of dental practitioners regarding the COVID-19 pandemic: A multinational study Shivalingesh KK, Swati Sharma, Sahil Singh Thakar et al. · Dental and Medical Problems Open access 31 Mar 2020 277
49 Effect of Surface Roughness on Stain Resistance of Dental Resin Composites Huan Lü, LESLIE B. ROEDER, Lei Lei et al. · Journal of Esthetic and Restorative Dentistry Mar 2005 273
50 A comparative study of different machine learning methods on microarray gene expression data Mehdi Pirooznia, Jack Y. Yang, Mary Qu Yang et al. · BMC Genomics Open access Mar 2008 270

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.