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Researcher · Leitat Technological Center · Spain

Laura Padilla

Laura Padilla publishes mostly in Molecular Biology, Pathology and Forensic Medicine and Electrical and Electronic Engineering, on topics such as S100 Proteins and Annexins, Lymphoma Diagnosis and Treatment and Acute Lymphoblastic Leukemia research.

ORCID 0000-0002-8236-8161 OpenAlex
World rank
#2,893,769
of 7,710,434 ranked researchers
Rank in Spain
#64,208
of 204,306
Works
26
Citations
749
Citations per work
28.8
h-index
12
i10-index 15Top 65% in Molecular Biology
Laura Padilla

What does Laura Padilla research?

Laura Padilla's work is mostly in Biochemistry, Genetics and Molecular Biology (22%), Medicine (19%), Engineering (8%).

Everything else: 11 works · 43.9% of their workLife Sciences: 7 works · 28.7% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 21.9% of their workMolecular Biology: 4 works · 15.1% of their workCancer Research: 2 works · 6.8% of their workImmunology and Microbiology: 2 works · 6.8% of their workImmunology: 2 works · 6.8% of their workHealth Sciences: 5 works · 19.2% of their workMedicine: 5 works · 19.2% of their workPathology and Forensic Medicine: 3 works · 11.0% of their workPublic Health, Environmental and Occupational Health: 2 works · 8.2% of their workPhysical Sciences: 2 works · 8.2% of their workEngineering: 2 works · 8.2% of their workElectrical and Electronic Engineering: 2 works · 8.2% of their workTHEIR WORKLaura Padilla26works
Life Sciences29%Physical Sciences8%Health Sciences19%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
  1. Everything else1143.9%
    1. Biochemistry, Genetics and Molecular Biology621.9%
    2. Immunology and Microbiology26.8%
    1. Medicine519.2%
    1. Engineering28.2%
  1. 1Molecular Biology15% of their works
  2. 2Pathology and Forensic Medicine11% of their works
  3. 3Electrical and Electronic Engineering8% of their works
  4. 4Public Health, Environmental and Occupational Health8% of their works
  5. 5Immunology7% of their works
  6. 6Cancer Research7% of their works

Research topics

Which keywords describe Laura Padilla's research?

The keywords of their largest research topics: Metastasis, Inflammation, Innate Immunity, Calcium Modulated Proteins, Classification, Lymphoma, S100 Proteins and Acute Lymphoblastic Leukemia.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 19 words, with their numbers
  1. Metastasis122 topics
  2. Inflammation113 topics
  3. Innate Immunity92 topics
  4. Calcium Modulated Proteins71 topic
  5. Classification71 topic
  6. Lymphoma71 topic
  7. S100 Proteins71 topic
  8. Acute Lymphoblastic Leukemia61 topic
  9. Childhood Cancer61 topic
  10. Matrix Metalloproteinases51 topic
  11. Tissue Inhibitors of Metalloproteinases51 topic
  12. Optical Modulators41 topic
  13. Silicon Photonics41 topic
  14. Acoustic Wave Biosensors21 topic
  15. Advanced Glycation End Products21 topic
  16. HMGB121 topic
  17. Pattern Recognition21 topic
  18. Pentraxins21 topic
  19. Thin Film Resonators21 topic

Where does Laura Padilla work?

Laura Padilla's main affiliation in the publication record is Leitat Technological Center, Spain.

How many publications and citations does Laura Padilla have?

OpenAlex counts 26 works and 749 citations for Laura Padilla, an h-index of 12, ranking #2,893,769 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Other researchers named Laura Padilla

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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