Mounika Srilakshmi
Mounika Srilakshmi publishes mostly in Cardiology and Cardiovascular Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging, on topics such as vaccines and immunoinformatics approaches, Computational Drug Discovery Methods and Machine Learning in Materials Science.
- World rank
- #5,013,729 of 7,710,434 ranked researchers
- Rank in India
- #137,614 of 280,097
- Works
- 19
- Citations
- 46
- Citations per work
- 2.4
What does Mounika Srilakshmi research?
Mounika Srilakshmi's work is mostly in Medicine (35%), Biochemistry, Genetics and Molecular Biology (15%), Computer Science (9%).
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
- Health Sciences734.8%
- Medicine734.8%
- Everything else632.6%
- Physical Sciences317.4%
- Computer Science28.7%
- Materials Science28.7%
- Life Sciences315.2%
- 1Cardiology and Cardiovascular Medicine17% of their works
- 2Molecular Biology15% of their works
- 3Radiology, Nuclear Medicine and Imaging11% of their works
- 4Computational Theory and Mathematics9% of their works
- 5Materials Chemistry9% of their works
- 6Nephrology6% of their works
Research topics
- vaccines and immunoinformatics approaches
- Computational Drug Discovery Methods
- Machine Learning in Materials Science
- Cardiovascular Function and Risk Factors
- Genetics, Bioinformatics, and Biomedical Research
- COVID-19 diagnosis using AI
- Cardiovascular Disease and Adiposity
- Chronic Kidney Disease and Diabetes
Which keywords describe Mounika Srilakshmi's research?
The keywords of their largest research topics: Machine Learning, Obesity, Cardiovascular Disease, Chamber Quantification, Echocardiography, Epitope Prediction, High-Throughput and Materials Informatics.
- Glomerular Filtration Rate
- Chronic Kidney Disease
- Education
- Bioinformatics
- Peptide-MHC Binding
- Materials Informatics
- Epitope Prediction
- Chamber Quantification
- Obesity
- Machine Learning
- Cardiovascular Disease
- Echocardiography
- High-Throughput
- Molecular Docking
- Virtual Screening
- Deep Learning
- Medical Imaging
- Epicardial Fat
- Perivascular Adipose Tissue
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
- Machine Learning82 topics
- Obesity62 topics
- Cardiovascular Disease42 topics
- Chamber Quantification41 topic
- Echocardiography41 topic
- Epitope Prediction41 topic
- High-Throughput41 topic
- Materials Informatics41 topic
- Molecular Docking41 topic
- Peptide-MHC Binding41 topic
- Virtual Screening41 topic
- Bioinformatics31 topic
- Deep Learning31 topic
- Education31 topic
- Medical Imaging31 topic
- Chronic Kidney Disease21 topic
- Epicardial Fat21 topic
- Glomerular Filtration Rate21 topic
- Perivascular Adipose Tissue21 topic
Where does Mounika Srilakshmi work?
Mounika Srilakshmi's main affiliation in the publication record is SASTRA University, India.
How many publications and citations does Mounika Srilakshmi have?
OpenAlex counts 19 works and 46 citations for Mounika Srilakshmi, an h-index of 3, ranking #5,013,729 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.
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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