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Researcher · University of Edinburgh · United Kingdom

Piyush Borole

Piyush Borole publishes mostly in Molecular Biology, Artificial Intelligence and Epidemiology, on topics such as vaccines and immunoinformatics approaches, Bioinformatics and Genomic Networks and Computational Drug Discovery Methods.

ORCID 0000-0003-3327-5847 OpenAlex
World rank
#1,752,330
of 7,710,434 ranked researchers
Rank in United Kingdom
#131,487
of 367,258
Works
19
Citations
285
Citations per work
15.0
h-index
7
i10-index 7Top 91% in Molecular Biology
Piyush Borole

What does Piyush Borole research?

Piyush Borole's work is mostly in Biochemistry, Genetics and Molecular Biology (32%), Computer Science (17%), Medicine (11%).

Life Sciences: 7 works · 37.8% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 32.1% of their workMolecular Biology: 6 works · 32.1% of their workImmunology and Microbiology: 1 works · 5.7% of their workImmunology: 1 works · 5.7% of their workEverything else: 6 works · 33.8% of their workPhysical Sciences: 3 works · 17.0% of their workComputer Science: 3 works · 17.0% of their workArtificial Intelligence: 2 works · 11.3% of their workComputational Theory and Mathematics: 1 works · 5.7% of their workHealth Sciences: 2 works · 11.4% of their workMedicine: 2 works · 11.4% of their workEpidemiology: 1 works · 5.7% of their workPublic Health, Environmental and Occupational Health: 1 works · 5.7% of their workTHEIR WORKPiyush Borole19works
Life Sciences38%Physical Sciences17%Health Sciences11%

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. Biochemistry, Genetics and Molecular Biology632.1%
    2. Immunology and Microbiology15.7%
  2. Everything else633.8%
    1. Computer Science317.0%
    1. Medicine211.4%
  1. 1Molecular Biology32% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Epidemiology6% of their works
  4. 4Immunology6% of their works
  5. 5Public Health, Environmental and Occupational Health6% of their works
  6. 6Computational Theory and Mathematics6% of their works

Research topics

Which keywords describe Piyush Borole's research?

The keywords of their largest research topics: Epidemiology, Epitope Prediction, Peptide-MHC Binding, Vector Control, Arboviral Diseases, Gene Set Enrichment Analysis, Molecular Docking and Protein-Protein Interaction Networks.

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 18 words, with their numbers
  1. Epidemiology52 topics
  2. Epitope Prediction51 topic
  3. Peptide-MHC Binding51 topic
  4. Vector Control52 topics
  5. Arboviral Diseases31 topic
  6. Gene Set Enrichment Analysis31 topic
  7. Molecular Docking31 topic
  8. Protein-Protein Interaction Networks31 topic
  9. Virtual Screening31 topic
  10. Zika Virus31 topic
  11. DNA Damage21 topic
  12. Interpretable Models21 topic
  13. Machine Learning Interpretability21 topic
  14. Nipah Virus21 topic
  15. Paramyxovirus21 topic
  16. Repair21 topic
  17. Symbiont21 topic
  18. Wolbachia21 topic

Where does Piyush Borole work?

Piyush Borole's main affiliation in the publication record is University of Edinburgh, United Kingdom.

How many publications and citations does Piyush Borole have?

OpenAlex counts 19 works and 285 citations for Piyush Borole, an h-index of 7, ranking #1,752,330 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.

Discussion

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