Science Explorer Back to mapMap
Discussion
Researcher · Icahn School of Medicine at Mount Sinai · United States

Girish N. Nadkarni

Girish N. Nadkarni publishes mostly in Nephrology, Cardiology and Cardiovascular Medicine and Artificial Intelligence, on topics such as Machine Learning in Healthcare, Chronic Kidney Disease and Diabetes and Artificial Intelligence in Healthcare and Education.

ORCID 0000-0001-6319-4314 OpenAlex
World rank
#13,337
of 7,710,434 ranked researchers
Rank in United States
#4,659
of 1,627,098
Works
953
Citations
51k
Citations per work
53.3
h-index
101
i10-index 414Top 0.3% in Nephrology
Girish N. Nadkarni

What does Girish N. Nadkarni research?

Girish N. Nadkarni's work is mostly in Medicine (25%), Biochemistry, Genetics and Molecular Biology (12%), Computer Science (7%).

Everything else: 528 works · 55.4% of their workHealth Sciences: 236 works · 24.8% of their workMedicine: 236 works · 24.8% of their workNephrology: 114 works · 12.0% of their workCardiology and Cardiovascular Medicine: 80 works · 8.4% of their workInfectious Diseases: 42 works · 4.4% of their workLife Sciences: 117 works · 12.3% of their workBiochemistry, Genetics and Molecular Biology: 117 works · 12.3% of their workGenetics: 66 works · 6.9% of their workMolecular Biology: 51 works · 5.4% of their workPhysical Sciences: 71 works · 7.5% of their workComputer Science: 71 works · 7.5% of their workArtificial Intelligence: 71 works · 7.5% of their workTHEIR WORKGirish N.Nadkarni953works
Life Sciences12%Physical Sciences7%Health Sciences25%

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 else52855.4%
    1. Medicine23624.8%
    1. Biochemistry, Genetics and Molecular Biology11712.3%
    1. Computer Science717.5%
  1. 1Nephrology12% of their works
  2. 2Cardiology and Cardiovascular Medicine8% of their works
  3. 3Artificial Intelligence8% of their works
  4. 4Genetics7% of their works
  5. 5Molecular Biology5% of their works
  6. 6Infectious Diseases4% of their works

Research topics

Which keywords describe Girish N. Nadkarni's research?

The keywords of their largest research topics: Chronic Kidney Disease, Healthcare, Precision Medicine, Cardiovascular Disease, Hemodialysis, Deep Learning, Electronic Health Records and Diabetic Nephropathy.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 21 words, with their numbers
  1. Chronic Kidney Disease2383 topics
  2. Healthcare2272 topics
  3. Precision Medicine2272 topics
  4. Cardiovascular Disease1592 topics
  5. Hemodialysis1272 topics
  6. Deep Learning1181 topic
  7. Electronic Health Records1181 topic
  8. Diabetic Nephropathy1111 topic
  9. Glomerular Filtration Rate1111 topic
  10. Artificial Intelligence1091 topic
  11. Machine Learning1091 topic
  12. Genetic Variation871 topic
  13. Genome-Wide Association871 topic
  14. Acute Kidney Injury791 topic
  15. Biomarkers791 topic
  16. Clinical Characteristics671 topic
  17. SARS-CoV-2671 topic
  18. Dialysis481 topic
  19. Inflammation481 topic
  20. Glomerular Diseases451 topic
  21. Nephrotic Syndrome451 topic

Where does Girish N. Nadkarni work?

Girish N. Nadkarni's main affiliation in the publication record is Icahn School of Medicine at Mount Sinai, United States.

How many publications and citations does Girish N. Nadkarni have?

OpenAlex counts 953 works and 50,839 citations for Girish N. Nadkarni, an h-index of 101, ranking #13,337 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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

Ask a question or share a note about Girish N. Nadkarni. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.