Isaac S. Kohane

66.5k citations
470 papers · 34.8k indexed · 19 hit papers · h-index 87
Topics
Biomedical Text Mining and Ontologies (52 papers)Genomics and Rare Diseases (51 papers)Gene expression and cancer classification (48 papers)
Partner nations
United StatesIsraelChina

In The Last Decade

Isaac S. Kohane

459 papers receiving 33.8k citations

Hit Papers

Machine Learning in M...19992026200820172019201820032004201850010001.5k2.0k

Peers

Isaac S. Kohane
Comparison fields: 5 of 222
  • Molecular Biology 12.6k
  • Artificial Intelligence 5.0k
  • Genetics 4.6k
  • Epidemiology 3.4k
  • Public Health, Environmental and Occupational Health 3.1k
Replace Eric J. Topol with:
Eric J. Topol United States
Ewout W. Steyerberg Netherlands
Tien Yin Wong Singapore
Atul J. Butte United States
Yongjun Wang China
Michael Pencina United States
Joshua C. Denny United States
Russ B. Altman United States
Harlan M. Krumholz United States
Yuan Luo United States
Isaac S. Kohane relative to Eric J. Topol United States Eric J. Topol's profile →
Citations per field
00.5×1.5×
Eric J. Topol · 1×
Citations per year

Countries citing papers authored by Isaac S. Kohane

Since Specialization
Citations

This map shows the geographic impact of Isaac S. Kohane's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Isaac S. Kohane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isaac S. Kohane more than expected).

Fields of papers citing papers by Isaac S. Kohane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isaac S. Kohane. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Isaac S. Kohane. The network helps show where Isaac S. Kohane may publish in the future.

Co-authorship network of co-authors of Isaac S. Kohane

This figure shows the co-authorship network connecting the top 25 collaborators of Isaac S. Kohane. A scholar is included among the top collaborators of Isaac S. Kohane based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Isaac S. Kohane. Isaac S. Kohane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 24
4 41
5 40
6 82
7 20
8 27
9 2
10 4
11 53
12 14
13 44
14 27
15 21
16 20
17 168
18 407
19 94
20 33

About Isaac S. Kohane

Isaac S. Kohane is a scholar working on Health Information Management, Medical Terminology and Health Informatics, having authored 470 papers that have together received 34.8k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (52 papers), Genomics and Rare Diseases (51 papers) and Gene expression and cancer classification (48 papers). The work is most often cited by research in Health Informatics (2.5k citations), Health Information Management (2.9k citations) and Molecular Biology (12.6k citations). Isaac S. Kohane has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Andrew L. Beam, Atul J. Butte, Kun‐Hsing Yu, Jay B. Dean, Alvin Rajkomar, Kenneth D. Mandl, Susanne Churchill, Shawn N. Murphy, Griffin M. Weber and Vivian S. Gainer. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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