Jonathan Kahn

1.5k citations
61 papers · 1k · h-index 16

Impact in

  • Genetics top 5%
    • Race, Genetics, and Society
    • Forensic and Genetic Research
  • Pharmacology top 10%
    • Pharmacogenetics and Drug Metabolism

Papers in

    • Race, Genetics, and Society 38
    • Forensic and Genetic Research 4
  • Law 8
    • Legal Rights and Human Rights 3

Jonathan Kahn

56 papers receiving 869 citations

Peers

Jonathan Kahn
Comparison fields: 5 of 88
  • Genetics 579
  • Pharmacology 45
  • Public Health, Environmental and Occupational Health 145
  • Public Administration 28
  • Sociology and Political Science 125
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Kahn

Since Specialization
Citations

This map shows the geographic impact of Jonathan Kahn'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 Jonathan Kahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Kahn more than expected).

Fields of papers citing papers by Jonathan Kahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Kahn. 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 Jonathan Kahn. The network helps show where Jonathan Kahn may publish in the future.

Co-authors

The 20 scholars most cited alongside Jonathan Kahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Kahn Line = papers co-authored together Jonathan Kahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007206
2 2009109
3 200572
4
How a drug becomes "ethnic": law, commerce, and the production of racial categories in medicine.
200454
5 200847
6 201247
7 200344
8 201343
9 200639
10 200535
11 199833
12 200623
13 201423
14
From disparity to difference: how race-specific medicines may undermine policies to address inequalities in health care.
200520
15 200719
16 201718
17 200816
18
Race on the Brain: What Implicit Bias Gets Wrong About the Struggle for Racial Justice
201715
19 20069
20 20079

About Jonathan Kahn

Jonathan Kahn is a scholar working on Genetics, Law, Pharmacology, Sociology and Political Science and Economics and Econometrics, having authored 61 papers that have together received 1k indexed citations. Recurring topics across this work include Race, Genetics, and Society (38 papers), Race, History, and American Society (6 papers), Racial and Ethnic Identity Research (5 papers), Forensic and Genetic Research (4 papers), Legal Rights and Human Rights (3 papers), Historical and Political Studies (3 papers), Ethics in Clinical Research (3 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Genetics (579 citations), Pharmacology (45 citations), Public Health, Environmental and Occupational Health (145 citations), Public Administration (28 citations) and Sociology and Political Science (125 citations). Jonathan Kahn has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Pamela L. Sankar, Jay S. Kaufman, Ballard C. Campbell, Deborah A. Bolnick, Alondra Nelson, Susan M. Reverby, Richard Cooper, Duana Fullwiley, Jenny Reardon and Ann J. Morning. Their work appears in journals such as Science, The Hastings Center Report, The American Journal of Bioethics, Health Affairs and Nature Biotechnology.

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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