Jonathan Knight

28 papers receiving 196 citations

Peers

Jonathan Knight
Comparison fields: 5 of 106
  • Modeling and Simulation 14
  • Developmental Biology 5
  • Infectious Diseases 36
  • Reproductive Medicine 14
  • Public Health, Environmental and Occupational Health 46
Replace Nidhi Subbaraman with:
Nidhi Subbaraman India
Benjamin Capps Singapore
Milton Leitenberg United States
Brian Lambert United States
Katherine A. Mason United States
Andrew McLellan United States
Mirko Dražen Grmek France
Brett Maricque United States
Natalie Ram United States
Tereza Hendl Germany
Jonathan Knight relative to Nidhi Subbaraman India Nidhi Subbaraman's profile →
Citations per field
00.5×1.5×2.3×
Nidhi Subbaraman · 1×
Citations per year

Countries citing papers authored by Jonathan Knight

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Knight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Jonathan Knight, 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 Knight Line = papers co-authored together Jonathan Knight links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200360
2 200626
3 200218
4 200416
5 200514
6 200412
7 200211
8
Regulation of research on human subjects: Academic freedom and the institutional review board
19819
9 19708
10 19838
11 20047
12 20015
13 19874
14 20034
15 19754
16 20013
17 19993
18 20033
19 20043
20 20032

About Jonathan Knight

Jonathan Knight is a scholar working on Reproductive Medicine, Physiology, Public Health, Environmental and Occupational Health, Political Science and International Relations and Molecular Biology, having authored 49 papers that have together received 251 indexed citations. Recurring topics across this work include Science, Research, and Medicine (17 papers), Biomedical Ethics and Regulation (13 papers), Biotechnology and Related Fields (9 papers), Academic Freedom and Politics (4 papers), Health and Medical Research Impacts (3 papers), Historical and Contemporary Political Dynamics (3 papers), Pluripotent Stem Cells Research (3 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Modeling and Simulation (14 citations), Developmental Biology (5 citations), Infectious Diseases (36 citations), Reproductive Medicine (14 citations) and Public Health, Environmental and Occupational Health (46 citations). Jonathan Knight has collaborated with scholars based in United States, Latvia and Ireland. Frequent co-authors include Alison Abbott, David Cyranoski, Helen Pearson, Judith Jarvis Thomson, Catherine Z. Elgin, David A. Hyman, Natalie DeWitt, Philip E. Rubin, Brian R. Kreiser and Carol J. Auster. Their work appears in journals such as Nature, International Organization, Middle Eastern Studies, Science and Political Science Quarterly.

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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