Jonathan J. Li

1.9k citations
56 papers · 1.5k indexed · h-index 24

Impact in

  • Genetics top 5%
    • Estrogen and related hormone effects
    • Carcinogens and Genotoxicity Assessment

Papers in

    • Estrogen and related hormone effects 25
    • Pharmacogenetics and Drug Metabolism 6

Jonathan J. Li

56 papers receiving 1.4k citations

Peers

Jonathan J. Li
Comparison fields: 5 of 88
  • Genetics 654
  • Cancer Research 240
  • Pharmacology 133
  • Cell Biology 219
  • Molecular Biology 807
Replace Sara Antonia Li with:
Sara Antonia Li United States
Wayne P. Bocchinfuso United States
Herbert W. Dickerman United States
Togo Ikuta Japan
R C Moon United States
Sylvie Bardon France
Chengtao Her United States
Kerrie B. Bouker United States
Partha P. Banerjee United States
W J Checovich United States
Jonathan J. Li relative to Sara Antonia Li United States Sara Antonia Li's profile →
Citations per field
00.5×1.5×2.5×
Sara Antonia Li · 1×
Citations per year

Countries citing papers authored by Jonathan J. Li

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan J. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jonathan J. Li, 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 J. Li Line = papers co-authored together Jonathan J. Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201013
2 20082
3 2006105
4 200531
5 20059
6 200311
7 20038
8 200211
9 20013
10 200124
11 19961
12 199447
13 199414
14 19937
15 19922
16 199140
17 1990100
18 198930
19 198126
20 198010

About Jonathan J. Li

Jonathan J. Li is a scholar working on Genetics, Pharmacology, Endocrinology, Diabetes and Metabolism, Cell Biology and Cancer Research, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (25 papers), Hormonal and reproductive studies (7 papers), Genomics, phytochemicals, and oxidative stress (6 papers), Microtubule and mitosis dynamics (6 papers), Pharmacogenetics and Drug Metabolism (6 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Glutathione Transferases and Polymorphisms (4 papers) and Renal and related cancers (4 papers). The work is most often cited by research in Genetics (654 citations), Cancer Research (240 citations), Pharmacology (133 citations), Cell Biology (219 citations) and Molecular Biology (807 citations). Jonathan J. Li has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Sara Antonia Li, John Klicka, S. John Weroha, Claude A. Villee, Wilma L. Lingle, Luke K. T. Lam, Jeffrey L. Salisbury, Jonathan A. Parsons, Ossama Tawfik and Snigdha Banerjee. Their work appears in journals such as Endocrinology, Carcinogenesis, Advances in experimental medicine and biology, The Journal of Steroid Biochemistry and Molecular Biology and Molecular Carcinogenesis.

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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