Bonne M. Thompson

3.9k citations
35 papers · 2.0k indexed · h-index 20
    • Cancer, Lipids, and Metabolism 8
  • Immunology top 10%
    • Atherosclerosis and Cardiovascular Diseases 3
  • Surgery top 5%
    • Cholesterol and Lipid Metabolism 20
    • Peroxisome Proliferator-Activated Receptors 3
    • Sphingolipid Metabolism and Signaling 3
    • Drug Transport and Resistance Mechanisms 5
    • Estrogen and related hormone effects 4
    • Analytical Chemistry and Chromatography 2

Bonne M. Thompson

35 papers receiving 2.0k citations

Peers

Bonne M. Thompson
Comparison fields: 5 of 111
  • Cancer Research 366
  • Biochemistry 131
  • Immunology 382
  • Surgery 778
  • Molecular Biology 1.1k
Replace Qiurong Ding with:
Qiurong Ding China
Shunlin Ren United States
Jeff L. Ellsworth United States
Laurent O. Martinez France
Sunshin Kim South Korea
Thomas Engel Germany
Katrin Düvel United States
Peter S. Gargalovic United States
David A. Rudnick United States
Nabil Djouder Spain
Bonne M. Thompson relative to Qiurong Ding China Qiurong Ding's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bonne M. Thompson

Since Specialization
Citations

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

Fields of papers citing papers by Bonne M. Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bonne M. Thompson. 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 Bonne M. Thompson. The network helps show where Bonne M. Thompson may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 202311
4 202266
5 20227
6 20226
7 20219
8 202116
9 202185
10 202055
11 202021
12 201944
13 201920
14 2019105
15 201925
16 201886
17 20158
18 2010160
19 2007116
20 2006190

About Bonne M. Thompson

Bonne M. Thompson is a scholar working on Cancer Research, Surgery and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (20 papers), Cancer, Lipids, and Metabolism (8 papers), Drug Transport and Resistance Mechanisms (5 papers), Estrogen and related hormone effects (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Cancer Research (366 citations), Biochemistry (131 citations) and Immunology (382 citations). Bonne M. Thompson has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Jeffrey G. McDonald, David W. Russell, David R. Bauman, Andrew BitMansour, Guosheng Liang, Philip W. Shaul, Chieko Mineo, Xiaochun Li, Rosa Sirianni and Luc Girard. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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