David C. Thompson

5.5k citations
90 papers · 4.2k indexed · 2 hit papers · h-index 31
Topics
Alcohol Consumption and Health Effects (17 papers)Neuropeptides and Animal Physiology (8 papers)Metabolomics and Mass Spectrometry Studies (7 papers)
Partner nations
United StatesJapanChina

In The Last Decade

David C. Thompson

90 papers receiving 4.2k citations

Hit Papers

Aldehyde dehydrogenases in cellular responses to oxidativ...201220262016202120122012100200300400

Peers

David C. Thompson
Comparison fields: 5 of 171
  • Molecular Biology 1.7k
  • Oncology 879
  • Cancer Research 706
  • Pathology and Forensic Medicine 432
  • Physiology 400
Replace Dai Nakae with:
Dai Nakae Japan
Dominique Lagadic‐Gossmann France
Satoshi Kokura Japan
Simone Reuter United States
Pedro Buc Calderón Belgium
Masaki Kobayashi Japan
Peramaiyan Rajendran India
Yusuke Hiraku Japan
Wei Zhang China
Won–Ho Kim South Korea
David C. Thompson relative to Dai Nakae Japan Dai Nakae's profile →
Citations per field
00.5×3.0×
Dai Nakae · 1×
Citations per year

Countries citing papers authored by David C. Thompson

Since Specialization
Citations

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

Fields of papers citing papers by David C. Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David C. Thompson

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Thompson. A scholar is included among the top collaborators of David C. Thompson 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 David C. Thompson. David C. Thompson 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 13
2 12
3 9
4 29
5 105
6 61
7 22
8 26
9 36
10 21
11 21
12 62
13 28
14 46
15 221
16
Aldehyde dehydrogenases in cellular responses to oxidative/electrophilicstressbreakdown →
467
17 2
18 72
19 6
20 19

About David C. Thompson

David C. Thompson is a scholar working on Biochemistry, Pathology and Forensic Medicine and Endocrine and Autonomic Systems, having authored 90 papers that have together received 4.2k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (17 papers), Neuropeptides and Animal Physiology (8 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). The work is most often cited by research in Cancer Research (706 citations), Pharmacology (374 citations) and Biochemistry (252 citations). David C. Thompson has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Vasilis Vasiliou, Ying Chen, Chad Brocker, Vindhya Koppaka, Surendra Pratap Singh, Akiko Matsumoto, Jennie Walgren, Michael D. Mitchell, Brian C. Jackson and David J. Orlicky. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and The Science of The Total Environment.

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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