David L. Bain

43 papers receiving 2.4k citations

Hit Papers

Nuclear receptor coactivators and corepressors. 1996 · 763 citations
7631996202620062016250500750

Peers

David L. Bain
Comparison fields: 5 of 105
  • Genetics 1.5k
  • Toxicology 82
  • Molecular Biology 1.5k
  • Endocrinology, Diabetes and Metabolism 317
  • Reproductive Medicine 136
Replace Yolande Berthois with:
Yolande Berthois France
Jean‐Marie Wurtz France
Ann M. Nardulli United States
Gérard Redeuilh France
Viroj Boonyaratanakornkit United States
Eileen M. McInerney United States
M. T. Bocquel France
Elizabeth A. Allegretto United States
Phuong Nguyen United States
M. Berry France
David L. Bain relative to Yolande Berthois France Yolande Berthois's profile →
Citations per field
00.5×1.5×2.4×
Yolande Berthois · 1×
Citations per year

Countries citing papers authored by David L. Bain

Since Specialization
Citations

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

Fields of papers citing papers by David L. Bain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20213
3 20152
4 201310
5 20136
6 201231
7 20127
8 201250
9 20111
10 20094
11 20099
12 200827
13 200354
14 200114
15 200083
16 200045
17 1997368
18
Nuclear receptor coactivators and corepressors.
Hit paper breakdown →
1996763
19 199416
20 199216

About David L. Bain

David L. Bain is a scholar working on Genetics, Toxicology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 46 papers that have together received 2.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (27 papers), DNA and Nucleic Acid Chemistry (13 papers), Receptor Mechanisms and Signaling (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Steroid Chemistry and Biochemistry (6 papers), Reproductive System and Pregnancy (5 papers), Retinoids in leukemia and cellular processes (4 papers) and Inflammatory mediators and NSAID effects (4 papers). The work is most often cited by research in Genetics (1.5k citations), Toxicology (82 citations), Molecular Biology (1.5k citations), Endocrinology, Diabetes and Metabolism (317 citations) and Reproductive Medicine (136 citations). David L. Bain has collaborated with scholars based in United States and Poland. Frequent co-authors include Kathryn B. Horwitz, Glenn S. Takimoto, Jennifer K. Richer, Lin Tung, Twila A. Jackson, Michael T. Miura, Keith D. Connaghan‐Jones, Aaron F. Heneghan, James L. McManaman and Mary Ann Franden. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Journal of Molecular Biology, Methods in enzymology on CD-ROM/Methods in enzymology and Journal of Pharmaceutical Sciences.

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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