Robert T. Gampe

4.6k citations
48 papers · 2.8k · h-index 21

Impact in

    • Peroxisome Proliferator-Activated Receptors
    • Retinoids in leukemia and cellular processes
    • Protein Structure and Dynamics
    • Advanced NMR Techniques and Applications

Papers in

    • Molecular spectroscopy and chirality 13
    • Advanced NMR Techniques and Applications 10
    • Analytical Chemistry and Chromatography 4

Robert T. Gampe

45 papers receiving 2.8k citations

Peers

Robert T. Gampe
Comparison fields: 5 of 116
  • Molecular Biology 2.0k
  • Spectroscopy 364
  • Biochemistry 142
  • Genetics 502
  • Endocrinology, Diabetes and Metabolism 275
Replace John S. Sack with:
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Robert T. Gampe relative to John S. Sack United States John S. Sack's profile →
Citations per field
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John S. Sack · 1×
Citations per year

Countries citing papers authored by Robert T. Gampe

Since Specialization
Citations

This map shows the geographic impact of Robert T. Gampe'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 Robert T. Gampe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert T. Gampe more than expected).

Fields of papers citing papers by Robert T. Gampe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert T. Gampe. 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 Robert T. Gampe. The network helps show where Robert T. Gampe may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000490
2 2001451
3 2004228
4 2013176
5 2007150
6 1991148
7 1986130
8 2006120
9 2000112
10 199092
11 201081
12 201068
13 199562
14 198653
15 199147
16 201046
17 200544
18 198743
19 198935
20 198324

About Robert T. Gampe

Robert T. Gampe is a scholar working on Molecular Biology, Spectroscopy, Genetics, Endocrinology, Diabetes and Metabolism and Biophysics, having authored 48 papers that have together received 2.8k indexed citations. Recurring topics across this work include Molecular spectroscopy and chirality (13 papers), Advanced NMR Techniques and Applications (10 papers), Estrogen and related hormone effects (9 papers), Electron Spin Resonance Studies (7 papers), Hormonal and reproductive studies (6 papers), NMR spectroscopy and applications (6 papers), Prostate Cancer Treatment and Research (5 papers) and Analytical Chemistry and Chromatography (4 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Spectroscopy (364 citations), Biochemistry (142 citations), Genetics (502 citations) and Endocrinology, Diabetes and Metabolism (275 citations). Robert T. Gampe has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Stephen W. Fesik, Millard H. Lambert, Valerie G. Montana, H. Eric Xu, Timothy M. Willson, Steven A. Kliewer, Edward T. Olejniczak, Michael V. Milburn, Thomas B. Stanley and Randy K. Bledsoe. Their work appears in journals such as Biochemistry, Journal of the American Chemical Society, Bioorganic & Medicinal Chemistry Letters, Molecular Cell and Journal of Medicinal Chemistry.

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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