Robert T. Gampe

4.6k citations
49 papers · 2.9k indexed · h-index 22

Impact in

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

Papers in

    • Electron Spin Resonance Studies 7
    • Molecular spectroscopy and chirality 13
    • Advanced NMR Techniques and Applications 10

Robert T. Gampe

46 papers receiving 2.8k citations

Peers

Robert T. Gampe
Comparison fields: 5 of 116
  • Molecular Biology 2.0k
  • Spectroscopy 364
  • Biochemistry 145
  • Genetics 536
  • Endocrinology, Diabetes and Metabolism 298
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Robert T. Gampe relative to John S. Sack United States John S. Sack's profile →
Citations per field
00.5×1.5×2.1×
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-authorship network

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
#Work
1 20200
2 201912
3 201068
4 2006120
5 200544
6 200512
7 2004228
8 2000489
9 199813
10 199563
11 19959
12
The effects of the protein phosphatase inhibitors microcystin and calyculin A differ in hepatocytes and hepatic endothelial cells
19941
13 19944
14 1991148
15 199147
16 199011
17 198918
18 198824
19 198743
20 198514

About Robert T. Gampe

Robert T. Gampe is a scholar working on Biophysics, Spectroscopy, Filtration and Separation, Nuclear and High Energy Physics and Physical and Theoretical Chemistry, having authored 49 papers that have together received 2.9k 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 (10 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 Spectroscopy and Quantum Chemical Studies (4 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Spectroscopy (364 citations), Biochemistry (145 citations), Genetics (536 citations) and Endocrinology, Diabetes and Metabolism (298 citations). Robert T. Gampe has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Stephen W. Fesik, Valerie G. Montana, Millard H. Lambert, 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 Journal of the American Chemical Society, Biochemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry and Molecular Cell.

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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