C. Mark Eppler

1.5k citations
24 papers · 1.3k · h-index 15

Impact in

Papers in

C. Mark Eppler

24 papers receiving 1.2k citations

Peers

C. Mark Eppler
Comparison fields: 5 of 82
  • Cellular and Molecular Neuroscience 834
  • Molecular Biology 945
  • Reproductive Medicine 95
  • Physiology 258
  • Endocrine and Autonomic Systems 46
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M Vagne France
Hariharan Sankaran United States
Fu‐Zon Chung United States
Nino Mzhavia United States
Masao Tsuda Japan
Jean-Marie Botto France
Enrico Genazzani Italy
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Citations per field
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Citations per year

Countries citing papers authored by C. Mark Eppler

Since Specialization
Citations

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

Fields of papers citing papers by C. Mark Eppler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993355
2 1994349
3 1997148
4 199358
5 199340
6 199839
7 199338
8 198036
9 198633
10 199230
11 198226
12 200226
13 200925
14 198723
15 199420
16 199512
17 199210
18 199610
19 20117
20 19807

About C. Mark Eppler

C. Mark Eppler is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Neuroendocrine Tumor Research Advances (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Neuropeptides and Animal Physiology (4 papers), Glycosylation and Glycoproteins Research (3 papers), Biochemical and Molecular Research (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (834 citations), Molecular Biology (945 citations), Reproductive Medicine (95 citations), Physiology (258 citations) and Endocrine and Autonomic Systems (46 citations). C. Mark Eppler has collaborated with scholars based in United States and Chile. Frequent co-authors include Yasuo Imai, George R. Uhl, C.E. Spivak, Paul Gregor, Bradley A. Ozenberger, Antonio Maria Persico, George R. Uhl, Jia Bei Wang, Agnes Schönbrunn and Jacqueline E. Friedman. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Molecular Pharmacology, American Journal of Veterinary Research and Journal of Natural Products.

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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