Fern S. Tepperman

404 citations
12 papers · 360 indexed · h-index 9
Topics
Neuropeptides and Animal Physiology (6 papers)Receptor Mechanisms and Signaling (5 papers)Pain Mechanisms and Treatments (2 papers)
Partner nations
CanadaSweden

In The Last Decade

Fern S. Tepperman

12 papers receiving 333 citations

Peers

Fern S. Tepperman
Comparison fields: 5 of 57
  • Cellular and Molecular Neuroscience 252
  • Molecular Biology 172
  • Endocrine and Autonomic Systems 90
  • Social Psychology 76
  • Physiology 55
Replace L.D. Mitchell with:
L.D. Mitchell United States
L.G. Micossi Italy
PR McHugh United States
J Rivier United States
Gayle Nicholson United States
A. Mandenoff France
T. K. Banerji United States
Warren L. Veale Canada
Martin W. Adler United States
J MORLEY United States
Fern S. Tepperman relative to L.D. Mitchell United States L.D. Mitchell's profile →
Citations per field
00.5×1.5×
L.D. Mitchell · 1×
Citations per year

Countries citing papers authored by Fern S. Tepperman

Since Specialization
Citations

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

Fields of papers citing papers by Fern S. Tepperman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fern S. Tepperman. 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 Fern S. Tepperman. The network helps show where Fern S. Tepperman may publish in the future.

Co-authorship network of co-authors of Fern S. Tepperman

This figure shows the co-authorship network connecting the top 25 collaborators of Fern S. Tepperman. A scholar is included among the top collaborators of Fern S. Tepperman 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 Fern S. Tepperman. Fern S. Tepperman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 9
2 7
3 28
4 78
5 61
6 38
7 29
8 53
9 8
10 2
11 22
12 25

About Fern S. Tepperman

Fern S. Tepperman is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Gastroenterology, having authored 12 papers that have together received 360 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Receptor Mechanisms and Signaling (5 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (252 citations), Endocrine and Autonomic Systems (90 citations) and Behavioral Neuroscience (30 citations). Fern S. Tepperman has collaborated with scholars based in Canada and Sweden. Frequent co-authors include Maurice Hirst, C. W. Gowdey, Paul Smith, Brett R. Schofield, David Gall, J. R. Hamilton, Daniel G. Butler, Martin Kavaliers, Timothy J. McDonald and John Dupré. Their work appears in journals such as Endocrinology, Biochimica et Biophysica Acta (BBA) - Biomembranes and Life 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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