Tom S. Wehrman

1.9k citations
27 papers · 1.5k indexed · h-index 18
Topics
Receptor Mechanisms and Signaling (12 papers)Neuropeptides and Animal Physiology (8 papers)Cytokine Signaling Pathways and Interactions (5 papers)

In The Last Decade

Tom S. Wehrman

26 papers receiving 1.5k citations

Peers

Tom S. Wehrman
Comparison fields: 5 of 85
  • Molecular Biology 1.1k
  • Cellular and Molecular Neuroscience 543
  • Oncology 276
  • Immunology 222
  • Radiology, Nuclear Medicine and Imaging 185
Replace Ludovic Collin with:
Ludovic Collin Switzerland
Naheed Kanuga United Kingdom
Shuli Xia United States
Laura E. Kilpatrick United Kingdom
Andrew Freywald Canada
Mohamed Abdouh Canada
Anne‐Marie Bernard France
Kouki Kawakami Japan
Jiefei Tong Canada
Dianna A. Johnson United States
Tom S. Wehrman relative to Ludovic Collin Switzerland Ludovic Collin's profile →
Citations per field
00.5×1.5×2.4×
Ludovic Collin · 1×
Citations per year

Countries citing papers authored by Tom S. Wehrman

Since Specialization
Citations

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

Fields of papers citing papers by Tom S. Wehrman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom S. Wehrman

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 53
3 52
4 1
5 60
6 123
7 28
8 1
9 150
10 108
11 37
12 4
13 26
14 5
15 56
16 224
17 69
18 12
19 49
20 114

About Tom S. Wehrman

Tom S. Wehrman is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (8 papers) and Cytokine Signaling Pathways and Interactions (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (543 citations), Molecular Biology (1.1k citations) and Immunology (222 citations). Tom S. Wehrman has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Helen M. Blau, K. Christopher García, Daniel L. Bassoni, Xiaolin He, George L. Sen, Robert F. Balint, J H Her, Benjamin Kleaveland, William J. Raab and Jason W. Myers. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological 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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