Todd M. Suter

1.1k citations
12 papers · 740 indexed · 1 hit paper · h-index 9
Topics
Receptor Mechanisms and Signaling (7 papers)Neuropeptides and Animal Physiology (6 papers)Regulation of Appetite and Obesity (4 papers)

In The Last Decade

Todd M. Suter

11 papers receiving 717 citations

Hit Papers

Tirzepatide is an imbalanced and biased dual GIP and GLP-...20202026202220242020100200300

Peers

Todd M. Suter
Comparison fields: 5 of 65
  • Physiology 283
  • Endocrinology, Diabetes and Metabolism 270
  • Molecular Biology 258
  • Endocrine and Autonomic Systems 242
  • Epidemiology 187
Replace Jennifer Athanacio with:
Jennifer Athanacio United States
Edwin T. Parlevliet Netherlands
Peter S. Griffin United States
R. Troke United Kingdom
Lene Jessen Denmark
Elizabeth Zieliński United States
Cintia Folgueira Spain
Britta Meier Germany
Sunil Bhavsar United States
Rachel M. Mayers United Kingdom
Todd M. Suter relative to Jennifer Athanacio United States Jennifer Athanacio's profile →
Citations per field
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Jennifer Athanacio · 1×
Citations per year

Countries citing papers authored by Todd M. Suter

Since Specialization
Citations

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

Fields of papers citing papers by Todd M. Suter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd M. Suter. 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 Todd M. Suter. The network helps show where Todd M. Suter may publish in the future.

Co-authorship network of co-authors of Todd M. Suter

This figure shows the co-authorship network connecting the top 25 collaborators of Todd M. Suter. A scholar is included among the top collaborators of Todd M. Suter 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 Todd M. Suter. Todd M. Suter 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 8
2
Tirzepatide is an imbalanced and biased dual GIP and GLP-1 receptor agonistbreakdown →
314
3 0
4 4
5 9
6 10
7 29
8 9
9 11
10 47
11 121
12 178

About Todd M. Suter

Todd M. Suter is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Toxicology, having authored 12 papers that have together received 740 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (6 papers) and Regulation of Appetite and Obesity (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (242 citations), Endocrinology, Diabetes and Metabolism (270 citations) and Physiology (283 citations). Todd M. Suter has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Michael A. Statnick, Mark L. Heiman, Matthias H. Tschöp, Paul J. Emmerson, David A. D’Alessio, Jens J. Holst, Mette M. Rosenkilde, Aaron D. Showalter, Megan E. Capozzi and Shweta Urva. Their work appears in journals such as PLoS ONE, The FASEB Journal and Endocrinology.

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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