Dan Sutherlin

19 total papers · 535 total citations
5 papers, 431 citations indexed

About

Dan Sutherlin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Dan Sutherlin has authored 5 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Oncology. Recurrent topics in Dan Sutherlin's work include Neuropeptides and Animal Physiology (2 papers), Peptidase Inhibition and Analysis (2 papers) and Cardiac Structural Anomalies and Repair (1 paper). Dan Sutherlin is often cited by papers focused on Neuropeptides and Animal Physiology (2 papers), Peptidase Inhibition and Analysis (2 papers) and Cardiac Structural Anomalies and Repair (1 paper). Dan Sutherlin collaborates with scholars based in United States and France. Dan Sutherlin's co-authors include Frédéric J. de Sauvage, Robert L. Yauch, Lasse Weinmann, Stephen E. Gould, Bruno Alicke, Thomas Januario, Richard Goldsmith, Suzie J. Scales, Gerrit J.P. Dijkgraaf and Kristina West and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Dan Sutherlin

5 papers receiving 419 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dan Sutherlin 362 97 66 45 42 5 431
Hermine Roudaut 339 0.9× 70 0.7× 105 1.6× 34 0.8× 14 0.3× 9 434
Wendy Glénisson 355 1.0× 129 1.3× 30 0.5× 18 0.4× 21 0.5× 4 470
Harmony K. Phillips 241 0.7× 142 1.5× 46 0.7× 8 0.2× 22 0.5× 5 484
Chao-Ming Shih 283 0.8× 64 0.7× 38 0.6× 61 1.4× 16 0.4× 4 416
Wan Rong Qiu 330 0.9× 108 1.1× 48 0.7× 9 0.2× 13 0.3× 6 438
Diana C. Alcobia 287 0.8× 72 0.7× 16 0.2× 13 0.3× 64 1.5× 4 455
Kate F. Whitecross 289 0.8× 94 1.0× 24 0.4× 8 0.2× 23 0.5× 6 374
Katherine Lewis 149 0.4× 127 1.3× 90 1.4× 16 0.4× 16 0.4× 6 434
Robyn Warrener 424 1.2× 111 1.1× 27 0.4× 16 0.4× 22 0.5× 8 460
Niamh Keon 335 0.9× 166 1.7× 61 0.9× 13 0.3× 19 0.5× 8 488

Countries citing papers authored by Dan Sutherlin

Since Specialization
Citations

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

Fields of papers citing papers by Dan Sutherlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Sutherlin. 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 Dan Sutherlin. The network helps show where Dan Sutherlin may publish in the future.

Co-authorship network of co-authors of Dan Sutherlin

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

All Works

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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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