Susannah S. Lewis

16 total papers · 1.3k total citations
12 papers, 716 citations indexed

About

Susannah S. Lewis is a scholar working on Cellular and Molecular Neuroscience, Physiology and Equine. According to data from OpenAlex, Susannah S. Lewis has authored 12 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 6 papers in Physiology and 4 papers in Equine. Recurrent topics in Susannah S. Lewis's work include Pain Mechanisms and Treatments (5 papers), Veterinary Equine Medical Research (4 papers) and Neuropeptides and Animal Physiology (4 papers). Susannah S. Lewis is often cited by papers focused on Pain Mechanisms and Treatments (5 papers), Veterinary Equine Medical Research (4 papers) and Neuropeptides and Animal Physiology (4 papers). Susannah S. Lewis collaborates with scholars based in United States, Australia and United Kingdom. Susannah S. Lewis's co-authors include Steven F. Maier, Linda R. Watkins, Mark R. Hutchinson, Yingning Zhang, Charles M. Judd, Benjamen D. Coats, Stephanie J. Valberg, Kenner C. Rice, Niloofar Rezvani and David A. Skyba and has published in prestigious journals such as Brain Behavior and Immunity, Journal of Pain and Journal of Veterinary Internal Medicine.

In The Last Decade

Susannah S. Lewis

12 papers receiving 706 citations

Author Peers

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

Author Last Decade Papers Cites
Susannah S. Lewis 328 298 182 158 80 12 716
Jean-Sébastien Austin 256 0.8× 449 1.5× 163 0.9× 86 0.5× 95 1.2× 7 765
Christa M. Studzinski 116 0.4× 502 1.7× 282 1.5× 159 1.0× 32 0.4× 18 898
Elizabeth I. Sypek 484 1.5× 406 1.4× 305 1.7× 106 0.7× 36 0.5× 12 900
Alex E. Lechin 141 0.4× 290 1.0× 129 0.7× 33 0.2× 102 1.3× 26 910
Michael R. Due 266 0.8× 222 0.7× 170 0.9× 52 0.3× 40 0.5× 27 647
Timothy Fabisiak 211 0.6× 291 1.0× 182 1.0× 179 1.1× 74 0.9× 10 678
Lori N. Eidson 346 1.1× 304 1.0× 179 1.0× 223 1.4× 66 0.8× 14 799
Veronica Fagerholm 186 0.6× 118 0.4× 221 1.2× 23 0.1× 31 0.4× 16 659
Julie Wieseler 293 0.9× 377 1.3× 164 0.9× 156 1.0× 144 1.8× 16 727
Niloofar Rezvani 300 0.9× 327 1.1× 149 0.8× 135 0.9× 142 1.8× 10 659

Countries citing papers authored by Susannah S. Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Susannah S. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susannah S. Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of Susannah S. Lewis. A scholar is included among the top collaborators of Susannah S. Lewis 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 Susannah S. Lewis. Susannah S. Lewis 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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