Kathryn M. Partin

3.2k citations
37 papers · 2.7k · h-index 24

Impact in

Papers in

Kathryn M. Partin

36 papers receiving 2.7k citations

Peers

Kathryn M. Partin
Comparison fields: 5 of 106
  • Cellular and Molecular Neuroscience 1.7k
  • Biological Psychiatry 133
  • Virology 214
  • Behavioral Neuroscience 88
  • Molecular Biology 1.6k
Replace Georgy Bakalkin with:
Georgy Bakalkin Sweden
Daniel Marcellino Sweden
Michael F. Miles United States
Philip G. Strange United Kingdom
Kirill A. Martemyanov United States
Dominique Arion United States
Hans W. D. Matthes France
Shao‐Jun Tang United States
Scott E. Hemby United States
Roxanne A. Vaughan United States
Kathryn M. Partin relative to Georgy Bakalkin Sweden Georgy Bakalkin's profile →
Citations per field
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Georgy Bakalkin · 1×
Citations per year

Countries citing papers authored by Kathryn M. Partin

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn M. Partin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kathryn M. Partin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kathryn M. Partin Line = papers co-authored together Kathryn M. Partin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993489
2 1996295
3 1994263
4 2005197
5 1986155
6 2006141
7 1995134
8 2002111
9 199192
10 201475
11 199162
12 199060
13 199356
14 199656
15 201555
16 200652
17 199449
18 199943
19 198736
20 201135

About Kathryn M. Partin

Kathryn M. Partin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Infectious Diseases, Virology and Cognitive Neuroscience, having authored 37 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (20 papers), Receptor Mechanisms and Signaling (9 papers), Ion channel regulation and function (8 papers), HIV Research and Treatment (5 papers), Neuroendocrine regulation and behavior (4 papers), HIV/AIDS drug development and treatment (4 papers), Bacteriophages and microbial interactions (3 papers) and Photochromic and Fluorescence Chemistry (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Biological Psychiatry (133 citations), Virology (214 citations), Behavioral Neuroscience (88 citations) and Molecular Biology (1.6k citations). Kathryn M. Partin has collaborated with scholars based in United States, Hungary and United Kingdom. Frequent co-authors include Mark L. Mayer, Autumn M. Weeks, Mark W. Fleck, C.A. Winters, Andrés Buonanno, Doris K. Patneau, Derek Bowie, P Tegtmeyer, Sumitra Deb and A L DeLucia. Their work appears in journals such as Journal of Virology, Molecular Pharmacology, Journal of Neuroscience, Journal of Biological Chemistry and Neuropharmacology.

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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