Kyle K. Pitchers

23 total papers · 1.3k total citations
19 papers, 969 citations indexed

About

Kyle K. Pitchers is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Social Psychology. According to data from OpenAlex, Kyle K. Pitchers has authored 19 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 8 papers in Social Psychology. Recurrent topics in Kyle K. Pitchers's work include Neurotransmitter Receptor Influence on Behavior (13 papers), Neuroendocrine regulation and behavior (8 papers) and Receptor Mechanisms and Signaling (7 papers). Kyle K. Pitchers is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (13 papers), Neuroendocrine regulation and behavior (8 papers) and Receptor Mechanisms and Signaling (7 papers). Kyle K. Pitchers collaborates with scholars based in United States, Canada and Czechia. Kyle K. Pitchers's co-authors include Lique M. Coolen, Michael N. Lehman, Terry E. Robinson, Martin Sarter, Karla S. Frohmader, Margaret E. Balfour, Shelly B. Flagel, Steven R. Laviolette, Vincent Vialou and Hilary Wilson and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Biological Psychiatry.

In The Last Decade

Kyle K. Pitchers

19 papers receiving 952 citations

Author Peers

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

Author Last Decade Papers Cites
Kyle K. Pitchers 533 370 273 226 178 19 969
Paul D. Shilling 531 1.0× 338 0.9× 134 0.5× 423 1.9× 143 0.8× 35 1.2k
Brandi J. Mattson 589 1.1× 389 1.1× 274 1.0× 273 1.2× 189 1.1× 15 1.0k
Majid B. Shaikh 555 1.0× 500 1.4× 207 0.8× 332 1.5× 204 1.1× 35 957
Koichi Hashikawa 376 0.7× 407 1.1× 319 1.2× 197 0.9× 184 1.0× 19 948
Carmen Agustín‐Pavón 420 0.8× 324 0.9× 252 0.9× 309 1.4× 136 0.8× 40 1.1k
Josiah R. Boivin 638 1.2× 154 0.4× 564 2.1× 320 1.4× 141 0.8× 14 1.2k
Sharmin Maswood 451 0.8× 297 0.8× 172 0.6× 182 0.8× 380 2.1× 19 899
Mariana Pereira 318 0.6× 794 2.1× 206 0.8× 110 0.5× 409 2.3× 37 1.2k
Odile Gaffori 531 1.0× 520 1.4× 213 0.8× 325 1.4× 234 1.3× 26 1.1k
Dennis F. Fiorino 512 1.0× 235 0.6× 173 0.6× 208 0.9× 87 0.5× 11 837

Countries citing papers authored by Kyle K. Pitchers

Since Specialization
Citations

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

Fields of papers citing papers by Kyle K. Pitchers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle K. Pitchers. 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 Kyle K. Pitchers. The network helps show where Kyle K. Pitchers may publish in the future.

Co-authorship network of co-authors of Kyle K. Pitchers

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle K. Pitchers. A scholar is included among the top collaborators of Kyle K. Pitchers 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 Kyle K. Pitchers. Kyle K. Pitchers 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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