Gene C. Palmer

124 total papers · 2.7k total citations
112 papers, 2.2k citations indexed

About

Gene C. Palmer is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Gene C. Palmer has authored 112 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cellular and Molecular Neuroscience, 56 papers in Molecular Biology and 23 papers in Physiology. Recurrent topics in Gene C. Palmer's work include Neuroscience and Neuropharmacology Research (57 papers), Receptor Mechanisms and Signaling (21 papers) and Epilepsy research and treatment (13 papers). Gene C. Palmer is often cited by papers focused on Neuroscience and Neuropharmacology Research (57 papers), Receptor Mechanisms and Signaling (21 papers) and Epilepsy research and treatment (13 papers). Gene C. Palmer collaborates with scholars based in United States, Canada and United Kingdom. Gene C. Palmer's co-authors include G. Alan Robison, Fridolin Sulser, Albert A. Manian, Thomas J. Hudzik, Alfred Callahan, Robert B. Chronister, Ranjit Ray, William G. Dail, Michael D. Taylor and Otto Appenzeller and has published in prestigious journals such as Stroke, Brain Research and Journal of Cell Science.

In The Last Decade

Gene C. Palmer

111 papers receiving 2.1k citations

Author Peers

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

Author						Papers	Cites
Gene C. Palmer	1.2k	1.0k	349	337	237	112	2.2k
Il‐Sung Jang	1.2k 1.0×	851 0.8×	274 0.8×	369 1.1×	282 1.2×	109	2.3k
Guido Mannaioni	1.5k 1.3×	1.3k 1.3×	189 0.5×	324 1.0×	386 1.6×	115	3.2k
Peter J. Syapin	1.1k 0.9×	799 0.8×	136 0.4×	320 0.9×	437 1.8×	73	2.3k
Lisa Chang	559 0.5×	1.2k 1.2×	397 1.1×	344 1.0×	165 0.7×	83	2.7k
Julianna Kardos	1.3k 1.1×	1.1k 1.1×	223 0.6×	371 1.1×	282 1.2×	117	2.3k
Manoj K. Patel	972 0.8×	1.3k 1.2×	456 1.3×	378 1.1×	65 0.3×	86	2.8k
Shinya Ueno	1.0k 0.9×	809 0.8×	175 0.5×	495 1.5×	214 0.9×	94	2.4k
Reza Rahimian	588 0.5×	774 0.8×	254 0.7×	330 1.0×	533 2.2×	87	2.6k
Caetana M. Carvalho	930 0.8×	769 0.8×	260 0.7×	269 0.8×	187 0.8×	51	1.7k
Nobuya Matsuoka	825 0.7×	1.1k 1.1×	373 1.1×	722 2.1×	350 1.5×	96	2.9k

Countries citing papers authored by Gene C. Palmer

Since Specialization

Citations

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

Fields of papers citing papers by Gene C. Palmer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gene C. Palmer. 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 Gene C. Palmer. The network helps show where Gene C. Palmer may publish in the future.

Co-authorship network of co-authors of Gene C. Palmer

This figure shows the co-authorship network connecting the top 25 collaborators of Gene C. Palmer. A scholar is included among the top collaborators of Gene C. Palmer 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 Gene C. Palmer. Gene C. Palmer 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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