Nathan C. Peabody

12 total papers · 1.1k total citations
7 papers, 725 citations indexed

About

Nathan C. Peabody is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Nathan C. Peabody has authored 7 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Ecology, Evolution, Behavior and Systematics and 2 papers in Ecology. Recurrent topics in Nathan C. Peabody's work include Neurobiology and Insect Physiology Research (5 papers), Animal Behavior and Reproduction (4 papers) and Physiological and biochemical adaptations (2 papers). Nathan C. Peabody is often cited by papers focused on Neurobiology and Insect Physiology Research (5 papers), Animal Behavior and Reproduction (4 papers) and Physiological and biochemical adaptations (2 papers). Nathan C. Peabody collaborates with scholars based in United States. Nathan C. Peabody's co-authors include Benjamin H. White, Haojiang Luan, Charles Vinson, Fengqiu Diao, Jascha B. Pohl, Howard Wang, Carol R. Lauzon, Susan D. McCombs, Michael N. Nitabach and Todd C. Holmes and has published in prestigious journals such as Neuron, Journal of Neuroscience and Journal of Experimental Biology.

In The Last Decade

Nathan C. Peabody

7 papers receiving 720 citations

Author Peers

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

Author Last Decade Papers Cites
Nathan C. Peabody 533 217 213 155 136 7 725
Sibylle Wagner 512 1.0× 256 1.2× 233 1.1× 169 1.1× 124 0.9× 14 713
Ariane Ramaekers 754 1.4× 315 1.5× 212 1.0× 181 1.2× 155 1.1× 16 854
Pelin Cayirlioglu 472 0.9× 273 1.3× 235 1.1× 107 0.7× 245 1.8× 6 746
Robert D. Roorda 716 1.3× 288 1.3× 163 0.8× 213 1.4× 135 1.0× 7 891
Jason Sih-Yu Lai 609 1.1× 257 1.2× 118 0.6× 167 1.1× 139 1.0× 10 737
Ken Honjo 505 0.9× 203 0.9× 189 0.9× 94 0.6× 133 1.0× 18 708
Matthias Fischer 435 0.8× 185 0.9× 124 0.6× 121 0.8× 105 0.8× 9 641
Maija Slaidina 403 0.8× 156 0.7× 285 1.3× 75 0.5× 122 0.9× 12 824
Kirsa Neuser 668 1.3× 338 1.6× 115 0.5× 245 1.6× 162 1.2× 9 778
Javier Valdés-Alemán 518 1.0× 201 0.9× 127 0.6× 127 0.8× 62 0.5× 8 708

Countries citing papers authored by Nathan C. Peabody

Since Specialization
Citations

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

Fields of papers citing papers by Nathan C. Peabody

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan C. Peabody

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