Nathan T. Henderson

22 total papers · 517 total citations
9 papers, 354 citations indexed

About

Nathan T. Henderson is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Nathan T. Henderson has authored 9 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 2 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Nathan T. Henderson's work include Axon Guidance and Neuronal Signaling (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Neurogenetic and Muscular Disorders Research (2 papers). Nathan T. Henderson is often cited by papers focused on Axon Guidance and Neuronal Signaling (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Neurogenetic and Muscular Disorders Research (2 papers). Nathan T. Henderson collaborates with scholars based in United States, Austria and South Korea. Nathan T. Henderson's co-authors include Matthew B. Dalva, Sylvain J. Le Marchand, Martin Hruska, Haani Jafri, Nan Xia, Thomas A. Neubert, Dipti V. Tillu, Daniel S. Spellman, Guoan Zhang and Shayne Hassler and has published in prestigious journals such as Nature Communications, Nature Neuroscience and PLoS Biology.

In The Last Decade

Nathan T. Henderson

8 papers receiving 352 citations

Author Peers

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

Author						Papers	Cites
Nathan T. Henderson	244	146	65	51	46	9	354
Yoshihisa Nakahata	215 0.9×	215 1.5×	65 1.0×	49 1.0×	50 1.1×	16	395
Natacha Retailleau	203 0.8×	194 1.3×	49 0.8×	34 0.7×	61 1.3×	7	345
Theresa Wiesner	117 0.5×	86 0.6×	43 0.7×	89 1.7×	24 0.5×	8	294
Matthew J. Broadhead	158 0.6×	104 0.7×	64 1.0×	28 0.5×	35 0.8×	17	351
Babis Koniaris	149 0.6×	126 0.9×	76 1.2×	45 0.9×	50 1.1×	11	338
Edgar Rodriguez	216 0.9×	101 0.7×	99 1.5×	11 0.2×	37 0.8×	8	346
Sarah Aufmkolk	151 0.6×	134 0.9×	27 0.4×	99 1.9×	28 0.6×	10	309
Julia Klueva	216 0.9×	199 1.4×	53 0.8×	42 0.8×	93 2.0×	8	340
Virginie Labrousse	214 0.9×	171 1.2×	85 1.3×	19 0.4×	44 1.0×	7	370
Vanessa Lanoue	152 0.6×	151 1.0×	40 0.6×	19 0.4×	82 1.8×	10	322

Countries citing papers authored by Nathan T. Henderson

Since Specialization

Citations

This map shows the geographic impact of Nathan T. Henderson'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 T. Henderson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan T. Henderson more than expected).

Fields of papers citing papers by Nathan T. Henderson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan T. Henderson

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