Nathan Brown

55 total papers · 1.4k total citations
35 papers, 927 citations indexed

About

Nathan Brown is a scholar working on Molecular Biology, Genetics and Archeology. According to data from OpenAlex, Nathan Brown has authored 35 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Archeology. Recurrent topics in Nathan Brown's work include Forensic Anthropology and Bioarchaeology Studies (6 papers), dental development and anomalies (4 papers) and Digital Imaging in Medicine (4 papers). Nathan Brown is often cited by papers focused on Forensic Anthropology and Bioarchaeology Studies (6 papers), dental development and anomalies (4 papers) and Digital Imaging in Medicine (4 papers). Nathan Brown collaborates with scholars based in United Kingdom, United States and Canada. Nathan Brown's co-authors include B. K. Follett, Bart Barlogie, Peter A. Lund, John D. Shaughnessy, Yu Chen, Joshua Epstein, Ya‐Wei Qiang, Jason P. Mansell, Owen Stephens and Bangzheng Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Endocrinology.

In The Last Decade

Nathan Brown

34 papers receiving 890 citations

Author Peers

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

Author						Papers	Cites
Nathan Brown	379	216	169	142	123	35	927
Elizabeth Ford	238 0.6×	272 1.3×	23 0.1×	43 0.3×	23 0.2×	63	995
Diana L. Johnson	157 0.4×	125 0.6×	34 0.2×	31 0.2×	35 0.3×	36	984
Makoto Abe	780 2.1×	200 0.9×	74 0.4×	27 0.2×	10 0.1×	56	1.2k
R.C. Herold	421 1.1×	236 1.1×	25 0.1×	62 0.4×	9 0.1×	45	1.2k
Faye Sweat Waldrop	366 1.0×	115 0.5×	56 0.3×	11 0.1×	20 0.2×	28	1.0k
Trudy J. Milne	456 1.2×	119 0.6×	118 0.7×	11 0.1×	20 0.2×	39	969
Nikita Sinha	372 1.0×	83 0.4×	90 0.5×	31 0.2×	137 1.1×	50	851
Paul M. Bronson	345 0.9×	48 0.2×	95 0.6×	36 0.3×	32 0.3×	43	965
Freida L. Carson	239 0.6×	103 0.5×	74 0.4×	30 0.2×	16 0.1×	25	1.0k
Francis R. Denys	223 0.6×	130 0.6×	26 0.2×	29 0.2×	28 0.2×	51	1.2k

Countries citing papers authored by Nathan Brown

Since Specialization

Citations

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

Fields of papers citing papers by Nathan Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Brown

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