Nathaniel K. Jue

32 total papers · 631 total citations
26 papers, 457 citations indexed

About

Nathaniel K. Jue is a scholar working on Genetics, Molecular Biology and Nature and Landscape Conservation. According to data from OpenAlex, Nathaniel K. Jue has authored 26 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 13 papers in Molecular Biology and 5 papers in Nature and Landscape Conservation. Recurrent topics in Nathaniel K. Jue's work include Genetic diversity and population structure (12 papers), Identification and Quantification in Food (5 papers) and Marine and fisheries research (4 papers). Nathaniel K. Jue is often cited by papers focused on Genetic diversity and population structure (12 papers), Identification and Quantification in Food (5 papers) and Marine and fisheries research (4 papers). Nathaniel K. Jue collaborates with scholars based in United States, Germany and China. Nathaniel K. Jue's co-authors include Rachel J. O’Neill, Craig Obergfell, Michael J. O’Neill, Benoît Goossens, Célia Kun‐Rodrigues, Lounès Chikhi, Reeta Sharma, Kenyon B. Mobley, Clayton M. Small and Adam G. Jones and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Virology.

In The Last Decade

Nathaniel K. Jue

25 papers receiving 444 citations

Author Peers

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

Author						Papers	Cites
Nathaniel K. Jue	217	200	109	84	61	26	457
Qiang Zhao	98 0.5×	200 1.0×	103 0.9×	68 0.8×	17 0.3×	19	420
Ji Hyoun Kang	95 0.4×	89 0.4×	162 1.5×	80 1.0×	39 0.6×	40	446
E. S. Robinson	258 1.2×	164 0.8×	100 0.9×	80 1.0×	98 1.6×	29	460
Rebekah A. Oomen	265 1.2×	148 0.7×	184 1.7×	148 1.8×	102 1.7×	24	541
Angela P. Fuentes‐Pardo	306 1.4×	220 1.1×	135 1.2×	129 1.5×	132 2.2×	13	531
Vlastimil Šlechta	252 1.2×	99 0.5×	69 0.6×	211 2.5×	21 0.3×	26	524
Rachel S. Schwartz	214 1.0×	206 1.0×	49 0.4×	44 0.5×	69 1.1×	24	456
Emily Humble	221 1.0×	180 0.9×	243 2.2×	64 0.8×	47 0.8×	21	483
M Higuchi	219 1.0×	123 0.6×	94 0.9×	137 1.6×	63 1.0×	33	429
Tereza Manousaki	237 1.1×	118 0.6×	74 0.7×	79 0.9×	48 0.8×	35	418

Countries citing papers authored by Nathaniel K. Jue

Since Specialization

Citations

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

Fields of papers citing papers by Nathaniel K. Jue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathaniel K. Jue

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