Fletcher J. Young

33 total papers · 438 total citations
14 papers, 227 citations indexed

About

Fletcher J. Young is a scholar working on Ecology, Evolution, Behavior and Systematics, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Fletcher J. Young has authored 14 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, Evolution, Behavior and Systematics, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Genetics. Recurrent topics in Fletcher J. Young's work include Plant and animal studies (8 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Neurobiology and Insect Physiology Research (4 papers). Fletcher J. Young is often cited by papers focused on Plant and animal studies (8 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Neurobiology and Insect Physiology Research (4 papers). Fletcher J. Young collaborates with scholars based in United Kingdom, Panama and Brazil. Fletcher J. Young's co-authors include Stephen H. Montgomery, Jakob Vinther, W. Owen McMillan, Gregory D. Edgecombe, Graham E. Budd, Arne Thorshøj Nielsen, Jusun Woo, Tae‐Yoon S. Park, M. Paul Smith and Changkun Park and has published in prestigious journals such as Nature Communications, Current Biology and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Fletcher J. Young

14 papers receiving 220 citations

Author Peers

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

Author						Papers	Cites
Fletcher J. Young	132	77	68	67	42	14	227
Daniel Papillon	64 0.5×	85 1.1×	58 0.9×	42 0.6×	66 1.6×	7	317
Anja E. Klann	67 0.5×	52 0.7×	75 1.1×	18 0.3×	15 0.4×	15	174
Emily V.W. Setton	52 0.4×	91 1.2×	98 1.4×	19 0.3×	34 0.8×	13	247
Anna Syme	66 0.5×	39 0.5×	37 0.5×	20 0.3×	106 2.5×	19	307
Daniela Bartel	145 1.1×	27 0.4×	60 0.9×	18 0.3×	45 1.1×	9	279
Daniel J. Leite	52 0.4×	67 0.9×	108 1.6×	55 0.8×	26 0.6×	15	298
Vladimir Gross	221 1.7×	34 0.4×	30 0.4×	23 0.3×	14 0.3×	17	279
R. Voigt	47 0.4×	62 0.8×	28 0.4×	96 1.4×	17 0.4×	14	289
Dan-Eric Nilsson	79 0.6×	16 0.2×	28 0.4×	91 1.4×	32 0.8×	13	285
Ruth Ann Dewel	151 1.1×	85 1.1×	21 0.3×	8 0.1×	53 1.3×	14	273

Countries citing papers authored by Fletcher J. Young

Since Specialization

Citations

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

Fields of papers citing papers by Fletcher J. Young

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fletcher J. Young. 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 Fletcher J. Young. The network helps show where Fletcher J. Young may publish in the future.

Co-authorship network of co-authors of Fletcher J. Young

This figure shows the co-authorship network connecting the top 25 collaborators of Fletcher J. Young. A scholar is included among the top collaborators of Fletcher J. Young 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 Fletcher J. Young. Fletcher J. Young 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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