J. L. Vaughn

44 total papers · 1.8k total citations
34 papers, 1.5k citations indexed

About

J. L. Vaughn is a scholar working on Molecular Biology, Insect Science and Genetics. According to data from OpenAlex, J. L. Vaughn has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 9 papers in Insect Science and 8 papers in Genetics. Recurrent topics in J. L. Vaughn's work include Viral Infectious Diseases and Gene Expression in Insects (19 papers), Insect Resistance and Genetics (15 papers) and Transgenic Plants and Applications (6 papers). J. L. Vaughn is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (19 papers), Insect Resistance and Genetics (15 papers) and Transgenic Plants and Applications (6 papers). J. L. Vaughn collaborates with scholars based in United States, India and Canada. J. L. Vaughn's co-authors include R. H. Goodwin, George J. Tompkins, Graham Smith, S. A. Weiss, S. S. Kalter, Spiro J. Louloudes, Jean R. Adams, P. Faulkner, Francis E. Cole and Edward M. Dougherty and has published in prestigious journals such as Hypertension, Antimicrobial Agents and Chemotherapy and Virology.

In The Last Decade

J. L. Vaughn

32 papers receiving 1.4k citations

Hit Papers

The establishment of two ... 1977 2026 1993 2009 1977 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
J. L. Vaughn 1.3k 464 261 207 165 34 1.5k
George J. Tompkins 1.1k 0.9× 417 0.9× 197 0.8× 163 0.8× 144 0.9× 15 1.2k
Sharon C. Braunagel 1.5k 1.1× 642 1.4× 93 0.4× 303 1.5× 192 1.2× 31 1.7k
Suzanne M. Thiem 1.3k 1.0× 679 1.5× 92 0.4× 175 0.8× 124 0.8× 35 1.5k
Kristof De Schutter 1.3k 1.0× 253 0.5× 178 0.7× 125 0.6× 527 3.2× 55 1.7k
Doreen Winstanley 1.0k 0.8× 711 1.5× 64 0.2× 149 0.7× 255 1.5× 33 1.3k
Ricardo J.S. Torquato 443 0.3× 276 0.6× 96 0.4× 114 0.6× 107 0.6× 62 1.2k
T.D.C. Grace 1.1k 0.8× 561 1.2× 118 0.5× 352 1.7× 263 1.6× 32 1.7k
Shengbiao Hu 817 0.6× 199 0.4× 294 1.1× 179 0.9× 221 1.3× 79 1.4k
Elias W. Alves 837 0.6× 180 0.4× 96 0.4× 444 2.1× 165 1.0× 32 1.5k
Philippe Leone 724 0.6× 130 0.3× 141 0.5× 106 0.5× 146 0.9× 27 1.2k

Countries citing papers authored by J. L. Vaughn

Since Specialization
Citations

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

Fields of papers citing papers by J. L. Vaughn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. L. Vaughn

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