J C Byrne

14 total papers · 2.2k total citations
13 papers, 2.0k citations indexed

About

J C Byrne is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, J C Byrne has authored 13 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Epidemiology. Recurrent topics in J C Byrne's work include Virus-based gene therapy research (6 papers), Molecular Biology Techniques and Applications (4 papers) and T-cell and Retrovirus Studies (3 papers). J C Byrne is often cited by papers focused on Virus-based gene therapy research (6 papers), Molecular Biology Techniques and Applications (4 papers) and T-cell and Retrovirus Studies (3 papers). J C Byrne collaborates with scholars based in United States and United Kingdom. J C Byrne's co-authors include Peter M. Howley, Karl Münger, Martin Scheffner, Nava Sarver, Alison A. McBride, Ming-Fan Law, M S Rabson, Ying Yang, Priscilla A. Furth and John Rex and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Molecular and Cellular Biology.

In The Last Decade

J C Byrne

13 papers receiving 1.8k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
J C Byrne 889 874 623 617 319 13 2.0k
David J. Brigati 521 0.6× 1.3k 1.5× 450 0.7× 457 0.7× 231 0.7× 32 2.7k
Dohun Pyeon 900 1.0× 931 1.1× 264 0.4× 582 0.9× 672 2.1× 38 2.3k
R Greaves 942 1.1× 877 1.0× 319 0.5× 892 1.4× 289 0.9× 15 2.0k
Gary Geiss 496 0.6× 1.3k 1.4× 243 0.4× 386 0.6× 649 2.0× 26 2.6k
Jeffrey M. Greve 434 0.5× 709 0.8× 359 0.6× 163 0.3× 470 1.5× 19 2.3k
G M Duke 1.3k 1.5× 1.3k 1.4× 327 0.5× 164 0.3× 337 1.1× 15 3.1k
Ralph F. Hopkins 397 0.4× 571 0.7× 191 0.3× 493 0.8× 661 2.1× 22 1.8k
B A Spalholz 787 0.9× 708 0.8× 888 1.4× 274 0.4× 400 1.3× 14 1.8k
Sylvie Beaudenon 964 1.1× 1.6k 1.8× 386 0.6× 723 1.2× 511 1.6× 27 2.7k
R. Philip Custer 278 0.3× 713 0.8× 390 0.6× 470 0.8× 969 3.0× 23 2.4k

Countries citing papers authored by J C Byrne

Since Specialization
Citations

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

Fields of papers citing papers by J C Byrne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J C Byrne

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