J Byrne

33 total papers · 510 total citations
11 papers, 339 citations indexed

About

J Byrne is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, J Byrne has authored 11 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in J Byrne's work include Anesthesia and Pain Management (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). J Byrne is often cited by papers focused on Anesthesia and Pain Management (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). J Byrne collaborates with scholars based in Ireland, United States and United Kingdom. J Byrne's co-authors include T. N. Walsh, W. P. Hederman, Ronan Waldron, P. Dervan, Stephen Eustace, Michael M. Stephens, Mary Codd, John Stack, H. F. Given and Paul G. Horgan and has published in prestigious journals such as British journal of surgery, European Journal of Cancer and Skeletal Radiology.

In The Last Decade

J Byrne

10 papers receiving 317 citations

Author Peers

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

Author Last Decade Papers Cites
J Byrne 175 96 79 55 54 11 339
P. Perera 58 0.3× 168 1.8× 77 1.0× 46 0.8× 37 0.7× 12 366
Zohreh Khavandgar 43 0.2× 53 0.6× 37 0.5× 40 0.7× 25 0.5× 15 364
Brendon Richbourgh 43 0.2× 133 1.4× 28 0.4× 38 0.7× 33 0.6× 7 358
Saul F. Juliao 73 0.4× 134 1.4× 93 1.2× 18 0.3× 15 0.3× 14 367
Iván Prieto‐Potín 69 0.4× 200 2.1× 53 0.7× 32 0.6× 31 0.6× 15 370
Martin Baur 69 0.4× 44 0.5× 114 1.4× 23 0.4× 18 0.3× 14 358
J. M. Seid 35 0.2× 101 1.1× 53 0.7× 25 0.5× 22 0.4× 13 335
Lesya Zelenchuk 31 0.2× 88 0.9× 27 0.3× 82 1.5× 20 0.4× 13 367
Hajime Yamanaka 34 0.2× 52 0.5× 141 1.8× 35 0.6× 47 0.9× 18 294
Georgios Mavropalias 52 0.3× 58 0.6× 94 1.2× 104 1.9× 17 0.3× 16 309

Countries citing papers authored by J Byrne

Since Specialization
Citations

This map shows the geographic impact of J 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 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 Byrne more than expected).

Fields of papers citing papers by J Byrne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Byrne

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