Stephen J. Skehan

96 total papers · 1.7k total citations
60 papers, 1.2k citations indexed

About

Stephen J. Skehan is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Stephen J. Skehan has authored 60 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 19 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Epidemiology. Recurrent topics in Stephen J. Skehan's work include Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Neuroendocrine Tumor Research Advances (5 papers). Stephen J. Skehan is often cited by papers focused on Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Neuroendocrine Tumor Research Advances (5 papers). Stephen J. Skehan collaborates with scholars based in Ireland, Canada and United Kingdom. Stephen J. Skehan's co-authors include Carole A. Ridge, Claude Nahmias, Jonathan D. Dodd, Arnold Hill, Conor D. Collins, N. J. O’Higgins, R S Prichard, Dermot E. Malone, Donal MacErlaine and Shaunagh McDermott and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Annals of Surgery.

In The Last Decade

Stephen J. Skehan

59 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Stephen J. Skehan 363 337 277 270 211 60 1.2k
Richard B. Towbin 683 1.9× 217 0.6× 463 1.7× 211 0.8× 155 0.7× 44 1.5k
Myriam Wartski 329 0.9× 569 1.7× 443 1.6× 142 0.5× 343 1.6× 41 1.4k
Kenji Ibukuro 556 1.5× 331 1.0× 328 1.2× 291 1.1× 192 0.9× 55 1.3k
Dagmar Schaffler‐Schaden 305 0.8× 393 1.2× 332 1.2× 144 0.5× 109 0.5× 72 1.3k
Lorenzo Monfardini 399 1.1× 264 0.8× 595 2.1× 120 0.4× 466 2.2× 57 1.5k
Joshua Weintraub 369 1.0× 243 0.7× 314 1.1× 175 0.6× 95 0.5× 71 1.0k
Andreu F. Costa 214 0.6× 503 1.5× 218 0.8× 257 1.0× 115 0.5× 61 1.1k
V G McDermott 692 1.9× 249 0.7× 470 1.7× 253 0.9× 281 1.3× 47 1.3k
Shaunagh McDermott 384 1.1× 379 1.1× 552 2.0× 129 0.5× 195 0.9× 88 1.3k
F Schweden 411 1.1× 420 1.2× 640 2.3× 204 0.8× 70 0.3× 72 1.3k

Countries citing papers authored by Stephen J. Skehan

Since Specialization
Citations

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

Fields of papers citing papers by Stephen J. Skehan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen J. Skehan

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