John D. Shaughnessy

87 total papers · 1.4k total citations
30 papers, 996 citations indexed

About

John D. Shaughnessy is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, John D. Shaughnessy has authored 30 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Hematology, 18 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in John D. Shaughnessy's work include Multiple Myeloma Research and Treatments (20 papers), Glycosylation and Glycoproteins Research (4 papers) and Ubiquitin and proteasome pathways (4 papers). John D. Shaughnessy is often cited by papers focused on Multiple Myeloma Research and Treatments (20 papers), Glycosylation and Glycoproteins Research (4 papers) and Ubiquitin and proteasome pathways (4 papers). John D. Shaughnessy collaborates with scholars based in United States, Canada and Poland. John D. Shaughnessy's co-authors include Bart Barlogie, Maurizio Zangari, Guido Tricot, John Crowley, Elias Anaissie, Joth Jacobson, Fenghuang Zhan, Yiming Zhou, Leslie C. Grammer and Martha A. Shaughnessy and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Blood.

In The Last Decade

John D. Shaughnessy

30 papers receiving 971 citations

Author Peers

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

Author						Papers	Cites
John D. Shaughnessy	607	582	323	179	127	30	996
Paloma García	742 1.2×	270 0.5×	247 0.8×	192 1.1×	110 0.9×	41	1.1k
Paula B. van Hennik	425 0.7×	328 0.6×	200 0.6×	106 0.6×	244 1.9×	35	929
Sarah Beck	529 0.9×	255 0.4×	202 0.6×	63 0.4×	106 0.8×	30	1.0k
SM Watt	397 0.7×	562 1.0×	178 0.6×	104 0.6×	370 2.9×	20	1.1k
Dominique Bluteau	484 0.8×	711 1.2×	145 0.4×	106 0.6×	190 1.5×	22	1.2k
Françoise Sainteny	369 0.6×	384 0.7×	181 0.6×	109 0.6×	219 1.7×	35	818
Daniela Belloni	361 0.6×	184 0.3×	230 0.7×	91 0.5×	151 1.2×	27	801
Sebastian Dütting	257 0.4×	355 0.6×	161 0.5×	97 0.5×	176 1.4×	18	839
André Haman	463 0.8×	310 0.5×	216 0.7×	70 0.4×	365 2.9×	25	926
R Schirò	353 0.6×	557 1.0×	323 1.0×	71 0.4×	258 2.0×	35	1.2k

Countries citing papers authored by John D. Shaughnessy

Since Specialization

Citations

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

Fields of papers citing papers by John D. Shaughnessy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Shaughnessy. 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 John D. Shaughnessy. The network helps show where John D. Shaughnessy may publish in the future.

Co-authorship network of co-authors of John D. Shaughnessy

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Shaughnessy. A scholar is included among the top collaborators of John D. Shaughnessy 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 John D. Shaughnessy. John D. Shaughnessy 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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