Paul Shaughnessy

230 total papers · 3.8k total citations
84 papers, 1.7k citations indexed

About

Paul Shaughnessy is a scholar working on Hematology, Oncology and Immunology. According to data from OpenAlex, Paul Shaughnessy has authored 84 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Hematology, 43 papers in Oncology and 20 papers in Immunology. Recurrent topics in Paul Shaughnessy's work include Hematopoietic Stem Cell Transplantation (38 papers), CAR-T cell therapy research (26 papers) and Multiple Myeloma Research and Treatments (13 papers). Paul Shaughnessy is often cited by papers focused on Hematopoietic Stem Cell Transplantation (38 papers), CAR-T cell therapy research (26 papers) and Multiple Myeloma Research and Treatments (13 papers). Paul Shaughnessy collaborates with scholars based in United States, United Kingdom and Canada. Paul Shaughnessy's co-authors include Paul A. Carpenter, John R. Wingard, Yair Gazitt, Bipin N. Savani, Jeffrey Schriber, Corey Cutler, Paul J. Martin, Donna A. Wall, J. Douglas Rizzo and Mark R. Litzow and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Paul Shaughnessy

72 papers receiving 1.7k citations

Hit Papers

First- and Second-Line Sy... 2012 2026 2016 2021 2012 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Paul Shaughnessy 1.3k 506 495 272 269 84 1.7k
Leo Luznik 1.3k 1.0× 654 1.3× 908 1.8× 237 0.9× 208 0.8× 60 1.8k
Michael Schleuning 1.3k 1.0× 353 0.7× 470 0.9× 165 0.6× 259 1.0× 58 1.8k
Taiga Nishihori 979 0.7× 740 1.5× 342 0.7× 386 1.4× 229 0.9× 169 1.7k
J Cahn 1.1k 0.9× 391 0.8× 329 0.7× 282 1.0× 216 0.8× 70 1.6k
Andrew R. Rezvani 856 0.6× 524 1.0× 411 0.8× 266 1.0× 392 1.5× 72 1.5k
T. de Witte 877 0.7× 396 0.8× 334 0.7× 253 0.9× 268 1.0× 54 1.4k
Belinda R. Avalos 1.0k 0.8× 777 1.5× 706 1.4× 386 1.4× 226 0.8× 98 2.1k
Sunil Abhyankar 1.2k 0.9× 478 0.9× 555 1.1× 449 1.7× 342 1.3× 140 1.9k
Henrique Bittencourt 899 0.7× 434 0.9× 320 0.6× 235 0.9× 341 1.3× 89 1.6k
Ignazio Majolino 1.5k 1.1× 695 1.4× 504 1.0× 394 1.4× 468 1.7× 104 2.3k

Countries citing papers authored by Paul Shaughnessy

Since Specialization
Citations

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

Fields of papers citing papers by Paul Shaughnessy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Shaughnessy

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