David S. Shulman

93 total papers · 1.3k total citations
44 papers, 512 citations indexed

About

David S. Shulman is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, David S. Shulman has authored 44 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pulmonary and Respiratory Medicine, 11 papers in Cancer Research and 10 papers in Pathology and Forensic Medicine. Recurrent topics in David S. Shulman's work include Sarcoma Diagnosis and Treatment (18 papers), Cancer Genomics and Diagnostics (10 papers) and Neuroblastoma Research and Treatments (9 papers). David S. Shulman is often cited by papers focused on Sarcoma Diagnosis and Treatment (18 papers), Cancer Genomics and Diagnostics (10 papers) and Neuroblastoma Research and Treatments (9 papers). David S. Shulman collaborates with scholars based in United States, France and Germany. David S. Shulman's co-authors include Steven G. DuBois, Dylan V. Neel, Brian D. Crompton, Samuel Abbou, Kevin Campbell, Thomas G. P. Grünewald, Jeffrey A. Toretsky, Arne Streitbürger, Sebastian Bauer and Stéphane Collaud and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

David S. Shulman

42 papers receiving 504 citations

Author Peers

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

Author Last Decade Papers Cites
David S. Shulman 210 150 110 109 82 44 512
Nada Riva 266 1.3× 357 2.4× 83 0.8× 47 0.4× 30 0.4× 32 585
Katarzyna Drabko 199 0.9× 86 0.6× 81 0.7× 26 0.2× 64 0.8× 78 494
Reineke A. Schoot 195 0.9× 116 0.8× 45 0.4× 40 0.4× 32 0.4× 43 511
Ruth Volland 120 0.6× 91 0.6× 207 1.9× 115 1.1× 63 0.8× 33 604
Byung-Kiu Park 81 0.4× 121 0.8× 116 1.1× 60 0.6× 106 1.3× 27 494
Jacques Olivier Bay 202 1.0× 199 1.3× 115 1.0× 80 0.7× 14 0.2× 30 472
Annalisa Serra 99 0.5× 80 0.5× 163 1.5× 43 0.4× 61 0.7× 47 517
M. V. Williams 221 1.1× 178 1.2× 141 1.3× 57 0.5× 28 0.3× 24 610
J. Hense 121 0.6× 228 1.5× 73 0.7× 42 0.4× 80 1.0× 56 586
Shripad Banavali 179 0.9× 144 1.0× 66 0.6× 38 0.3× 22 0.3× 36 480

Countries citing papers authored by David S. Shulman

Since Specialization
Citations

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

Fields of papers citing papers by David S. Shulman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Shulman. 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 David S. Shulman. The network helps show where David S. Shulman may publish in the future.

Co-authorship network of co-authors of David S. Shulman

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Shulman. A scholar is included among the top collaborators of David S. Shulman 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 David S. Shulman. David S. Shulman 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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