Stephen R. Spellman

19.5k total citations · 3 hit papers
265 papers, 9.2k citations indexed

About

Stephen R. Spellman is a scholar working on Hematology, Immunology and Transplantation. According to data from OpenAlex, Stephen R. Spellman has authored 265 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 196 papers in Hematology, 150 papers in Immunology and 62 papers in Transplantation. Recurrent topics in Stephen R. Spellman's work include Hematopoietic Stem Cell Transplantation (184 papers), T-cell and B-cell Immunology (102 papers) and Immune Cell Function and Interaction (95 papers). Stephen R. Spellman is often cited by papers focused on Hematopoietic Stem Cell Transplantation (184 papers), T-cell and B-cell Immunology (102 papers) and Immune Cell Function and Interaction (95 papers). Stephen R. Spellman collaborates with scholars based in United States, Germany and United Kingdom. Stephen R. Spellman's co-authors include Michael Haagenson, Mary M. Horowitz, Effie W. Petersdorf, Dennis L. Confer, Stephanie J. Lee, Tao Wang, Mary Eapen, John P. Klein, Martin Maiers and Carolyn Katovich Hurley and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

Stephen R. Spellman

257 papers receiving 9.0k citations

Hit Papers

High-resolution donor-recipient HLA matching contributes ... 2007 2026 2013 2019 2007 2014 2017 250 500 750

Peers

Stephen R. Spellman
Comparison fields: 5 of 131
  • Hematology 5.8k
  • Immunology 5.2k
  • Oncology 1.6k
  • Transplantation 1.2k
  • Genetics 1.1k
Replace John Koreth with:
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Arjan C. Lankester Netherlands
Michael R. Verneris United States
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John Koreth United States View profile →
Citations per field, relative to Stephen R. Spellman
Stephen R. Spellman · 1×
Citations per year, relative to Stephen R. Spellman
Stephen R. Spellman · 1×

Countries citing papers authored by Stephen R. Spellman

Since Specialization
Citations

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

Fields of papers citing papers by Stephen R. Spellman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen R. Spellman

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen R. Spellman. A scholar is included among the top collaborators of Stephen R. Spellman 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 R. Spellman. Stephen R. Spellman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 2
4 1
5 0
6 2
7 2
8 4
9 1
10 3
11 1
12 13
13 1
14 9
15 27
16 23
17 173
18
Validation of a New Scrub typhus Rapid Kit-Standard Q Tsutsugamushi IgM/IgG
0
19 8
20 157

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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