Brian C. Shaffer

3.7k citations
75 papers · 1.1k · h-index 18

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

Brian C. Shaffer

65 papers receiving 1.1k citations

Peers

Brian C. Shaffer
Comparison fields: 5 of 86
  • Hematology 399
  • Immunology 309
  • Transplantation 34
  • Oncology 336
  • Infectious Diseases 141
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T. de Witte Netherlands
Mauricette Michallet France
Kazuhiro Masuoka Japan
Bilal Mohty France
Roberta Schiavo Italy
Tong Wu China
Ken Ishiyama Japan
Jean Norden United Kingdom
Wanzhuo Xie China
Étienne Daguindau France
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Citations per field
00.5×4.7×
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Citations per year

Countries citing papers authored by Brian C. Shaffer

Since Specialization
Citations

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

Fields of papers citing papers by Brian C. Shaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian C. Shaffer. 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 Brian C. Shaffer. The network helps show where Brian C. Shaffer may publish in the future.

Co-authors

The 25 scholars most cited alongside Brian C. Shaffer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian C. Shaffer Line = papers co-authored together Brian C. Shaffer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012221
2 2016118
3 201787
4 201967
5 200456
6 202037
7 202034
8 202233
9 201932
10 202429
11 201626
12 201726
13
Gas gangrene. A review.
199023
14 201923
15 200622
16 202122
17 201918
18 201917
19 201815
20 201814

About Brian C. Shaffer

Brian C. Shaffer is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Immunology, Epidemiology and Transplantation, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (41 papers), Acute Lymphoblastic Leukemia research (17 papers), Renal Transplantation Outcomes and Treatments (14 papers), Acute Myeloid Leukemia Research (14 papers), T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (11 papers), Cytomegalovirus and herpesvirus research (11 papers) and Polyomavirus and related diseases (7 papers). The work is most often cited by research in Hematology (399 citations), Immunology (309 citations), Transplantation (34 citations), Oncology (336 citations) and Infectious Diseases (141 citations). Brian C. Shaffer has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include Miguel‐Angel Perales, Katharine C. Hsu, Jean‐Pierre Gillet, Susan E. Bates, Michael M. Gottesman, Chirayu Patel, Ann A. Jakubowski, Maria R. Baer, Jean-Benoît Le Luduec and Sergio Giralt. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Blood, Blood Advances, Transplantation and Cellular Therapy and Journal of Clinical Oncology.

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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