David C. Fajgenbaum
- Infectious Diseases top 1%
- Oncology top 1%
- Viral-associated cancers and disorders 92
- Polyomavirus and related diseases 18
- Neurology top 2%
- CNS Lymphoma Diagnosis and Treatment 15
- Rheumatology top 1%
- Eosinophilic Disorders and Syndromes 16
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- Lymphoma Diagnosis and Treatment 49
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- Histiocytic Disorders and Treatments 25
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- Renal Diseases and Glomerulopathies 24
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- Chronic Lymphocytic Leukemia Research 15
- Co-authors
- Carl H. JuneFrits van RheeAngela DispenzieriChristopher S. NabelDustin ShillingSheila K. PiersonRazelle KurzrockPuja Mehta
- Cited by
- Infectious DiseasesOncologyNeurology
- Journals
- New England Journal of Medicine (2 papers)The Lancet (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesJapanCanada
In The Last Decade
David C. Fajgenbaum
105 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Infectious Diseases 1.4k
- Oncology 2.0k
- Neurology 744
- Rheumatology 709
- Pathology and Forensic Medicine 801
Countries citing papers authored by David C. Fajgenbaum
This map shows the geographic impact of David C. Fajgenbaum'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 C. Fajgenbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Fajgenbaum more than expected).
Fields of papers citing papers by David C. Fajgenbaum
This network shows the impact of papers produced by David C. Fajgenbaum. 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 C. Fajgenbaum. The network helps show where David C. Fajgenbaum may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David C. Fajgenbaum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 13 | |
| 14 | 2022 | 17 | |
| 15 | 2021 | 0 | |
| 16 | 2021 | 2 | |
| 17 | 2021 | 13 | |
| 18 | 2021 | 22 | |
| 19 | 2021 | 96 | |
| 20 | 2012 | 14 |
About David C. Fajgenbaum
David C. Fajgenbaum is a scholar working on Oncology, Nephrology and Pathology and Forensic Medicine, having authored 120 papers that have together received 4.2k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (92 papers), Lymphoma Diagnosis and Treatment (49 papers), Histiocytic Disorders and Treatments (25 papers), Renal Diseases and Glomerulopathies (24 papers), Polyomavirus and related diseases (18 papers), Eosinophilic Disorders and Syndromes (16 papers), Chronic Lymphocytic Leukemia Research (15 papers) and CNS Lymphoma Diagnosis and Treatment (15 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Oncology (2.0k citations) and Neurology (744 citations). David C. Fajgenbaum has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Carl H. June, Frits van Rhee, Angela Dispenzieri, Christopher S. Nabel, Dustin Shilling, Sheila K. Pierson, Razelle Kurzrock, Puja Mehta, Jason R. Ruth and Amy Liu. Their work appears in journals such as New England Journal of Medicine, The Lancet and Nature Communications.
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.