David C. Fajgenbaum

8.7k citations
120 papers · 4.2k indexed · 2 hit papers · h-index 23
Topics
Viral-associated cancers and disorders (92 papers)Lymphoma Diagnosis and Treatment (49 papers)Histiocytic Disorders and Treatments (25 papers)
Partner nations
United StatesJapanCanada

In The Last Decade

David C. Fajgenbaum

105 papers receiving 4.1k citations

Hit Papers

Cytokine Storm20202026202220242020202050010001.5k

Peers

David C. Fajgenbaum
Comparison fields: 5 of 124
  • Oncology 2.0k
  • Infectious Diseases 1.4k
  • Pathology and Forensic Medicine 801
  • Neurology 744
  • Rheumatology 709
Replace Carlo Perricone with:
Carlo Perricone Italy
Alessia Alunno Italy
Roberto Gerli Italy
Adriana Rojas‐Villarraga Colombia
Akio Morinobu Japan
Yvan Jamilloux France
Lucienne Chatenoud France
Christian M. Hedrich Germany
L Makowka United States
Michel Noutsias Germany
David C. Fajgenbaum relative to Carlo Perricone Italy Carlo Perricone's profile →
Citations per field
00.5×4.0×
Carlo Perricone · 1×
Citations per year

Countries citing papers authored by David C. Fajgenbaum

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of David C. Fajgenbaum

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Fajgenbaum. A scholar is included among the top collaborators of David C. Fajgenbaum 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 C. Fajgenbaum. David C. Fajgenbaum 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
#WorkIndexed citations
1 3
2 1
3 1
4 14
5 1
6 1
7 6
8 2
9 16
10 1
11 1
12 4
13 13
14 17
15 0
16 2
17 13
18 22
19 96
20 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) and Histiocytic Disorders and Treatments (25 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.

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