Jeffrey Cossman

11.6k citations
112 papers · 9.3k indexed · 3 hit papers · h-index 46
Topics
Lymphoma Diagnosis and Treatment (46 papers)Chronic Lymphocytic Leukemia Research (33 papers)Monoclonal and Polyclonal Antibodies Research (24 papers)

In The Last Decade

Jeffrey Cossman

111 papers receiving 8.8k citations

Hit Papers

Involvement of the bcl -2 Gene in Human Follicular Lymphoma19832026199720111985198519834008001.2k

Peers

Jeffrey Cossman
Comparison fields: 5 of 131
  • Pathology and Forensic Medicine 3.4k
  • Molecular Biology 3.3k
  • Oncology 2.9k
  • Immunology 2.9k
  • Genetics 2.4k
Replace Arnold S. Freedman with:
Arnold S. Freedman United States
Thomas M. Grogan United States
R. S. K. Chaganti United States
Stephan Dirnhofer Switzerland
Wolfram Brugger Germany
Marinus H. J. van Oers Netherlands
Luc Xerri France
Livio Trentin Italy
Michinori Ogura Japan
Izidore S. Lossos United States
Jeffrey Cossman relative to Arnold S. Freedman United States Arnold S. Freedman's profile →
Citations per field
00.5×1.5×1.8×
Arnold S. Freedman · 1×
Citations per year

Countries citing papers authored by Jeffrey Cossman

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Cossman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey Cossman. 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 Jeffrey Cossman. The network helps show where Jeffrey Cossman may publish in the future.

Co-authorship network of co-authors of Jeffrey Cossman

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Cossman. A scholar is included among the top collaborators of Jeffrey Cossman 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 Jeffrey Cossman. Jeffrey Cossman 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 48
2 42
3 60
4 51
5 36
6 5
7 10
8 4
9 68
10 10
11 179
12
Rearrangement of the T-cell receptor delta chain gene in T-cell lymphomas with a mature phenotype.
19
13 10
14 4
15 3
16 101
17 12
18 61
19 201
20 86

About Jeffrey Cossman

Jeffrey Cossman is a scholar working on Genetics, Pathology and Forensic Medicine and Immunology, having authored 112 papers that have together received 9.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (46 papers), Chronic Lymphocytic Leukemia Research (33 papers) and Monoclonal and Polyclonal Antibodies Research (24 papers). The work is most often cited by research in Genetics (2.4k citations), Pathology and Forensic Medicine (3.4k citations) and Immunology (2.9k citations). Jeffrey Cossman has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Elaine S. Jaffe, Yoshihide Tsujimoto, Carlo M. Croce, James D. Gorham, Len Neckers, Ajay Bakhshi, Stanley J. Korsmeyer, Andrew Arnold, Mark Raffeld and Thomas A. Waldmann. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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2026