J Cossman

14 papers receiving 1.6k citations

Hit Papers

Expression of Multidrug Resistance Gene in Human Cancers 1989 · 1.1k citations
1.1k0+12+24Years since publication2505007501000

Peers

J Cossman
Comparison fields: 5 of 86
  • Oncology 1.1k
  • Immunology 281
  • Pathology and Forensic Medicine 218
  • Genetics 125
  • Molecular Biology 644
Replace WS Dalton with:
WS Dalton United States
Mariagrazia Michieli Italy
I Aksentijevich United States
Angela Michelutti Italy
K. Ariail United States
AM Gianni Italy
D. P. Huang Hong Kong
Ruby Phelps United States
Ivor Caro United States
Atsuko Nakagawa Japan
J Cossman relative to WS Dalton United States WS Dalton's profile →
Citations per field
00.5×4.2×
WS Dalton · 1×
Citations per year

Countries citing papers authored by J Cossman

Since Specialization
Citations

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

Fields of papers citing papers by J Cossman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J Cossman, 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 J Cossman Line = papers co-authored together J Cossman links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Expression of Multidrug Resistance Gene in Human Cancers
Hit paper breakdown →
19891083
2 1987118
3 199178
4 197875
5 198464
6 198261
7
Molecular pathways of adhesion in spontaneous rosetting of T-lymphocytes to the Hodgkin's cell line L428.
198852
8 199538
9 198528
10 19916
11 19874
12
T-cell neoplasms and Hodgkin's disease.
19874
13 19883
14 19881

About J Cossman

J Cossman is a scholar working on Pathology and Forensic Medicine, Oncology, Immunology, Molecular Biology and Genetics, having authored 14 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Viral-associated cancers and disorders (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), T-cell and B-cell Immunology (2 papers), CNS Lymphoma Diagnosis and Treatment (2 papers), Ocular Oncology and Treatments (2 papers) and Neuroblastoma Research and Treatments (1 paper). The work is most often cited by research in Oncology (1.1k citations), Immunology (281 citations), Pathology and Forensic Medicine (218 citations), Genetics (125 citations) and Molecular Biology (644 citations). J Cossman has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Lori J. Goldstein, M M Gottesman, Mark C. Willingham, Shengli Lai, Robert Pirker, W M Crist, Garrett M. Brodeur, Adi F. Gazdar, Antonio Tito Fojo and Michael M. Lieber. Their work appears in journals such as Blood, JNCI Journal of the National Cancer Institute, The Journal of Immunology, Infection and Immunity and The Journal of Experimental 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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