Daniel Catovsky

58 papers receiving 1.9k citations

Daniel Catovsky's Hit Papers

The human type‐C retrovirus, HTLV, in blacks from the Caribbean region, and relationship to adult T‐cell leukemia/lymphoma 1982 · 493 citations
4930+14+29Years since publication100200300400

Peers

Daniel Catovsky
Comparison fields: 5 of 69
  • Genetics 589
  • Immunology 1.1k
  • Agronomy and Crop Science 528
  • Pathology and Forensic Medicine 679
  • Hematology 313
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Keisuke Minato United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Catovsky

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Catovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The human type‐C retrovirus, HTLV, in blacks from the Caribbean region, and relationship to adult T‐cell leukemia/lymphoma
Hit paper breakdown →
1982493
2 1991143
3
The diagnostic value of CD123 in B-cell disorders with hairy or villous lymphocytes.
200499
4 198876
5 199675
6 199567
7 200167
8 198863
9 199558
10 199857
11 200252
12 200446
13 198345
14 200337
15
Gene abnormalities in multiple myeloma; the relevance of TP53, MDM2, and CDKN2A.
200336
16 200336
17 199435
18 197835
19 199935
20
The Lymphoid Leukaemias
199034

About Daniel Catovsky

Daniel Catovsky is a scholar working on Genetics, Immunology, Pathology and Forensic Medicine, Agronomy and Crop Science and Oncology, having authored 58 papers that have together received 2.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (23 papers), T-cell and Retrovirus Studies (22 papers), Lymphoma Diagnosis and Treatment (19 papers), Vector-Borne Animal Diseases (11 papers), Animal Disease Management and Epidemiology (8 papers), Viral-associated cancers and disorders (8 papers), Glycosylation and Glycoproteins Research (5 papers) and Cutaneous lymphoproliferative disorders research (5 papers). The work is most often cited by research in Genetics (589 citations), Immunology (1.1k citations), Agronomy and Crop Science (528 citations), Pathology and Forensic Medicine (679 citations) and Hematology (313 citations). Daniel Catovsky has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Estella Matutes, Ricardo M. Morilla, Claire E. Dearden, William A. Blattner, Estela Matutes, M. F. Greaves, T. Andrew Lister, Marjorie Robert‐Guroff, Prem S. Sarin and V. S. Kalyanaraman. Their work appears in journals such as British Journal of Haematology, Leukemia Research, International Journal of Cancer, American Journal of Clinical Pathology and The Lancet.

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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