Daniel Catovsky

2.4k citations
47 papers · 1.7k indexed · 1 hit paper · h-index 23

Daniel Catovsky

46 papers receiving 1.6k citations

Hit Papers

The human type‐C retrovirus, HTLV, in blacks from the Car...4521982202619962011100200300400

Peers

Daniel Catovsky
Comparison fields: 5 of 66
  • Genetics 522
  • Immunology 963
  • Agronomy and Crop Science 453
  • Pathology and Forensic Medicine 636
  • Ecology, Evolution, Behavior and Systematics 434
Replace Hitoshi Suzushima with:
Hitoshi Suzushima Japan
K Minato United States
Kaoru Uchimaru Japan
Kohichi Ohshima Japan
GP Schechter United States
David A. G. Galton United Kingdom
F Sigaux France
TP Jr Loughran United States
Noriaki Yoshida Japan
Michihiro Hidaka Japan
Daniel Catovsky relative to Hitoshi Suzushima Japan Hitoshi Suzushima's profile →
Citations per field
00.5×2.5×
Hitoshi Suzushima · 1×
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-authorship network

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
#Work
1 200442
2 200334
3 200211
4 200249
5 20003
6 19985
7 199811
8 19982
9 199721
10 199671
11 199562
12 19954
13 199552
14 19948
15 199331
16 19917
17 1991124
18 199131
19 199014
20 198858

About Daniel Catovsky

Daniel Catovsky is a scholar working on Genetics, Immunology, Pathology and Forensic Medicine, Dermatology and Hematology, having authored 47 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (23 papers), Lymphoma Diagnosis and Treatment (18 papers), T-cell and Retrovirus Studies (17 papers), Viral-associated cancers and disorders (7 papers), Vector-Borne Animal Diseases (7 papers), Immune Cell Function and Interaction (5 papers), Cutaneous lymphoproliferative disorders research (5 papers) and Animal Disease Management and Epidemiology (5 papers). The work is most often cited by research in Genetics (522 citations), Immunology (963 citations), Agronomy and Crop Science (453 citations), Pathology and Forensic Medicine (636 citations) and Ecology, Evolution, Behavior and Systematics (434 citations). Daniel Catovsky has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Estella Matutes, Ricardo Morilla, William A. Blattner, T. Andrew Lister, David A. G. Galton, V. S. Kalyanaraman, Marjorie Robert‐Guroff, Michael H. Crawford, Prem S. Sarin and Richard L. Gallo. Their work appears in journals such as British Journal of Haematology, Leukemia Research, International Journal of Cancer, American Journal of Clinical Pathology and Genes Chromosomes and Cancer.

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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