D Catovsky
- Genetics top 0.2%
- Chronic Lymphocytic Leukemia Research 31
- Immunology top 0.5%
- T-cell and Retrovirus Studies 41
- Immune Cell Function and Interaction 13
- Hematology top 0.5%
- Acute Myeloid Leukemia Research 27
- Chronic Myeloid Leukemia Treatments 12
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment 10
- Agronomy and Crop Science top 1%
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- Acute Lymphoblastic Leukemia research 12
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- Vector-Borne Animal Diseases 12
- Co-authors
- Estella MatutesE MatutesRicardo MorillaD. A. G. GaltonMartin J.S. DyerClaire DeardenNahla FarahatJohn Swansbury
- Cited by
- GeneticsImmunologyHematology
- Journals
- British Journal of Haematology (14 papers)Journal of Clinical Pathology (13 papers)Blood (10 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
D Catovsky
105 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Genetics 2.1k
- Immunology 2.6k
- Hematology 1.4k
- Pathology and Forensic Medicine 1.9k
- Agronomy and Crop Science 591
Countries citing papers authored by D Catovsky
This map shows the geographic impact of D 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 D Catovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D Catovsky more than expected).
Fields of papers citing papers by D Catovsky
This network shows the impact of papers produced by D 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 D Catovsky. The network helps show where D Catovsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D Catovsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 19 | |
| 2 | 2005 | 3 | |
| 3 | 1998 | 68 | |
| 4 | 1997 | 37 | |
| 5 | 1997 | 20 | |
| 6 | 1997 | 44 | |
| 7 | 1996 | 23 | |
| 8 | 1996 | 1 | |
| 9 | Differential TdT expression in acute leukemia by flow cytometry: a quantitative study. | 1995 | 13 |
| 10 | 1995 | 17 | |
| 11 | 1993 | 28 | |
| 12 | 1992 | 37 | |
| 13 | 1991 | 80 | |
| 14 | 1988 | 31 | |
| 15 | 1988 | 3 | |
| 16 | 1985 | 34 | |
| 17 | 1984 | 3 | |
| 18 | 1983 | 92 | |
| 19 | 1983 | 25 | |
| 20 | Morphological and cytochemical identification of lymphoid cells. | 1977 | 21 |
About D Catovsky
D Catovsky is a scholar working on Genetics, Immunology and Hematology, having authored 106 papers that have together received 5.1k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (41 papers), Chronic Lymphocytic Leukemia Research (31 papers), Acute Myeloid Leukemia Research (27 papers), Immune Cell Function and Interaction (13 papers), Chronic Myeloid Leukemia Treatments (12 papers), Acute Lymphoblastic Leukemia research (12 papers), Vector-Borne Animal Diseases (12 papers) and Lymphoma Diagnosis and Treatment (10 papers). The work is most often cited by research in Genetics (2.1k citations), Immunology (2.6k citations) and Hematology (1.4k citations). D Catovsky has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Estella Matutes, E Matutes, Ricardo Morilla, D. A. G. Galton, Martin J.S. Dyer, Claire Dearden, Nahla Farahat, John Swansbury, Georges Flandrin and MT Daniel. Their work appears in journals such as British Journal of Haematology, Journal of Clinical Pathology, Blood, International Journal of Cancer and Annals of Hematology.
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.