Daniel O. Persky
Impact in
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
- Genetics 45
- Chronic Lymphocytic Leukemia Research 45
-
- Lymphoma Diagnosis and Treatment 57
- Co-authors
- Lisa M. RimszaThomas P. MillerMichael LeBlancRichard I. FisherJoseph M. UngerJonathan W. FriedbergCatherine SpierSoham D. Puvvada
- Journals
- Blood (35 papers)Journal of Clinical Oncology (16 papers)Hematological Oncology (4 papers)Haematologica (3 papers)Cancer (2 papers)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Daniel O. Persky
103 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 108
- Pathology and Forensic Medicine 1.3k
- Genetics 666
- Oncology 1.2k
- Hematology 326
- Immunology 586
Countries citing papers authored by Daniel O. Persky
This map shows the geographic impact of Daniel O. Persky'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 O. Persky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel O. Persky more than expected).
Fields of papers citing papers by Daniel O. Persky
This network shows the impact of papers produced by Daniel O. Persky. 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 O. Persky. The network helps show where Daniel O. Persky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel O. Persky, 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 | 2024 | 4 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 1 | |
| 5 | 2022 | 0 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 3 | |
| 8 | 2020 | 64 | |
| 9 | 2019 | 29 | |
| 10 | 2019 | 37 | |
| 11 | 2018 | 14 | |
| 12 | 2017 | 1 | |
| 13 | 2017 | 6 | |
| 14 | 2013 | 161 | |
| 15 | 2012 | 41 | |
| 16 | 2011 | 45 | |
| 17 | 2009 | 15 | |
| 18 | 2008 | 108 | |
| 19 | 2004 | 81 | |
| 20 | 2002 | 143 |
About Daniel O. Persky
Daniel O. Persky is a scholar working on Genetics, Pathology and Forensic Medicine, Oncology, Immunology and Hematology, having authored 110 papers that have together received 2.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (57 papers), Chronic Lymphocytic Leukemia Research (45 papers), CAR-T cell therapy research (14 papers), Microtubule and mitosis dynamics (12 papers), Viral-associated cancers and disorders (12 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), CNS Lymphoma Diagnosis and Treatment (7 papers) and Cancer-related Molecular Pathways (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.3k citations), Genetics (666 citations), Oncology (1.2k citations), Hematology (326 citations) and Immunology (586 citations). Daniel O. Persky has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Lisa M. Rimsza, Thomas P. Miller, Michael LeBlanc, Richard I. Fisher, Joseph M. Unger, Jonathan W. Friedberg, Catherine Spier, Soham D. Puvvada, Faiz Anwer and Daruka Mahadevan. Their work appears in journals such as Blood, Journal of Clinical Oncology, Hematological Oncology, Haematologica 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.