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
-
- Lymphoma Diagnosis and Treatment 51
- Genetics 39
- Chronic Lymphocytic Leukemia Research 39
- Co-authors
- Lisa M. Rimsza (19 shared papers)Thomas P. Miller (22 shared papers)Michael LeBlanc (16 shared papers)Richard I. Fisher (17 shared papers)Joseph M. Unger (6 shared papers)Jonathan W. Friedberg (15 shared papers)Catherine Spier (8 shared papers)Soham D. Puvvada (15 shared papers)
- Journals
- Blood (35 papers)Journal of Clinical Oncology (16 papers)Hematological Oncology (4 papers)Haematologica (3 papers)American Journal of Hematology (2 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Daniel O. Persky
105 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 106
- Pathology and Forensic Medicine 1.2k
- Genetics 575
- Oncology 1.0k
- Hematology 278
- Immunology 525
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-authors
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
Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 180 | |
| 2 | 2013 | 163 | |
| 3 | 2018 | 159 | |
| 4 | 2002 | 144 | |
| 5 | 2008 | 108 | |
| 6 | 2019 | 84 | |
| 7 | 2015 | 82 | |
| 8 | 2003 | 81 | |
| 9 | 2004 | 81 | |
| 10 | 2010 | 79 | |
| 11 | 2015 | 78 | |
| 12 | 2009 | 76 | |
| 13 | 2017 | 75 | |
| 14 | 2016 | 72 | |
| 15 | 2020 | 71 | |
| 16 | 2013 | 67 | |
| 17 | 2012 | 62 | |
| 18 | 2018 | 53 | |
| 19 | 2009 | 53 | |
| 20 | 2012 | 51 |
About Daniel O. Persky
Daniel O. Persky is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Molecular Biology and Immunology, having authored 110 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (51 papers), Chronic Lymphocytic Leukemia Research (39 papers), CAR-T cell therapy research (13 papers), Microtubule and mitosis dynamics (12 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Cancer-related Molecular Pathways (6 papers), Viral-associated cancers and disorders (6 papers) and Histone Deacetylase Inhibitors Research (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.2k citations), Genetics (575 citations), Oncology (1.0k citations), Hematology (278 citations) and Immunology (525 citations). Daniel O. Persky has collaborated with scholars based in United States, Australia and Canada. 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 American Journal 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.