David S. Snyder
Impact in
- Hematology top 0.1%
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 109
- Chronic Myeloid Leukemia Treatments 56
- Hematopoietic Stem Cell Transplantation 49
- Acute Myeloid Leukemia Research 45
- Genetics 43
- Chronic Lymphocytic Leukemia Research 20
- Myeloproliferative Neoplasms: Diagnosis and Treatment 19
- Co-authors
- Emil R. UnanueStephen J. FormanRavi BhatiaD I BellerMarilyn L. SlovakAnthony S. SteinMargaret O’DonnellDaniel A. Arber
- Journals
- Blood (39 papers)Biology of Blood and Marrow Transplantation (25 papers)Journal of Neurochemistry (5 papers)Journal of Clinical Oncology (5 papers)American Journal of Hematology (5 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
David S. Snyder
156 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Hematology 3.5k
- Genetics 1.6k
- Transplantation 246
- Rheumatology 871
- Immunology 1.2k
Countries citing papers authored by David S. Snyder
This map shows the geographic impact of David S. Snyder'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 David S. Snyder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Snyder more than expected).
Fields of papers citing papers by David S. Snyder
This network shows the impact of papers produced by David S. Snyder. 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 David S. Snyder. The network helps show where David S. Snyder may publish in the future.
Co-authors
The 25 scholars most cited alongside David S. Snyder, 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 | 2021 | 32 | |
| 2 | 2020 | 27 | |
| 3 | 2020 | 9 | |
| 4 | 2017 | 2 | |
| 5 | 2017 | 7 | |
| 6 | 2016 | 31 | |
| 7 | 2015 | 57 | |
| 8 | 2014 | 10 | |
| 9 | 2012 | 20 | |
| 10 | 2011 | 65 | |
| 11 | 2009 | 175 | |
| 12 | 2007 | 374 | |
| 13 | 2005 | 43 | |
| 14 | 2004 | 7 | |
| 15 | 2004 | 26 | |
| 16 | 2000 | 30 | |
| 17 | 1999 | 17 | |
| 18 | Studying protein-DNA binding by dynamic light scattering | 1996 | 1 |
| 19 | 1993 | 211 | |
| 20 | 1993 | 34 |
About David S. Snyder
David S. Snyder is a scholar working on Hematology, Genetics, Transplantation, Rheumatology and Public Health, Environmental and Occupational Health, having authored 159 papers that have together received 6.6k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (56 papers), Hematopoietic Stem Cell Transplantation (49 papers), Acute Myeloid Leukemia Research (45 papers), Acute Lymphoblastic Leukemia research (33 papers), Eosinophilic Disorders and Syndromes (23 papers), Chronic Lymphocytic Leukemia Research (20 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (19 papers) and Polyomavirus and related diseases (8 papers). The work is most often cited by research in Hematology (3.5k citations), Genetics (1.6k citations), Transplantation (246 citations), Rheumatology (871 citations) and Immunology (1.2k citations). David S. Snyder has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Emil R. Unanue, Stephen J. Forman, Ravi Bhatia, D I Beller, Marilyn L. Slovak, Anthony S. Stein, Margaret O’Donnell, Daniel A. Arber, Su Chu and Auayporn Nademanee. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Journal of Neurochemistry, Journal of Clinical Oncology 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.