David Bosler
Impact in
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- Chronic Lymphocytic Leukemia Research
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
- Hematology 16
- Acute Myeloid Leukemia Research 13
- Chronic Myeloid Leukemia Treatments 5
- Hematopoietic Stem Cell Transplantation 2
- Genetics 11
- Myeloproliferative Neoplasms: Diagnosis and Treatment 8
- Co-authors
- Domnita Crisan (1 shared paper)Joan C. Mattson (1 shared paper)Zheng Jin Tu (5 shared papers)Marc D. Smith (2 shared papers)Brian P. Rubin (1 shared paper)Frank Esper (1 shared paper)Gary W. Procop (1 shared paper)Lara Jehi (1 shared paper)
- Journals
- American Journal of Clinical Pathology (4 papers)Blood (4 papers)Modern Pathology (2 papers)Applied immunohistochemistry & molecular morphology (2 papers)Journal of Molecular Diagnostics (2 papers)
- Partner nations
- United StatesItalySpain
In The Last Decade
David Bosler
26 papers receiving 257 citations
Peers
Comparison fields: 5 of 68
- Genetics 56
- Infectious Diseases 77
- Pathology and Forensic Medicine 74
- Hematology 44
- Internal Medicine 13
Countries citing papers authored by David Bosler
This map shows the geographic impact of David Bosler'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 Bosler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bosler more than expected).
Fields of papers citing papers by David Bosler
This network shows the impact of papers produced by David Bosler. 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 Bosler. The network helps show where David Bosler may publish in the future.
Co-authors
The 25 scholars most cited alongside David Bosler, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 88 | |
| 2 | 2012 | 47 | |
| 3 | 2006 | 27 | |
| 4 | 2008 | 27 | |
| 5 | 2007 | 21 | |
| 6 | 2008 | 9 | |
| 7 | 2007 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 5 | |
| 10 | 2018 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2018 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2009 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2024 | 1 |
About David Bosler
David Bosler is a scholar working on Hematology, Genetics, Molecular Biology, Pathology and Forensic Medicine and Oncology, having authored 30 papers that have together received 263 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Chronic Myeloid Leukemia Treatments (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Protein Degradation and Inhibitors (2 papers), Epigenetics and DNA Methylation (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and SARS-CoV-2 detection and testing (2 papers). The work is most often cited by research in Genetics (56 citations), Infectious Diseases (77 citations), Pathology and Forensic Medicine (74 citations), Hematology (44 citations) and Internal Medicine (13 citations). David Bosler has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Domnita Crisan, Joan C. Mattson, Zheng Jin Tu, Marc D. Smith, Brian P. Rubin, Frank Esper, Gary W. Procop, Lara Jehi, Jing Li and Yu‐Wei Cheng. Their work appears in journals such as American Journal of Clinical Pathology, Blood, Modern Pathology, Applied immunohistochemistry & molecular morphology and Journal of Molecular Diagnostics.
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.