Michael Boxer
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 22
- Myeloproliferative Neoplasms: Diagnosis and Treatment 9
- Hematology top 2%
- Platelet Disorders and Treatments 7
- Chronic Myeloid Leukemia Treatments 5
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- Lymphoma Diagnosis and Treatment 12
- Autoimmune Bullous Skin Diseases 5
- Physiology top 10%
- Cell Biology top 10%
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- Immunodeficiency and Autoimmune Disorders 7
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Gregory M. PastoresPramod K. MistryLeonard EllmanAngelina C. A. CarvalhoKatherine KacenaRuhua YangJeff P. SharmanKathryn S. Kolibaba
- Journals
- Blood (18 papers)Journal of Clinical Oncology (4 papers)American Journal of Hematology (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Michael Boxer
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 85
- Genetics 433
- Hematology 394
- Pathology and Forensic Medicine 314
- Physiology 341
- Cell Biology 198
Countries citing papers authored by Michael Boxer
This map shows the geographic impact of Michael Boxer'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 Michael Boxer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Boxer more than expected).
Fields of papers citing papers by Michael Boxer
This network shows the impact of papers produced by Michael Boxer. 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 Michael Boxer. The network helps show where Michael Boxer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Boxer, 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 | 2022 | 26 | |
| 2 | 2021 | 0 | |
| 3 | 2020 | 46 | |
| 4 | 2019 | 1 | |
| 5 | 2019 | 3 | |
| 6 | 2018 | 8 | |
| 7 | 2017 | 2 | |
| 8 | 2015 | 46 | |
| 9 | 2015 | 145 | |
| 10 | 2014 | 3 | |
| 11 | 2014 | 5 | |
| 12 | “Best-First” Or “Worst-First”: Which Is The Best Policy? | 2012 | 2 |
| 13 | 2012 | 1 | |
| 14 | 2009 | 118 | |
| 15 | 2006 | 21 | |
| 16 | 0.6 T Magnetic Resonance Imaging of the Orbit | 1985 | 10 |
| 17 | 1978 | 125 | |
| 18 | 1977 | 64 | |
| 19 | 1976 | 59 | |
| 20 | 1973 | 6 |
About Michael Boxer
Michael Boxer is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (22 papers), Lymphoma Diagnosis and Treatment (12 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), Platelet Disorders and Treatments (7 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Autoimmune Bullous Skin Diseases (5 papers) and Chronic Myeloid Leukemia Treatments (5 papers). The work is most often cited by research in Genetics (433 citations), Hematology (394 citations) and Pathology and Forensic Medicine (314 citations). Michael Boxer has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Gregory M. Pastores, Pramod K. Mistry, Leonard Ellman, Angelina C. A. Carvalho, Katherine Kacena, Ruhua Yang, Jeff P. Sharman, Kathryn S. Kolibaba, Gilberto Bultron and Swati Sathe. Their work appears in journals such as Blood, Journal of Clinical Oncology, American Journal of Hematology, Cancer and Journal of Inherited Metabolic Disease.
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.