Daniel F. Boyer
Impact in
- Surgery top 5%
- Pancreatic function and diabetes
-
- Diabetes Management and Research
Papers in
-
- Lymphoma Diagnosis and Treatment 10
- Surgery 6
- Pancreatic function and diabetes 4
- Co-authors
- Christopher V.E. Wright (4 shared papers)Mark A. Magnuson (2 shared papers)Fabrizio Thorel (1 shared paper)Pedro L. Herrera (1 shared paper)Xiaobo Xu (1 shared paper)Eric D. Bankaitis (1 shared paper)Mark Van de Casteele (1 shared paper)Fong Cheng Pan (1 shared paper)
- Journals
- Blood (4 papers)Archives of Pathology & Laboratory Medicine (3 papers)Journal of Cutaneous Pathology (2 papers)The American Journal of Surgical Pathology (2 papers)Genes & Development (2 papers)
- Partner nations
- United StatesSwitzerlandSouth Korea
In The Last Decade
Daniel F. Boyer
18 papers receiving 748 citations
Peers
Comparison fields: 5 of 55
- Surgery 487
- Endocrinology, Diabetes and Metabolism 185
- Genetics 276
- Pathology and Forensic Medicine 105
- Oncology 126
Countries citing papers authored by Daniel F. Boyer
This map shows the geographic impact of Daniel F. Boyer'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 F. Boyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel F. Boyer more than expected).
Fields of papers citing papers by Daniel F. Boyer
This network shows the impact of papers produced by Daniel F. Boyer. 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 F. Boyer. The network helps show where Daniel F. Boyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel F. Boyer, 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 | 2013 | 230 | |
| 2 | 2011 | 158 | |
| 3 | 2006 | 136 | |
| 4 | 2017 | 69 | |
| 5 | 2017 | 39 | |
| 6 | 2016 | 35 | |
| 7 | 2006 | 29 | |
| 8 | 2014 | 19 | |
| 9 | 2016 | 12 | |
| 10 | 2021 | 7 | |
| 11 | 2013 | 6 | |
| 12 | 2018 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2017 | 3 | |
| 16 | 2019 | 2 | |
| 17 | 2020 | 1 | |
| 18 | 2014 | 1 | |
| 19 | 2024 | 0 |
About Daniel F. Boyer
Daniel F. Boyer is a scholar working on Pathology and Forensic Medicine, Surgery, Oncology, Hematology and Molecular Biology, having authored 19 papers that have together received 757 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), Viral-associated cancers and disorders (5 papers), Pancreatic function and diabetes (4 papers), Acute Myeloid Leukemia Research (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Surgery (487 citations), Endocrinology, Diabetes and Metabolism (185 citations), Genetics (276 citations), Pathology and Forensic Medicine (105 citations) and Oncology (126 citations). Daniel F. Boyer has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include Christopher V.E. Wright, Mark A. Magnuson, Fabrizio Thorel, Pedro L. Herrera, Xiaobo Xu, Eric D. Bankaitis, Mark Van de Casteele, Fong Cheng Pan, Harry Heimberg and Nathan J. Charles. Their work appears in journals such as Blood, Archives of Pathology & Laboratory Medicine, Journal of Cutaneous Pathology, The American Journal of Surgical Pathology and Genes & Development.
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.