Michael G. Chen
Impact in
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Hematology top 10%
Papers in
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- Hematopoietic Stem Cell Transplantation 6
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- Lymphoma Diagnosis and Treatment 7
- Co-authors
- Qiang Ma (4 shared papers)Xiaoqing He (4 shared papers)Gary X. Lin (3 shared papers)Ayalew Tefferi (4 shared papers)Michelle A. Elliott (1 shared paper)Murray N. Silverstein (1 shared paper)Leonard R. Prosnitz (1 shared paper)Diana Fischer (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (4 papers)Mayo Clinic Proceedings (2 papers)Acta Haematologica (2 papers)Cancer (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Michael G. Chen
24 papers receiving 898 citations
Peers
Comparison fields: 5 of 88
- Genetics 159
- Hematology 146
- Pathology and Forensic Medicine 235
- Health, Toxicology and Mutagenesis 129
- Neurology 109
Countries citing papers authored by Michael G. Chen
This map shows the geographic impact of Michael G. Chen'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 G. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G. Chen more than expected).
Fields of papers citing papers by Michael G. Chen
This network shows the impact of papers produced by Michael G. Chen. 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 G. Chen. The network helps show where Michael G. Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael G. Chen, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 144 | |
| 2 | 2008 | 127 | |
| 3 | 2002 | 113 | |
| 4 | 1979 | 113 | |
| 5 | 1998 | 111 | |
| 6 | 2007 | 100 | |
| 7 | 1994 | 36 | |
| 8 | 1997 | 33 | |
| 9 | 1992 | 29 | |
| 10 | 1996 | 29 | |
| 11 | 1984 | 16 | |
| 12 | 1995 | 15 | |
| 13 | 1992 | 15 | |
| 14 | 2002 | 13 | |
| 15 | 1995 | 12 | |
| 16 | 1984 | 6 | |
| 17 | 1994 | 4 | |
| 18 | 1983 | 3 | |
| 19 | 1981 | 3 | |
| 20 | 1985 | 3 |
About Michael G. Chen
Michael G. Chen is a scholar working on Hematology, Pathology and Forensic Medicine, Oncology, Molecular Biology and Surgery, having authored 25 papers that have together received 930 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Viral-associated cancers and disorders (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Chromium effects and bioremediation (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Genetics (159 citations), Hematology (146 citations), Pathology and Forensic Medicine (235 citations), Health, Toxicology and Mutagenesis (129 citations) and Neurology (109 citations). Michael G. Chen has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Qiang Ma, Xiaoqing He, Gary X. Lin, Ayalew Tefferi, Michelle A. Elliott, Murray N. Silverstein, Leonard R. Prosnitz, Diana Fischer, Thomas M. Habermann and David J. Inwards. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Mayo Clinic Proceedings, Acta Haematologica, Cancer and British Journal of Haematology.
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.