Dong Chen
Impact in
- Hematology top 1%
- Platelet Disorders and Treatments
- Acute Myeloid Leukemia Research
- Genetics top 1%
Papers in
- Hematology 93
- Acute Myeloid Leukemia Research 39
- Platelet Disorders and Treatments 37
- Blood groups and transfusion 17
- Co-authors
- Sidney W. Whiteheart (10 shared papers)Paula P. Lemons (5 shared papers)Devanand Sarkar (6 shared papers)Rachel Gredler (6 shared papers)Paul B. Fisher (6 shared papers)Audrey M. Bernstein (3 shared papers)Prasanna K. Santhekadur (5 shared papers)Martha U. Gillette (3 shared papers)
- Journals
- Blood (36 papers)Seminars in Thrombosis and Hemostasis (10 papers)American Journal of Clinical Pathology (9 papers)Medicine (8 papers)American Journal of Hematology (7 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dong Chen
493 papers receiving 9.5k citations
Peers
Comparison fields: 5 of 185
- Hematology 1.1k
- Genetics 719
- Pathology and Forensic Medicine 1.1k
- Immunology 1.1k
- Endocrine and Autonomic Systems 337
Countries citing papers authored by Dong Chen
This map shows the geographic impact of Dong 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 Dong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Chen more than expected).
Fields of papers citing papers by Dong Chen
This network shows the impact of papers produced by Dong 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 Dong Chen. The network helps show where Dong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong 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 528 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 289 | |
| 2 | 2011 | 271 | |
| 3 | 2010 | 264 | |
| 4 | 2009 | 235 | |
| 5 | 2020 | 209 | |
| 6 | 2014 | 189 | |
| 7 | 1998 | 184 | |
| 8 | 2008 | 163 | |
| 9 | 2013 | 163 | |
| 10 | 2011 | 159 | |
| 11 | 2008 | 153 | |
| 12 | 1999 | 137 | |
| 13 | 2000 | 132 | |
| 14 | 2014 | 121 | |
| 15 | 2012 | 121 | |
| 16 | 2011 | 113 | |
| 17 | 2018 | 110 | |
| 18 | 1997 | 106 | |
| 19 | 2010 | 105 | |
| 20 | 2009 | 105 |
About Dong Chen
Dong Chen is a scholar working on Molecular Biology, Hematology, Surgery, Oncology and Immunology, having authored 528 papers that have together received 9.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (39 papers), Platelet Disorders and Treatments (37 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (22 papers), Blood groups and transfusion (17 papers), Eosinophilic Disorders and Syndromes (17 papers), Chronic Lymphocytic Leukemia Research (15 papers), Lymphoma Diagnosis and Treatment (15 papers) and Mast cells and histamine (15 papers). The work is most often cited by research in Hematology (1.1k citations), Genetics (719 citations), Pathology and Forensic Medicine (1.1k citations), Immunology (1.1k citations) and Endocrine and Autonomic Systems (337 citations). Dong Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Sidney W. Whiteheart, Paula P. Lemons, Devanand Sarkar, Rachel Gredler, Paul B. Fisher, Audrey M. Bernstein, Prasanna K. Santhekadur, Martha U. Gillette, Curtis A. Hanson and Jian Ding. Their work appears in journals such as Blood, Seminars in Thrombosis and Hemostasis, American Journal of Clinical Pathology, Medicine 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.