Chien‐Feng Chen
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Blood groups and transfusion
-
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Platelet Disorders and Treatments 5
- Blood groups and transfusion 4
- Genetics 2
- Chronic Lymphocytic Leukemia Research 1
- Myeloproliferative Neoplasms: Diagnosis and Treatment 1
- Co-authors
- Janet L. Nichol (5 shared papers)Martin R. Schipperus (3 shared papers)Marie Thérèse Caulier (2 shared papers)Adrian C. Newland (2 shared papers)M. C. Kappers‐Klunne (2 shared papers)François Lefrère (2 shared papers)Jaap Jan Zwaginga (1 shared paper)P. Duncombe (1 shared paper)
- Journals
- Blood (4 papers)British Journal of Haematology (1 paper)Journal of Dental Sciences (1 paper)Clinical Pharmacology in Drug Development (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Chien‐Feng Chen
7 papers receiving 187 citations
Peers
Comparison fields: 5 of 37
- Hematology 160
- Genetics 33
- Pathology and Forensic Medicine 51
- Nephrology 18
- Pharmacology 25
Countries citing papers authored by Chien‐Feng Chen
This map shows the geographic impact of Chien‐Feng 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 Chien‐Feng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Feng Chen more than expected).
Fields of papers citing papers by Chien‐Feng Chen
This network shows the impact of papers produced by Chien‐Feng 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 Chien‐Feng Chen. The network helps show where Chien‐Feng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chien‐Feng 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
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 115 | |
| 2 | 2013 | 29 | |
| 3 | 2005 | 18 | |
| 4 | 2004 | 15 | |
| 5 | 2004 | 10 | |
| 6 | 2005 | 6 | |
| 7 | 2017 | 2 |
About Chien‐Feng Chen
Chien‐Feng Chen is a scholar working on Hematology, Genetics, Immunology, Surgery and Pharmacology, having authored 7 papers that have together received 195 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (5 papers), Blood groups and transfusion (4 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Autoimmune Bullous Skin Diseases (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper) and Orthodontics and Dentofacial Orthopedics (1 paper). The work is most often cited by research in Hematology (160 citations), Genetics (33 citations), Pathology and Forensic Medicine (51 citations), Nephrology (18 citations) and Pharmacology (25 citations). Chien‐Feng Chen has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Janet L. Nichol, Martin R. Schipperus, Marie Thérèse Caulier, Adrian C. Newland, M. C. Kappers‐Klunne, François Lefrère, Jaap Jan Zwaginga, P. Duncombe, Colin Stott and Reggie Kelly. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Dental Sciences and Clinical Pharmacology in Drug 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.