Fen‐Yu Lee
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 13
- Acute Myeloid Leukemia Research 13
- Chronic Myeloid Leukemia Treatments 3
-
- RNA modifications and cancer 3
- RNA Research and Splicing 3
- Co-authors
- Hwei‐Fang Tien (20 shared papers)Yao‐Chang Chen (11 shared papers)Jih‐Luh Tang (11 shared papers)Wen‐Chien Chou (10 shared papers)Chien‐Yuan Chen (10 shared papers)Shang‐Ju Wu (9 shared papers)Ming Yao (9 shared papers)Woei Tsay (8 shared papers)
- Journals
- Blood (7 papers)American Journal of Hematology (3 papers)Annals of Hematology (1 paper)British Journal of Haematology (1 paper)Carcinogenesis (1 paper)
- Partner nations
- Taiwan
In The Last Decade
Fen‐Yu Lee
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 49
- Hematology 918
- Genetics 432
- Cancer Research 192
- Molecular Biology 578
- Pathology and Forensic Medicine 118
Countries citing papers authored by Fen‐Yu Lee
This map shows the geographic impact of Fen‐Yu Lee'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 Fen‐Yu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fen‐Yu Lee more than expected).
Fields of papers citing papers by Fen‐Yu Lee
This network shows the impact of papers produced by Fen‐Yu Lee. 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 Fen‐Yu Lee. The network helps show where Fen‐Yu Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Fen‐Yu Lee, 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 | 2009 | 240 | |
| 2 | 2010 | 163 | |
| 3 | 2010 | 153 | |
| 4 | 2010 | 111 | |
| 5 | 2012 | 109 | |
| 6 | 1995 | 85 | |
| 7 | 1997 | 55 | |
| 8 | 2013 | 48 | |
| 9 | 2009 | 33 | |
| 10 | 2002 | 28 | |
| 11 | 1988 | 27 | |
| 12 | 2014 | 27 | |
| 13 | 1990 | 17 | |
| 14 | 2009 | 14 | |
| 15 | 1993 | 13 | |
| 16 | 2013 | 13 | |
| 17 | 1995 | 12 | |
| 18 | 1989 | 12 | |
| 19 | 2007 | 4 | |
| 20 | 1989 | 2 |
About Fen‐Yu Lee
Fen‐Yu Lee is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Acute Lymphoblastic Leukemia research (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Hematology (918 citations), Genetics (432 citations), Cancer Research (192 citations), Molecular Biology (578 citations) and Pathology and Forensic Medicine (118 citations). Fen‐Yu Lee has collaborated with scholars based in Taiwan. Frequent co-authors include Hwei‐Fang Tien, Yao‐Chang Chen, Jih‐Luh Tang, Wen‐Chien Chou, Chien‐Yuan Chen, Shang‐Ju Wu, Ming Yao, Woei Tsay, Hsin‐An Hou and Chi‐Fei Huang. Their work appears in journals such as Blood, American Journal of Hematology, Annals of Hematology, British Journal of Haematology and Carcinogenesis.
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.