Ching‐Fen Yang
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Glioma Diagnosis and Treatment
Papers in
- Oncology 14
- Viral-associated cancers and disorders 6
- HER2/EGFR in Cancer Research 4
- Hematology 12
- Multiple Myeloma Research and Treatments 6
- Acute Myeloid Leukemia Research 4
- Autoimmune and Inflammatory Disorders Research 4
- Co-authors
- Chih‐Yi Hsu (11 shared papers)Hung Chiang (3 shared papers)Donald Ming‐Tak Ho (4 shared papers)Jyh‐Pyng Gau (14 shared papers)Liang‐Tsai Hsiao (13 shared papers)Qingyuan Wang (1 shared paper)T. M. Finch (1 shared paper)Thomas J. Török (1 shared paper)
- Journals
- Cancer Medicine (3 papers)European Journal Of Haematology (3 papers)Pathology (3 papers)British Journal of Haematology (2 papers)Histopathology (2 papers)
- Partner nations
- TaiwanUnited StatesBelarus
In The Last Decade
Ching‐Fen Yang
41 papers receiving 590 citations
Peers
Comparison fields: 5 of 67
- Hematology 145
- Genetics 115
- Neurology 113
- Pathology and Forensic Medicine 102
- Dermatology 48
Countries citing papers authored by Ching‐Fen Yang
This map shows the geographic impact of Ching‐Fen Yang'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 Ching‐Fen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Fen Yang more than expected).
Fields of papers citing papers by Ching‐Fen Yang
This network shows the impact of papers produced by Ching‐Fen Yang. 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 Ching‐Fen Yang. The network helps show where Ching‐Fen Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching‐Fen Yang, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 66 | |
| 2 | 1994 | 55 | |
| 3 | 2002 | 50 | |
| 4 | 2005 | 43 | |
| 5 | 2004 | 43 | |
| 6 | 2003 | 35 | |
| 7 | 2014 | 32 | |
| 8 | 2020 | 32 | |
| 9 | 2008 | 24 | |
| 10 | 2019 | 17 | |
| 11 | 2017 | 16 | |
| 12 | 2012 | 16 | |
| 13 | 2013 | 15 | |
| 14 | 2001 | 14 | |
| 15 | 2015 | 13 | |
| 16 | 2002 | 11 | |
| 17 | 2018 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2004 | 9 |
About Ching‐Fen Yang
Ching‐Fen Yang is a scholar working on Oncology, Hematology, Pathology and Forensic Medicine, Immunology and Molecular Biology, having authored 43 papers that have together received 608 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), Immune Cell Function and Interaction (7 papers), Viral-associated cancers and disorders (6 papers), Multiple Myeloma Research and Treatments (6 papers), Acute Myeloid Leukemia Research (4 papers), HER2/EGFR in Cancer Research (4 papers), Autoimmune and Inflammatory Disorders Research (4 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Hematology (145 citations), Genetics (115 citations), Neurology (113 citations), Pathology and Forensic Medicine (102 citations) and Dermatology (48 citations). Ching‐Fen Yang has collaborated with scholars based in Taiwan, United States and Belarus. Frequent co-authors include Chih‐Yi Hsu, Hung Chiang, Donald Ming‐Tak Ho, Jyh‐Pyng Gau, Liang‐Tsai Hsiao, Qingyuan Wang, T. M. Finch, Thomas J. Török, Larry J. Anderson and Chin‐Chen Pan. Their work appears in journals such as Cancer Medicine, European Journal Of Haematology, Pathology, British Journal of Haematology and Histopathology.
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.