Ching‐Fen Yang
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 12
- Multiple Myeloma Research and Treatments 5
- Autoimmune and Inflammatory Disorders Research 4
- Oncology 11
- Viral-associated cancers and disorders 5
- HER2/EGFR in Cancer 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)Larry J. Anderson (1 shared paper)Thomas J. Török (1 shared paper)T. M. Finch (1 shared paper)
- Journals
- European Journal Of Haematology (3 papers)Cancer Medicine (3 papers)Pathology (3 papers)Hematological Oncology (2 papers)British Journal of Haematology (2 papers)
- Partner nations
- TaiwanUnited StatesBelarus
In The Last Decade
Ching‐Fen Yang
42 papers receiving 615 citations
Peers
Comparison fields: 5 of 62
- Hematology 140
- Genetics 101
- Neurology 116
- Infectious Diseases 92
- Dermatology 42
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 | 79 | |
| 2 | 1994 | 59 | |
| 3 | 2002 | 52 | |
| 4 | 2004 | 46 | |
| 5 | 2005 | 43 | |
| 6 | 2020 | 36 | |
| 7 | 2003 | 35 | |
| 8 | 2014 | 35 | |
| 9 | 2008 | 25 | |
| 10 | 2019 | 18 | |
| 11 | 2017 | 17 | |
| 12 | 2012 | 16 | |
| 13 | 2013 | 15 | |
| 14 | 2001 | 14 | |
| 15 | 2015 | 13 | |
| 16 | 2002 | 13 | |
| 17 | 2022 | 10 | |
| 18 | 2018 | 10 | |
| 19 | 2016 | 9 | |
| 20 | 2004 | 9 |
About Ching‐Fen Yang
Ching‐Fen Yang is a scholar working on Hematology, Oncology, Immunology, Pathology and Forensic Medicine and Epidemiology, having authored 43 papers that have together received 649 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Viral-associated cancers and disorders (5 papers), Immune Cell Function and Interaction (5 papers), Multiple Myeloma Research and Treatments (5 papers), Parvovirus B19 Infection Studies (4 papers), Autoimmune and Inflammatory Disorders Research (4 papers), CNS Lymphoma Diagnosis and Treatment (4 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Hematology (140 citations), Genetics (101 citations), Neurology (116 citations), Infectious Diseases (92 citations) and Dermatology (42 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, Larry J. Anderson, Thomas J. Török, T. M. Finch, Qingyuan Wang and G. William Gary. Their work appears in journals such as European Journal Of Haematology, Cancer Medicine, Pathology, Hematological Oncology 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.