Feng‐Ming Tien
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 18
- Acute Myeloid Leukemia Research 16
- Genetics 14
- Myeloproliferative Neoplasms: Diagnosis and Treatment 13
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Hwei‐Fang Tien (18 shared papers)Jih‐Luh Tang (14 shared papers)Ming Yao (13 shared papers)Wen‐Chien Chou (16 shared papers)Cheng‐Hong Tsai (17 shared papers)Chien‐Yuan Chen (6 shared papers)Hsin‐An Hou (16 shared papers)Wang‐Huei Sheng (4 shared papers)
- Journals
- Blood Cancer Journal (4 papers)Nutrients (2 papers)Annals of Hematology (2 papers)American Journal of Hematology (2 papers)Hematological Oncology (2 papers)
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Feng‐Ming Tien
23 papers receiving 347 citations
Peers
Comparison fields: 5 of 48
- Hematology 184
- Genetics 81
- Clinical Biochemistry 25
- Molecular Medicine 16
- Oncology 80
Countries citing papers authored by Feng‐Ming Tien
This map shows the geographic impact of Feng‐Ming Tien'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 Feng‐Ming Tien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng‐Ming Tien more than expected).
Fields of papers citing papers by Feng‐Ming Tien
This network shows the impact of papers produced by Feng‐Ming Tien. 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 Feng‐Ming Tien. The network helps show where Feng‐Ming Tien may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng‐Ming Tien, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2017 | 39 | |
| 3 | 2021 | 38 | |
| 4 | 2018 | 30 | |
| 5 | 2023 | 25 | |
| 6 | 2018 | 23 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 17 | |
| 9 | 2019 | 16 | |
| 10 | 2018 | 16 | |
| 11 | 2021 | 15 | |
| 12 | 2023 | 12 | |
| 13 | 2021 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2021 | 4 | |
| 18 | 2019 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 2 |
About Feng‐Ming Tien
Feng‐Ming Tien is a scholar working on Hematology, Genetics, Molecular Biology, Oncology and Pathology and Forensic Medicine, having authored 27 papers that have together received 351 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (16 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers), Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Hematological disorders and diagnostics (2 papers), Epigenetics and DNA Methylation (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Hematology (184 citations), Genetics (81 citations), Clinical Biochemistry (25 citations), Molecular Medicine (16 citations) and Oncology (80 citations). Feng‐Ming Tien has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Hwei‐Fang Tien, Jih‐Luh Tang, Ming Yao, Wen‐Chien Chou, Cheng‐Hong Tsai, Chien‐Yuan Chen, Hsin‐An Hou, Wang‐Huei Sheng, Chien‐Chin Lin and Shang‐Yi Huang. Their work appears in journals such as Blood Cancer Journal, Nutrients, Annals of Hematology, American Journal of Hematology and Hematological Oncology.
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.