Chen‐Ming Su
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Rheumatology top 2%
- Osteoarthritis Treatment and Mechanisms
- Rheumatoid Arthritis Research and Therapies
Papers in
-
- Angiogenesis and VEGF in Cancer 7
- Bone Metabolism and Diseases 7
- Connective Tissue Growth Factor Research 6
- Glycosylation and Glycoproteins Research 5
- Oncology 20
- Cytokine Signaling Pathways and Interactions 5
- Co-authors
- Chih‐Hsin Tang (61 shared papers)Chun‐Hao Tsai (19 shared papers)Shan‐Chi Liu (7 shared papers)Chin‐Jung Hsu (10 shared papers)Chien‐Chung Huang (12 shared papers)Shih‐Wei Wang (6 shared papers)Chun‐Yin Huang (6 shared papers)Iona MacDonald (2 shared papers)
- Journals
- International Journal of Medical Sciences (11 papers)Medicine (6 papers)Scientific Reports (5 papers)Biochemical Pharmacology (3 papers)BioMed Research International (3 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Chen‐Ming Su
62 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 98
- Cancer Research 337
- Rheumatology 328
- Immunology and Allergy 93
- Oncology 372
- Endocrine and Autonomic Systems 93
Countries citing papers authored by Chen‐Ming Su
This map shows the geographic impact of Chen‐Ming Su'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 Chen‐Ming Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen‐Ming Su more than expected).
Fields of papers citing papers by Chen‐Ming Su
This network shows the impact of papers produced by Chen‐Ming Su. 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 Chen‐Ming Su. The network helps show where Chen‐Ming Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen‐Ming Su, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 168 | |
| 2 | 2019 | 136 | |
| 3 | 2012 | 104 | |
| 4 | 2016 | 70 | |
| 5 | 2015 | 63 | |
| 6 | 2019 | 63 | |
| 7 | 2018 | 63 | |
| 8 | 2018 | 62 | |
| 9 | 2016 | 51 | |
| 10 | 2019 | 44 | |
| 11 | 2022 | 44 | |
| 12 | 2017 | 43 | |
| 13 | 2009 | 43 | |
| 14 | 2015 | 41 | |
| 15 | 2017 | 41 | |
| 16 | 2016 | 40 | |
| 17 | 2015 | 38 | |
| 18 | 2017 | 35 | |
| 19 | 2012 | 34 | |
| 20 | 2018 | 34 |
About Chen‐Ming Su
Chen‐Ming Su is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Rheumatology, having authored 64 papers that have together received 1.9k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (10 papers), Angiogenesis and VEGF in Cancer (7 papers), Bone Metabolism and Diseases (7 papers), Cell Adhesion Molecules Research (7 papers), Connective Tissue Growth Factor Research (6 papers), Glycosylation and Glycoproteins Research (5 papers), Rheumatoid Arthritis Research and Therapies (5 papers) and Cytokine Signaling Pathways and Interactions (5 papers). The work is most often cited by research in Cancer Research (337 citations), Rheumatology (328 citations), Immunology and Allergy (93 citations), Oncology (372 citations) and Endocrine and Autonomic Systems (93 citations). Chen‐Ming Su has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chih‐Hsin Tang, Chun‐Hao Tsai, Shan‐Chi Liu, Chin‐Jung Hsu, Chien‐Chung Huang, Shih‐Wei Wang, Chun‐Yin Huang, Iona MacDonald, Yi‐Chin Fong and Yuhan Wang. Their work appears in journals such as International Journal of Medical Sciences, Medicine, Scientific Reports, Biochemical Pharmacology and BioMed Research International.
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.