Chia‐Ming Yeh
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
-
- RNA modifications and cancer 4
- Epigenetics and DNA Methylation 3
-
- Cancer-related molecular mechanisms research 8
- Co-authors
- Shun‐Fa Yang (16 shared papers)Chiao‐Wen Lin (13 shared papers)G. W. Chang (2 shared papers)Chishih Chu (6 shared papers)Shih‐Chi Su (3 shared papers)Chun‐Yi Chuang (8 shared papers)Wei‐En Yang (5 shared papers)Ming‐Ju Hsieh (4 shared papers)
- Journals
- Oncotarget (4 papers)Poultry Science (2 papers)Journal of Cellular Physiology (2 papers)Journal of Clinical Microbiology (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- TaiwanUnited StatesFrance
In The Last Decade
Chia‐Ming Yeh
36 papers receiving 833 citations
Peers
Comparison fields: 5 of 110
- Molecular Medicine 78
- Endocrinology 70
- Cancer Research 157
- Food Science 167
- Endocrine and Autonomic Systems 47
Countries citing papers authored by Chia‐Ming Yeh
This map shows the geographic impact of Chia‐Ming Yeh'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 Chia‐Ming Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Ming Yeh more than expected).
Fields of papers citing papers by Chia‐Ming Yeh
This network shows the impact of papers produced by Chia‐Ming Yeh. 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 Chia‐Ming Yeh. The network helps show where Chia‐Ming Yeh may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia‐Ming Yeh, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 77 | |
| 2 | 2018 | 69 | |
| 3 | 2006 | 69 | |
| 4 | 2013 | 59 | |
| 5 | 2021 | 58 | |
| 6 | 2009 | 46 | |
| 7 | 2010 | 38 | |
| 8 | 2015 | 37 | |
| 9 | 2013 | 35 | |
| 10 | 2006 | 35 | |
| 11 | 2005 | 34 | |
| 12 | 2007 | 31 | |
| 13 | 2019 | 31 | |
| 14 | 2019 | 26 | |
| 15 | 2007 | 25 | |
| 16 | 2008 | 23 | |
| 17 | 2017 | 22 | |
| 18 | 2020 | 19 | |
| 19 | 2017 | 16 | |
| 20 | 2013 | 14 |
About Chia‐Ming Yeh
Chia‐Ming Yeh is a scholar working on Molecular Biology, Cancer Research, Oncology, Food Science and Electrical and Electronic Engineering, having authored 36 papers that have together received 860 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Salmonella and Campylobacter epidemiology (6 papers), RNA modifications and cancer (4 papers), Bacteriophages and microbial interactions (4 papers), Epigenetics and DNA Methylation (3 papers), Power Quality and Harmonics (2 papers), Circadian rhythm and melatonin (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Molecular Medicine (78 citations), Endocrinology (70 citations), Cancer Research (157 citations), Food Science (167 citations) and Endocrine and Autonomic Systems (47 citations). Chia‐Ming Yeh has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Shun‐Fa Yang, Chiao‐Wen Lin, G. W. Chang, Chishih Chu, Shih‐Chi Su, Chun‐Yi Chuang, Wei‐En Yang, Ming‐Ju Hsieh, Cheng‐Hsun Chiu and Jia‐Sin Yang. Their work appears in journals such as Oncotarget, Poultry Science, Journal of Cellular Physiology, Journal of Clinical Microbiology and International Journal of Molecular Sciences.
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.