Shih‐Chi Su
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Protease and Inhibitor Mechanisms
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- Circadian rhythm and melatonin
Papers in
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- Gut microbiota and health 10
- RNA modifications and cancer 7
- RNA Research and Splicing 6
- Epigenetics and DNA Methylation 3
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- Cancer-related molecular mechanisms research 9
- Protease and Inhibitor Mechanisms 9
- Co-authors
- Shun‐Fa Yang (46 shared papers)Chiao‐Wen Lin (27 shared papers)Kayla J. Bayless (5 shared papers)Lun‐Ching Chang (23 shared papers)Hyeongil Kwak (3 shared papers)Yi‐Hsien Hsieh (11 shared papers)Mu‐Kuan Chen (10 shared papers)Ming‐Ju Hsieh (8 shared papers)
- Journals
- Journal of Pineal Research (4 papers)Journal of Cancer (3 papers)Cancers (3 papers)Journal of Cellular and Molecular Medicine (3 papers)Environmental Toxicology (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Shih‐Chi Su
63 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 110
- Cancer Research 487
- Endocrine and Autonomic Systems 115
- Periodontics 74
- Molecular Biology 1.1k
- Immunology and Allergy 77
Countries citing papers authored by Shih‐Chi Su
This map shows the geographic impact of Shih‐Chi 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 Shih‐Chi Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih‐Chi Su more than expected).
Fields of papers citing papers by Shih‐Chi Su
This network shows the impact of papers produced by Shih‐Chi 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 Shih‐Chi Su. The network helps show where Shih‐Chi Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Shih‐Chi 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 126 | |
| 2 | 2020 | 107 | |
| 3 | 2020 | 101 | |
| 4 | 2016 | 97 | |
| 5 | 2020 | 96 | |
| 6 | 2009 | 95 | |
| 7 | 2010 | 93 | |
| 8 | 2018 | 69 | |
| 9 | 2012 | 67 | |
| 10 | 2021 | 58 | |
| 11 | 2020 | 55 | |
| 12 | 2018 | 51 | |
| 13 | 2008 | 47 | |
| 14 | 2006 | 45 | |
| 15 | 2010 | 45 | |
| 16 | 2018 | 41 | |
| 17 | 2017 | 38 | |
| 18 | 2020 | 36 | |
| 19 | 2009 | 35 | |
| 20 | 2015 | 35 |
About Shih‐Chi Su
Shih‐Chi Su is a scholar working on Molecular Biology, Cancer Research, Physiology, Oncology and Surgery, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gut microbiota and health (10 papers), Cancer-related molecular mechanisms research (9 papers), Protease and Inhibitor Mechanisms (9 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (6 papers), Peptidase Inhibition and Analysis (4 papers), Diet and metabolism studies (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (487 citations), Endocrine and Autonomic Systems (115 citations), Periodontics (74 citations), Molecular Biology (1.1k citations) and Immunology and Allergy (77 citations). Shih‐Chi Su has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shun‐Fa Yang, Chiao‐Wen Lin, Kayla J. Bayless, Lun‐Ching Chang, Hyeongil Kwak, Yi‐Hsien Hsieh, Mu‐Kuan Chen, Ming‐Ju Hsieh, Wei‐En Yang and Rüssel J. Reiter. Their work appears in journals such as Journal of Pineal Research, Journal of Cancer, Cancers, Journal of Cellular and Molecular Medicine and Environmental Toxicology.
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.