Tin-Chun Chu
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Microbiology top 5%
- Reproductive tract infections research
Papers in
-
- Tea Polyphenols and Effects 9
- Co-authors
- Lee H. Lee (11 shared papers)Aline Pereira de Oliveira (2 shared papers)Sulie L. Chang (9 shared papers)Jessica Cottrell (8 shared papers)Stephen Hsu (7 shared papers)Sean R. Murray (4 shared papers)Douglas Dickinson (6 shared papers)Shrameeta Shinde (1 shared paper)
- Journals
- Acta Histochemica (2 papers)Scientific Reports (1 paper)Food and Chemical Toxicology (1 paper)Behavioural Brain Research (1 paper)BMC Microbiology (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Tin-Chun Chu
42 papers receiving 784 citations
Peers
Comparison fields: 5 of 107
- Biological Psychiatry 45
- Microbiology 72
- Applied Microbiology and Biotechnology 23
- Periodontics 50
- Biochemistry 55
Countries citing papers authored by Tin-Chun Chu
This map shows the geographic impact of Tin-Chun Chu'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 Tin-Chun Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tin-Chun Chu more than expected).
Fields of papers citing papers by Tin-Chun Chu
This network shows the impact of papers produced by Tin-Chun Chu. 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 Tin-Chun Chu. The network helps show where Tin-Chun Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tin-Chun Chu, 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 | Microbiology Laboratory Manual | 2008 | 129 |
| 2 | 2017 | 74 | |
| 3 | 2019 | 66 | |
| 4 | 2015 | 64 | |
| 5 | 2012 | 62 | |
| 6 | 2008 | 50 | |
| 7 | 2021 | 40 | |
| 8 | 2018 | 35 | |
| 9 | 2020 | 29 | |
| 10 | 2006 | 24 | |
| 11 | 2010 | 23 | |
| 12 | 2013 | 19 | |
| 13 | 2017 | 15 | |
| 14 | 2022 | 15 | |
| 15 | 2012 | 14 | |
| 16 | 2020 | 14 | |
| 17 | 2017 | 13 | |
| 18 | 2019 | 11 | |
| 19 | 2012 | 11 | |
| 20 | 2013 | 10 |
About Tin-Chun Chu
Tin-Chun Chu is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Epidemiology, Physiology and Ecology, having authored 43 papers that have together received 812 indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (9 papers), Microbial Community Ecology and Physiology (5 papers), Herpesvirus Infections and Treatments (4 papers), Salivary Gland Disorders and Functions (4 papers), Tannin, Tannase and Anticancer Activities (3 papers), Phytochemicals and Antioxidant Activities (3 papers), Aquatic Ecosystems and Phytoplankton Dynamics (3 papers) and Marine and coastal ecosystems (3 papers). The work is most often cited by research in Biological Psychiatry (45 citations), Microbiology (72 citations), Applied Microbiology and Biotechnology (23 citations), Periodontics (50 citations) and Biochemistry (55 citations). Tin-Chun Chu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Lee H. Lee, Aline Pereira de Oliveira, Sulie L. Chang, Jessica Cottrell, Stephen Hsu, Sean R. Murray, Douglas Dickinson, Shrameeta Shinde, Chih‐Yu Lo and Yiping Zhan. Their work appears in journals such as Acta Histochemica, Scientific Reports, Food and Chemical Toxicology, Behavioural Brain Research and BMC Microbiology.
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.