Ching‐Ting Lin
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
- Escherichia coli research studies
Papers in
-
- Bacterial biofilms and quorum sensing 7
- DNA Repair Mechanisms 2
-
- Antibiotic Resistance in Bacteria 8
- Co-authors
- Chien-Chen Wu (9 shared papers)Hwei‐Ling Peng (7 shared papers)Tzyy‐Rong Jinn (5 shared papers)Yu‐Ching Chen (2 shared papers)Hsing‐Chun Kuo (1 shared paper)Erl‐Shyh Kao (1 shared paper)Jin‐Ming Hwang (1 shared paper)Tien‐Huang Lin (3 shared papers)
- Journals
- The Journal of Biochemistry (3 papers)PLoS ONE (3 papers)Microbiology (2 papers)Journal of Microbiology Immunology and Infection (2 papers)Biomedical Signal Processing and Control (2 papers)
- Partner nations
- TaiwanUnited StatesSouth Korea
In The Last Decade
Ching‐Ting Lin
39 papers receiving 786 citations
Peers
Comparison fields: 5 of 104
- Molecular Medicine 221
- Endocrinology 138
- Biochemistry 32
- Microbiology 32
- Genetics 133
Countries citing papers authored by Ching‐Ting Lin
This map shows the geographic impact of Ching‐Ting Lin'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 Ching‐Ting Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Ting Lin more than expected).
Fields of papers citing papers by Ching‐Ting Lin
This network shows the impact of papers produced by Ching‐Ting Lin. 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 Ching‐Ting Lin. The network helps show where Ching‐Ting Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching‐Ting Lin, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 64 | |
| 2 | 2013 | 57 | |
| 3 | 2012 | 50 | |
| 4 | 2013 | 50 | |
| 5 | 2015 | 47 | |
| 6 | 2001 | 38 | |
| 7 | 2016 | 36 | |
| 8 | 2015 | 35 | |
| 9 | 2019 | 35 | |
| 10 | 2001 | 34 | |
| 11 | 2006 | 34 | |
| 12 | 2007 | 33 | |
| 13 | 2014 | 32 | |
| 14 | 2005 | 29 | |
| 15 | 2019 | 25 | |
| 16 | 2011 | 24 | |
| 17 | 2021 | 20 | |
| 18 | 2013 | 19 | |
| 19 | 2016 | 16 | |
| 20 | 2009 | 15 |
About Ching‐Ting Lin
Ching‐Ting Lin is a scholar working on Molecular Biology, Molecular Medicine, Genetics, Materials Chemistry and Surgery, having authored 40 papers that have together received 792 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Bacterial biofilms and quorum sensing (7 papers), Bacterial Genetics and Biotechnology (7 papers), 2D Materials and Applications (3 papers), Enzyme Structure and Function (3 papers), Graphene research and applications (3 papers), DNA Repair Mechanisms (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Molecular Medicine (221 citations), Endocrinology (138 citations), Biochemistry (32 citations), Microbiology (32 citations) and Genetics (133 citations). Ching‐Ting Lin has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Chien-Chen Wu, Hwei‐Ling Peng, Tzyy‐Rong Jinn, Yu‐Ching Chen, Hsing‐Chun Kuo, Erl‐Shyh Kao, Jin‐Ming Hwang, Tien‐Huang Lin, Yeh Chen and Chun-Fa Huang. Their work appears in journals such as The Journal of Biochemistry, PLoS ONE, Microbiology, Journal of Microbiology Immunology and Infection and Biomedical Signal Processing and Control.
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.