Ting-Lan Chiu
Impact in
- Insect Science top 10%
- Insect and Pesticide Research
-
- Insect Resistance and Genetics
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
Papers in
-
- Protein Structure and Dynamics 4
- Bacillus and Francisella bacterial research 3
- Oncology 5
- Cancer Treatment and Pharmacology 3
- Co-authors
- Zhimou Wen (1 shared paper)Mary A. Schuler (1 shared paper)Sanjeewa G. Rupasinghe (1 shared paper)Richard A. Goldstein (3 shared papers)Elizabeth A. Amin (7 shared papers)Peter B. Bitterman (1 shared paper)Yan Jia (1 shared paper)Carston R. Wagner (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)Journal of Chemical Information and Modeling (2 papers)European Journal of Medicinal Chemistry (1 paper)SLAS DISCOVERY (1 paper)Proteins Structure Function and Bioinformatics (1 paper)
- Partner nations
- United States
In The Last Decade
Ting-Lan Chiu
12 papers receiving 318 citations
Peers
Comparison fields: 5 of 62
- Insect Science 62
- Molecular Biology 236
- Public Health, Environmental and Occupational Health 76
- Computational Theory and Mathematics 37
- Pharmacology 13
Countries citing papers authored by Ting-Lan Chiu
This map shows the geographic impact of Ting-Lan Chiu'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 Ting-Lan Chiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting-Lan Chiu more than expected).
Fields of papers citing papers by Ting-Lan Chiu
This network shows the impact of papers produced by Ting-Lan Chiu. 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 Ting-Lan Chiu. The network helps show where Ting-Lan Chiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting-Lan Chiu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 139 | |
| 2 | 2017 | 48 | |
| 3 | 2009 | 41 | |
| 4 | 1998 | 24 | |
| 5 | 2009 | 18 | |
| 6 | 2000 | 17 | |
| 7 | 2009 | 10 | |
| 8 | 2012 | 9 | |
| 9 | 2008 | 6 | |
| 10 | 1997 | 5 | |
| 11 | 2009 | 4 | |
| 12 | 2015 | 3 |
About Ting-Lan Chiu
Ting-Lan Chiu is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Organic Chemistry and Cell Biology, having authored 12 papers that have together received 324 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Cancer Treatment and Pharmacology (3 papers), Computational Drug Discovery Methods (3 papers), Bacillus and Francisella bacterial research (3 papers), Synthetic Organic Chemistry Methods (2 papers), Bacterial Genetics and Biotechnology (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Insect Science (62 citations), Molecular Biology (236 citations), Public Health, Environmental and Occupational Health (76 citations), Computational Theory and Mathematics (37 citations) and Pharmacology (13 citations). Ting-Lan Chiu has collaborated with scholars based in United States. Frequent co-authors include Zhimou Wen, Mary A. Schuler, Sanjeewa G. Rupasinghe, Richard A. Goldstein, Elizabeth A. Amin, Peter B. Bitterman, Yan Jia, Carston R. Wagner, Vitaly A. Polunovsky and Tory Schaaf. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Chemical Information and Modeling, European Journal of Medicinal Chemistry, SLAS DISCOVERY and Proteins Structure Function and Bioinformatics.
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.