K.‐L. Ting
Impact in
-
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
- Machine Learning in Bioinformatics
Papers in
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- Protein Structure and Dynamics 5
- DNA and Nucleic Acid Chemistry 4
- RNA and protein synthesis mechanisms 3
- Machine Learning in Bioinformatics 2
-
- Advanced Theoretical and Applied Studies in Material Sciences and Geometry 2
- Co-authors
- Robert L. Jernigan (9 shared papers)J. Garnier (2 shared papers)Andrzej Kloczkowski (2 shared papers)Arieh Ben‐Naim (3 shared papers)Akinori Sarai (2 shared papers)A. H. Soni (3 shared papers)Ruth Nussinov (1 shared paper)G. Raghunathan (3 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (4 papers)Biopolymers (3 papers)Polymer (1 paper)Materials Science and Engineering A (1 paper)Genomics (1 paper)
- Partner nations
- United StatesIsraelTaiwan
In The Last Decade
K.‐L. Ting
18 papers receiving 321 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 236
- Filtration and Separation 6
- Physical and Theoretical Chemistry 19
- Computational Theory and Mathematics 20
- Spectroscopy 20
Countries citing papers authored by K.‐L. Ting
This map shows the geographic impact of K.‐L. Ting'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 K.‐L. Ting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.‐L. Ting more than expected).
Fields of papers citing papers by K.‐L. Ting
This network shows the impact of papers produced by K.‐L. Ting. 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 K.‐L. Ting. The network helps show where K.‐L. Ting may publish in the future.
Co-authors
The 24 scholars most cited alongside K.‐L. Ting, 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 | 2002 | 109 | |
| 2 | 1986 | 37 | |
| 3 | 1989 | 30 | |
| 4 | 1990 | 27 | |
| 5 | 2002 | 19 | |
| 6 | 1994 | 15 | |
| 7 | 2008 | 14 | |
| 8 | 1989 | 13 | |
| 9 | 1979 | 12 | |
| 10 | 1992 | 11 | |
| 11 | 2006 | 9 | |
| 12 | 1994 | 7 | |
| 13 | 1983 | 7 | |
| 14 | 1990 | 6 | |
| 15 | 1975 | 6 | |
| 16 | 1991 | 4 | |
| 17 | 1998 | 4 | |
| 18 | 1983 | 4 |
About K.‐L. Ting
K.‐L. Ting is a scholar working on Molecular Biology, Biomedical Engineering, Computational Mechanics, Control and Systems Engineering and Physical and Theoretical Chemistry, having authored 18 papers that have together received 334 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), DNA and Nucleic Acid Chemistry (4 papers), RNA and protein synthesis mechanisms (3 papers), Advanced Theoretical and Applied Studies in Material Sciences and Geometry (2 papers), Manufacturing Process and Optimization (2 papers), Robotic Mechanisms and Dynamics (2 papers), Enzyme Structure and Function (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Molecular Biology (236 citations), Filtration and Separation (6 citations), Physical and Theoretical Chemistry (19 citations), Computational Theory and Mathematics (20 citations) and Spectroscopy (20 citations). K.‐L. Ting has collaborated with scholars based in United States, Israel and Taiwan. Frequent co-authors include Robert L. Jernigan, J. Garnier, Andrzej Kloczkowski, Arieh Ben‐Naim, Akinori Sarai, A. H. Soni, Ruth Nussinov, G. Raghunathan, Sheng Jiang and Zhiqi Liu. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Biopolymers, Polymer, Materials Science and Engineering A and Genomics.
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.