Lin‐Tai Da
Impact in
- Spectroscopy top 5%
- Molecular Sensors and Ion Detection
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- DNA and Nucleic Acid Chemistry
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
Papers in
-
- DNA and Nucleic Acid Chemistry 18
- RNA and protein synthesis mechanisms 16
- Genomics and Chromatin Dynamics 13
- Protein Structure and Dynamics 9
- DNA Repair Mechanisms 7
- RNA Research and Splicing 6
- vaccines and immunoinformatics approaches 6
- Glycosylation and Glycoproteins Research 5
- Co-authors
- Xuhui Huang (8 shared papers)Dong Wang (6 shared papers)Daniel‐Adriano Silva (4 shared papers)Jin Yu (12 shared papers)Luming Meng (4 shared papers)Jacky W. Y. Lam (1 shared paper)Sijie Chen (1 shared paper)Yuning Hong (1 shared paper)
- Journals
- Nucleic Acids Research (7 papers)Journal of Chemical Information and Modeling (4 papers)ACS Catalysis (4 papers)Biophysical Journal (3 papers)International Journal of Biological Macromolecules (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lin‐Tai Da
59 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Spectroscopy 241
- Molecular Biology 900
- Virology 50
- Sensory Systems 42
- Materials Chemistry 321
Countries citing papers authored by Lin‐Tai Da
This map shows the geographic impact of Lin‐Tai Da'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 Lin‐Tai Da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin‐Tai Da more than expected).
Fields of papers citing papers by Lin‐Tai Da
This network shows the impact of papers produced by Lin‐Tai Da. 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 Lin‐Tai Da. The network helps show where Lin‐Tai Da may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin‐Tai Da, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 354 | |
| 2 | 2014 | 125 | |
| 3 | 2011 | 116 | |
| 4 | 2016 | 79 | |
| 5 | 2019 | 75 | |
| 6 | 2013 | 50 | |
| 7 | 2015 | 35 | |
| 8 | 2020 | 35 | |
| 9 | 2018 | 33 | |
| 10 | 2013 | 29 | |
| 11 | 2017 | 27 | |
| 12 | 2023 | 26 | |
| 13 | 2014 | 25 | |
| 14 | 2014 | 25 | |
| 15 | 2020 | 21 | |
| 16 | 2017 | 21 | |
| 17 | 2019 | 19 | |
| 18 | 2019 | 15 | |
| 19 | 2020 | 15 | |
| 20 | 2019 | 14 |
About Lin‐Tai Da
Lin‐Tai Da is a scholar working on Molecular Biology, Organic Chemistry, Virology, Genetics and Immunology, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (18 papers), RNA and protein synthesis mechanisms (16 papers), Genomics and Chromatin Dynamics (13 papers), Protein Structure and Dynamics (9 papers), DNA Repair Mechanisms (7 papers), RNA Research and Splicing (6 papers), vaccines and immunoinformatics approaches (6 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Spectroscopy (241 citations), Molecular Biology (900 citations), Virology (50 citations), Sensory Systems (42 citations) and Materials Chemistry (321 citations). Lin‐Tai Da has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xuhui Huang, Dong Wang, Daniel‐Adriano Silva, Jin Yu, Luming Meng, Jacky W. Y. Lam, Sijie Chen, Yuning Hong, Ben Zhong Tang and Faisal Mahtab. Their work appears in journals such as Nucleic Acids Research, Journal of Chemical Information and Modeling, ACS Catalysis, Biophysical Journal and International Journal of Biological Macromolecules.
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.