T.A. Lin
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
-
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Metabolism, Diabetes, and Cancer
- Polyamine Metabolism and Applications
- Ion channel regulation and function
- RNA and protein synthesis mechanisms
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 3
- Ion channel regulation and function 2
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 2
- Viral Infectious Diseases and Gene Expression in Insects 1
-
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- John C. Lawrence (5 shared papers)Clare M.M. Haystead (1 shared paper)C. Hu (1 shared paper)Timothy Haystead (1 shared paper)Lee M. Graves (1 shared paper)E G Krebs (1 shared paper)Xiuying Kong (1 shared paper)Gretchen Argast (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Neurochemistry (2 papers)Proceedings of the National Academy of Sciences (1 paper)Diabetologia (1 paper)Current topics in microbiology and immunology (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
T.A. Lin
9 papers receiving 558 citations
Peers
Comparison fields: 5 of 71
- Physiology 60
- Molecular Biology 471
- Cell Biology 60
- Cellular and Molecular Neuroscience 60
- Physiology 64
Countries citing papers authored by T.A. Lin
This map shows the geographic impact of T.A. 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 T.A. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.A. Lin more than expected).
Fields of papers citing papers by T.A. Lin
This network shows the impact of papers produced by T.A. 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 T.A. Lin. The network helps show where T.A. Lin may publish in the future.
Co-authors
The 24 scholars most cited alongside T.A. 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
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 203 | |
| 2 | 1994 | 157 | |
| 3 | 1994 | 64 | |
| 4 | 1993 | 63 | |
| 5 | 2004 | 26 | |
| 6 | 1995 | 17 | |
| 7 | 1993 | 17 | |
| 8 | 1997 | 17 | |
| 9 | 1993 | 12 |
About T.A. Lin
T.A. Lin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Physiology and Cell Biology, having authored 9 papers that have together received 576 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Ion channel regulation and function (2 papers), Neuroscience and Neuropharmacology Research (2 papers), RNA Research and Splicing (2 papers), RNA and protein synthesis mechanisms (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Physiology (60 citations), Molecular Biology (471 citations), Cell Biology (60 citations), Cellular and Molecular Neuroscience (60 citations) and Physiology (64 citations). T.A. Lin has collaborated with scholars based in United States and Taiwan. Frequent co-authors include John C. Lawrence, Clare M.M. Haystead, C. Hu, Timothy Haystead, Lee M. Graves, E G Krebs, Xiuying Kong, Gretchen Argast, Karin Bornfeldt and Grace Y. Sun. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neurochemistry, Proceedings of the National Academy of Sciences, Diabetologia and Current topics in microbiology and immunology.
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.