T.A. Lin

626 total citations
9 papers, 554 citations indexed

About

T.A. Lin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, T.A. Lin has authored 9 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Physiology. Recurrent topics in T.A. Lin's work include Protein Kinase Regulation and GTPase Signaling (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Ion channel regulation and function (2 papers). T.A. Lin is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Ion channel regulation and function (2 papers). T.A. Lin collaborates with scholars based in United States and Taiwan. T.A. Lin's co-authors include John C. Lawrence, Timothy Haystead, C. Hu, Clare M.M. Haystead, Lee M. Graves, Karin Bornfeldt, Gretchen Argast, E G Krebs, Xiuying Kong and Grace Y. Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Stroke.

In The Last Decade

T.A. Lin

9 papers receiving 541 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
T.A. Lin United States 9 470 65 63 56 55 9 554
Rita Padányi Hungary 16 470 1.0× 54 0.8× 71 1.1× 78 1.4× 118 2.1× 27 624
S H Ong United States 13 194 0.4× 73 1.1× 59 0.9× 27 0.5× 59 1.1× 20 371
Nicole A. Bourbon United States 7 488 1.0× 121 1.9× 30 0.5× 24 0.4× 106 1.9× 7 606
Josef Pfeilschifter Switzerland 11 301 0.6× 78 1.2× 24 0.4× 99 1.8× 26 0.5× 12 471
Maria Grazia Rambotti Italy 15 368 0.8× 50 0.8× 113 1.8× 24 0.4× 26 0.5× 34 522
Bernard Pellissier France 12 361 0.8× 97 1.5× 64 1.0× 15 0.3× 47 0.9× 16 466
H S Banga United States 7 311 0.7× 66 1.0× 53 0.8× 17 0.3× 63 1.1× 8 558
Aleksander Baldys United States 14 336 0.7× 39 0.6× 60 1.0× 20 0.4× 104 1.9× 17 534
Hélène Lallet-Daher France 7 307 0.7× 99 1.5× 41 0.7× 24 0.4× 39 0.7× 7 451
Елена Жукова United States 12 431 0.9× 40 0.6× 46 0.7× 13 0.2× 80 1.5× 22 573

Countries citing papers authored by T.A. Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of T.A. Lin

This figure shows the co-authorship network connecting the top 25 collaborators of T.A. Lin. A scholar is included among the top collaborators of T.A. Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T.A. Lin. T.A. Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Lawrence, John C., T.A. Lin, Lloyd P. McMahon, & Kyung Mook Choi. (2004). Modulation of the Protein Kinase Activity of mTOR. Current topics in microbiology and immunology. 279. 199–213. 25 indexed citations
2.
Lin, T.A. & John C. Lawrence. (1997). Control of PHAS-I phosphorylation in 3T3-L1 adipocytes: effects of inhibiting protein phosphatases and the p70 S6K signalling pathway. Diabetologia. 40(14). S18–S24. 17 indexed citations
3.
4.
Graves, Lee M., Karin Bornfeldt, Gretchen Argast, et al.. (1995). cAMP- and rapamycin-sensitive regulation of the association of eukaryotic initiation factor 4E and the translational regulator PHAS-I in aortic smooth muscle cells.. Proceedings of the National Academy of Sciences. 92(16). 7222–7226. 195 indexed citations
5.
Haystead, Timothy, Clare M.M. Haystead, C. Hu, T.A. Lin, & John C. Lawrence. (1994). Phosphorylation of PHAS-I by mitogen-activated protein (MAP) kinase. Identification of a site phosphorylated by MAP kinase in vitro and in response to insulin in rat adipocytes.. Journal of Biological Chemistry. 269(37). 23185–23191. 155 indexed citations
6.
Lin, T.A. & John C. Lawrence. (1994). Activation of ribosomal protein S6 kinases does not increase glycogen synthesis or glucose transport in rat adipocytes.. Journal of Biological Chemistry. 269(33). 21255–21261. 61 indexed citations
7.
Chau, Lee‐Young, T.A. Lin, Wen‐Tsan Chang, et al.. (1993). Endothelin‐Mediated Calcium Response and Inositol 1,4,5‐Trisphosphate Release in Neuroblastoma‐Glioma Hybrid Cells (NG108‐15): Cross Talk with ATP and Bradykinin. Journal of Neurochemistry. 60(2). 454–460. 16 indexed citations
8.
Lin, T.A., et al.. (1993). Signal Transduction Pathways Coupled to a P2U Receptor in Neuroblastoma × Glioma (NG108‐15) Cells. Journal of Neurochemistry. 60(3). 1115–1125. 60 indexed citations
9.
Lin, T.A., et al.. (1993). Effects of Acute Ethanol Administration on Polyphosphoinositide Turnover and Levels of Inositol 1,4,5‐Trisphosphate in Mouse Cerebrum and Cerebellum. Alcoholism Clinical and Experimental Research. 17(2). 401–405. 10 indexed citations

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.

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