Ting‐Yu Lai

24 total papers · 434 total citations
16 papers, 344 citations indexed

About

Ting‐Yu Lai is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Ting‐Yu Lai has authored 16 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Oncology. Recurrent topics in Ting‐Yu Lai's work include Immune Response and Inflammation (4 papers), Cancer-related molecular mechanisms research (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Ting‐Yu Lai is often cited by papers focused on Immune Response and Inflammation (4 papers), Cancer-related molecular mechanisms research (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Ting‐Yu Lai collaborates with scholars based in Taiwan, United States and China. Ting‐Yu Lai's co-authors include Chih‐Yuan Lee, Li‐Chung Hsu, Han‐Sun Chiang, Chung‐Hsin Yeh, Chiang‐Ting Chien, Meng‐Kun Tsai, Liang‐Chuan Lai, Michael Karin, Jun Seita and Irving L. Weissman and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Nature Immunology.

In The Last Decade

Ting‐Yu Lai

15 papers receiving 342 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ting‐Yu Lai 165 109 70 54 50 16 344
G J Eaton 175 1.1× 69 0.6× 61 0.9× 68 1.3× 82 1.6× 16 369
Atsushi Matsui 166 1.0× 76 0.7× 92 1.3× 61 1.1× 37 0.7× 25 369
Tamaki Abe 282 1.7× 81 0.7× 47 0.7× 62 1.1× 15 0.3× 12 379
Bjørnar Sporsheim 180 1.1× 139 1.3× 39 0.6× 20 0.4× 20 0.4× 20 380
Fernando Erra Díaz 139 0.8× 132 1.2× 73 1.0× 57 1.1× 13 0.3× 18 379
Nupur Aggarwal 138 0.8× 76 0.7× 79 1.1× 44 0.8× 24 0.5× 15 336
Alicja Karwowska 136 0.8× 49 0.4× 57 0.8× 33 0.6× 36 0.7× 22 353
Hong Liao 107 0.6× 70 0.6× 27 0.4× 68 1.3× 25 0.5× 19 349
Na Tian 163 1.0× 84 0.8× 73 1.0× 42 0.8× 26 0.5× 18 388
S. Leech 110 0.7× 83 0.8× 18 0.3× 87 1.6× 31 0.6× 14 352

Countries citing papers authored by Ting‐Yu Lai

Since Specialization
Citations

This map shows the geographic impact of Ting‐Yu Lai'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‐Yu Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting‐Yu Lai more than expected).

Fields of papers citing papers by Ting‐Yu Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting‐Yu Lai. 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‐Yu Lai. The network helps show where Ting‐Yu Lai may publish in the future.

Co-authorship network of co-authors of Ting‐Yu Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Ting‐Yu Lai. A scholar is included among the top collaborators of Ting‐Yu Lai 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 Ting‐Yu Lai. Ting‐Yu Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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