Tsai‐Yu Lin

61 total papers · 2.1k total citations
39 papers, 1.6k citations indexed

About

Tsai‐Yu Lin is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tsai‐Yu Lin has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 10 papers in Molecular Biology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tsai‐Yu Lin's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Mosquito-borne diseases and control (6 papers) and Viral Infections and Vectors (4 papers). Tsai‐Yu Lin is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Mosquito-borne diseases and control (6 papers) and Viral Infections and Vectors (4 papers). Tsai‐Yu Lin collaborates with scholars based in Taiwan, United States and Switzerland. Tsai‐Yu Lin's co-authors include Theodore C. Pierson, Chien‐Chi Lin, Michael Emerman, Michael Diamond, Roland Züst, Volker Fensterl, Michael Gale, John S. Errett, Kristy J. Szretter and LI Jian-qing and has published in prestigious journals such as Nature, Nature Communications and The Journal of Immunology.

In The Last Decade

Tsai‐Yu Lin

37 papers receiving 1.6k citations

Hit Papers

2′-O methylation of the v... 2010 2026 2015 2020 2010 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Tsai‐Yu Lin 556 465 456 396 217 39 1.6k
Julien Burlaud‐Gaillard 293 0.5× 584 1.3× 290 0.6× 233 0.6× 344 1.6× 68 1.9k
Anne‐Marie Steffan 305 0.5× 775 1.7× 326 0.7× 164 0.4× 296 1.4× 44 1.9k
Winters R. Hardy 321 0.6× 487 1.0× 204 0.4× 274 0.7× 412 1.9× 23 1.6k
Harald G. Foellmer 320 0.6× 502 1.1× 827 1.8× 361 0.9× 168 0.8× 27 2.0k
Daniela Piergili Fioretti 341 0.6× 526 1.1× 376 0.8× 112 0.3× 250 1.2× 86 1.8k
Chih‐Hsiang Leng 383 0.7× 529 1.1× 453 1.0× 307 0.8× 289 1.3× 54 1.3k
Gregory W. Moseley 668 1.2× 777 1.7× 446 1.0× 149 0.4× 451 2.1× 72 2.2k
Reinhard Maier 567 1.0× 525 1.1× 823 1.8× 147 0.4× 246 1.1× 35 2.1k
Peter M. Moyle 359 0.6× 1.1k 2.3× 705 1.5× 323 0.8× 263 1.2× 66 2.1k
Abinash Padhi 227 0.4× 262 0.6× 231 0.5× 168 0.4× 183 0.8× 62 1.3k

Countries citing papers authored by Tsai‐Yu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Tsai‐Yu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsai‐Yu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Tsai‐Yu Lin. A scholar is included among the top collaborators of Tsai‐Yu 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 Tsai‐Yu Lin. Tsai‐Yu Lin 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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