Ming-Tseh Lin

110 total papers · 442 total citations
28 papers, 289 citations indexed

About

Ming-Tseh Lin is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Ming-Tseh Lin has authored 28 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 8 papers in Cancer Research and 7 papers in Molecular Biology. Recurrent topics in Ming-Tseh Lin's work include Cancer Genomics and Diagnostics (7 papers), Renal cell carcinoma treatment (4 papers) and Acute Myeloid Leukemia Research (4 papers). Ming-Tseh Lin is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Renal cell carcinoma treatment (4 papers) and Acute Myeloid Leukemia Research (4 papers). Ming-Tseh Lin collaborates with scholars based in United States, Taiwan and Germany. Ming-Tseh Lin's co-authors include Ted Gooley, John A. Hansen, Joan G. Clark, David A. Schwartz, Paul J. Martin, Jason W. Chien, Eva Lorenz, James R. Eshleman, Hwei‐Fang Tien and Christopher D. Gocke and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Blood.

In The Last Decade

Ming-Tseh Lin

26 papers receiving 285 citations

Author Peers

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

Author Last Decade Papers Cites
Ming-Tseh Lin 120 108 65 61 60 28 289
Seiji Segawa 177 1.5× 64 0.6× 41 0.6× 76 1.2× 43 0.7× 17 317
Alexandra Cheerva 96 0.8× 112 1.0× 53 0.8× 84 1.4× 32 0.5× 25 284
Tatiana Lawrence 153 1.3× 89 0.8× 66 1.0× 47 0.8× 29 0.5× 26 319
Pankaj Dwivedi 76 0.6× 78 0.7× 37 0.6× 106 1.7× 31 0.5× 23 291
Yumiko Higuchi 165 1.4× 166 1.5× 50 0.8× 91 1.5× 63 1.1× 31 319
Juan Esteban García-Robledo 75 0.6× 94 0.9× 64 1.0× 65 1.1× 34 0.6× 33 258
Oppenheim Jj 152 1.3× 68 0.6× 39 0.6× 49 0.8× 20 0.3× 18 327
Sasan Ghaffari 84 0.7× 121 1.1× 40 0.6× 115 1.9× 35 0.6× 21 304
Yanli Xu 45 0.4× 65 0.6× 94 1.4× 82 1.3× 43 0.7× 38 322
Haruhi Takagi 50 0.4× 111 1.0× 42 0.6× 112 1.8× 58 1.0× 21 322

Countries citing papers authored by Ming-Tseh Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Tseh Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Tseh 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 Ming-Tseh Lin. The network helps show where Ming-Tseh Lin may publish in the future.

Co-authorship network of co-authors of Ming-Tseh Lin

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