Lee‐Yung Shih

378 total papers · 12.1k total citations
193 papers, 3.5k citations indexed

About

Lee‐Yung Shih is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Lee‐Yung Shih has authored 193 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Hematology, 70 papers in Genetics and 50 papers in Molecular Biology. Recurrent topics in Lee‐Yung Shih's work include Acute Myeloid Leukemia Research (73 papers), Chronic Myeloid Leukemia Treatments (50 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (39 papers). Lee‐Yung Shih is often cited by papers focused on Acute Myeloid Leukemia Research (73 papers), Chronic Myeloid Leukemia Treatments (50 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (39 papers). Lee‐Yung Shih collaborates with scholars based in Taiwan, United States and Japan. Lee‐Yung Shih's co-authors include Tseng‐tong Kuo, Ming‐Chung Kuo, Po Dunn, Po‐Nan Wang, Jin‐Hou Wu, Der‐Cherng Liang, Tung‐Liang Lin, Heng‐Leong Chan, Der-Cherng Liang and Hsi‐Che Liu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Lee‐Yung Shih

183 papers receiving 3.5k citations

Author Peers

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

Author Last Decade Papers Cites
Lee‐Yung Shih 1.7k 1.2k 770 662 655 193 3.5k
Ilse Schwarzinger 1.8k 1.0× 1.2k 1.0× 914 1.2× 841 1.3× 437 0.7× 136 4.0k
Rami Mahfouz 1.0k 0.6× 1.2k 1.0× 596 0.8× 528 0.8× 340 0.5× 200 3.5k
Paolo de Fabritiis 1.8k 1.1× 838 0.7× 824 1.1× 706 1.1× 327 0.5× 199 3.2k
Daniela Damiani 1.2k 0.7× 839 0.7× 565 0.7× 1.1k 1.7× 381 0.6× 134 3.0k
Pietro Leoni 1.7k 1.0× 776 0.7× 988 1.3× 741 1.1× 398 0.6× 128 3.4k
Andrzej Hellmann 2.0k 1.2× 1.1k 1.0× 831 1.1× 1.1k 1.7× 347 0.5× 130 4.0k
Isaac Ben‐Bassat 1.3k 0.8× 530 0.4× 817 1.1× 588 0.9× 675 1.0× 140 3.2k
Neelam Varma 1.3k 0.7× 555 0.5× 595 0.8× 400 0.6× 325 0.5× 339 2.9k
Shigeo Horiike 2.1k 1.3× 1.6k 1.4× 933 1.2× 934 1.4× 868 1.3× 165 4.1k
Evarist Feliú 1.3k 0.8× 381 0.3× 976 1.3× 679 1.0× 675 1.0× 210 3.0k

Countries citing papers authored by Lee‐Yung Shih

Since Specialization
Citations

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

Fields of papers citing papers by Lee‐Yung Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee‐Yung Shih. 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 Lee‐Yung Shih. The network helps show where Lee‐Yung Shih may publish in the future.

Co-authorship network of co-authors of Lee‐Yung Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Lee‐Yung Shih. A scholar is included among the top collaborators of Lee‐Yung Shih 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 Lee‐Yung Shih. Lee‐Yung Shih 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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