Lee‐Yung Shih

12.2k citations
195 papers · 3.6k indexed · h-index 30
Topics
Acute Myeloid Leukemia Research (74 papers)Chronic Myeloid Leukemia Treatments (51 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (40 papers)
Journals
Journal of Biological ChemistryJournal of Clinical OncologySHILAP Revista de lepidopterología
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Lee‐Yung Shih

186 papers receiving 3.5k citations

Peers

Lee‐Yung Shih
Comparison fields: 5 of 111
  • Hematology 1.7k
  • Molecular Biology 1.2k
  • Genetics 776
  • Oncology 663
  • Pathology and Forensic Medicine 661
Replace Ilse Schwarzinger with:
Ilse Schwarzinger Austria
Daniela Damiani Italy
G. Verhoef Belgium
G.J. Ossenkoppele Netherlands
Hirokazu Murakami Japan
Philippe Casassus France
Dina Ben‐Yehuda Israel
Chihiro Shimazaki Japan
Giuliana Alimena Italy
Vinod Pullarkat United States
Lee‐Yung Shih relative to Ilse Schwarzinger Austria Ilse Schwarzinger's profile →
Citations per field
00.5×1.5×
Ilse Schwarzinger · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 3
6 0
7 1
8 3
9 2
10 3
11 1
12 41
13 25
14 1
15 37
16 1
17 38
18 57
19 19
20 3

About Lee‐Yung Shih

Lee‐Yung Shih is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 195 papers that have together received 3.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (74 papers), Chronic Myeloid Leukemia Treatments (51 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (40 papers). The work is most often cited by research in Hematology (1.7k citations), Genetics (776 citations) and Pathology and Forensic Medicine (661 citations). Lee‐Yung Shih has collaborated with scholars based in Taiwan, United States and Japan. Frequent 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. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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