Yuan‐Yeh Kuo

3.3k total citations
56 papers, 1.3k citations indexed

About

Yuan‐Yeh Kuo is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Yuan‐Yeh Kuo has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Hematology, 27 papers in Genetics and 23 papers in Molecular Biology. Recurrent topics in Yuan‐Yeh Kuo's work include Acute Myeloid Leukemia Research (34 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (26 papers) and Kruppel-like factors research (7 papers). Yuan‐Yeh Kuo is often cited by papers focused on Acute Myeloid Leukemia Research (34 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (26 papers) and Kruppel-like factors research (7 papers). Yuan‐Yeh Kuo collaborates with scholars based in Taiwan, United States and Singapore. Yuan‐Yeh Kuo's co-authors include Fengsheng Su, Hwei‐Fang Tien, Wen‐Chien Chou, Hsiao‐Huei Chen, Hsin‐An Hou, Jih‐Luh Tang, Ching‐Hua Kuo, Zee-Fen Chang, Mei‐Hsuan Tseng and Ming Yao and has published in prestigious journals such as Genes & Development, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Yuan‐Yeh Kuo

49 papers receiving 1.2k citations

Peers

Yuan‐Yeh Kuo
Comparison fields: 5 of 83
  • Molecular Biology 662
  • Hematology 627
  • Genetics 357
  • Pharmaceutical Science 150
  • Cancer Research 145
Replace John C. Byrd with:
John C. Byrd United States
S. Danhauser-Riedl Germany
Philipp Mayer‐Kuckuk United States
Boris Klebanov United States
Christopher M. Sheth United States
Tülin Budak-Alpdoǧan United States
Fazel Shokri Iran
Frédéric Barabé Canada
Joshua F. Zeidner United States
John C. Byrd United States View profile →
Citations per field, relative to Yuan‐Yeh Kuo
Yuan‐Yeh Kuo · 1×
Citations per year, relative to Yuan‐Yeh Kuo
Yuan‐Yeh Kuo · 1×

Countries citing papers authored by Yuan‐Yeh Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Yuan‐Yeh Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan‐Yeh Kuo. 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 Yuan‐Yeh Kuo. The network helps show where Yuan‐Yeh Kuo may publish in the future.

Co-authorship network of co-authors of Yuan‐Yeh Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan‐Yeh Kuo. A scholar is included among the top collaborators of Yuan‐Yeh Kuo 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 Yuan‐Yeh Kuo. Yuan‐Yeh Kuo 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
# Work Indexed citations
1 0
2 8
3 7
4 12
5 17
6 6
7 1
8 19
9 5
10 38
11 26
12 35
13 29
14 18
15 3
16 10
17 86
18 122
19 73
20 4

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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