Chia‐Cheng Yu

1.6k citations
80 papers · 1.2k · h-index 20

Impact in

Papers in

Chia‐Cheng Yu

78 papers receiving 1.2k citations

Peers

Chia‐Cheng Yu
Comparison fields: 5 of 98
  • Cancer Research 177
  • Pulmonary and Respiratory Medicine 296
  • Oncology 148
  • Urology 31
  • Pathology and Forensic Medicine 87
Replace Hsi‐Chin Wu with:
Hsi‐Chin Wu Taiwan
Zhe Tang China
Xiaoling Du China
Qiu Li China
Zhaorui Sun China
Hongbao Liu China
Holly C. Williams United States
Wenhao Shen China
Aleksandar Arsenijević Serbia
Chia‐Cheng Yu relative to Hsi‐Chin Wu Taiwan Hsi‐Chin Wu's profile →
Citations per field
00.5×3.5×
Hsi‐Chin Wu · 1×
Citations per year

Countries citing papers authored by Chia‐Cheng Yu

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Cheng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chia‐Cheng Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chia‐Cheng Yu Line = papers co-authored together Chia‐Cheng Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200980
2 200476
3 201152
4 200452
5 201951
6 201250
7 200645
8 201739
9 201437
10 200733
11 201528
12 201925
13 200225
14
Androgen receptor gene polymorphism and prostate cancer in Taiwan.
200324
15 201323
16 201521
17 200121
18 201120
19 201220
20 201919

About Chia‐Cheng Yu

Chia‐Cheng Yu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 80 papers that have together received 1.2k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (12 papers), Ion channel regulation and function (6 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Cancer-related gene regulation (5 papers), Urologic and reproductive health conditions (4 papers), Hormonal and reproductive studies (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Sexual Differentiation and Disorders (4 papers). The work is most often cited by research in Cancer Research (177 citations), Pulmonary and Respiratory Medicine (296 citations), Oncology (148 citations), Urology (31 citations) and Pathology and Forensic Medicine (87 citations). Chia‐Cheng Yu has collaborated with scholars based in Taiwan, United States and Slovenia. Frequent co-authors include Shu‐Pin Huang, Chao‐Yuan Huang, Bo‐Ying Bao, Jong‐Khing Huang, Ming‐Tsang Wu, Tony T. Wu, Chun‐Hsiung Huang, Wen‐Jeng Wu, Te‐Ling Lu and Ying-Huei Lee. Their work appears in journals such as Scientific Reports, International Journal of Medical Sciences, Cancer Medicine, The Prostate and PLoS ONE.

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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