Yu‐Sheng Chao

4.7k citations
98 papers · 3.7k indexed · h-index 36
Topics
Peroxisome Proliferator-Activated Receptors (18 papers)Diabetes Treatment and Management (15 papers)Neuropeptides and Animal Physiology (10 papers)
Partner nations
TaiwanUnited StatesIndia

In The Last Decade

Yu‐Sheng Chao

98 papers receiving 3.6k citations

Peers

Yu‐Sheng Chao
Comparison fields: 5 of 126
  • Molecular Biology 1.6k
  • Surgery 782
  • Oncology 541
  • Organic Chemistry 533
  • Immunology 454
Replace Guang Liang with:
Guang Liang China
Changyuan Wang China
SubbaRao V. Madhunapantula India
Hany A. Omar United Arab Emirates
Chunlin Zhuang China
Ramiro Jover Spain
Johannes M. Breuss Austria
Yong Zhou China
Anas Shamsi India
Shu-Feng Zhou China
Yu‐Sheng Chao relative to Guang Liang China Guang Liang's profile →
Citations per field
00.5×1.5×2.1×
Guang Liang · 1×
Citations per year

Countries citing papers authored by Yu‐Sheng Chao

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Sheng Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu‐Sheng Chao

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Sheng Chao. A scholar is included among the top collaborators of Yu‐Sheng Chao 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 Yu‐Sheng Chao. Yu‐Sheng Chao 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 5
2 13
3 19
4 12
5 14
6 11
7 10
8 23
9 15
10 7
11 48
12 9
13 10
14 8
15
Anti-influenza drug discovery
1
16 26
17 8
18 165
19 53
20 177

About Yu‐Sheng Chao

Yu‐Sheng Chao is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Hepatology, having authored 98 papers that have together received 3.7k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (18 papers), Diabetes Treatment and Management (15 papers) and Neuropeptides and Animal Physiology (10 papers). The work is most often cited by research in Biochemistry (205 citations), Endocrinology, Diabetes and Metabolism (452 citations) and Cancer Research (357 citations). Yu‐Sheng Chao has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Samuel D. Wright, Melba Hernandez, Charlotte Burton, Patricia A. Detmers, Carl P. Sparrow, Steven S. Mundt, Anne Hermanowski‐Vosatka, Teng‐Kuang Yeh, Shiow‐Ju Lee and Sushma Patel. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.

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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