Ching‐Han Yu

663 citations
30 papers · 573 · h-index 13

Impact in

Papers in

Ching‐Han Yu

30 papers receiving 571 citations

Peers

Ching‐Han Yu
Comparison fields: 5 of 87
  • Endocrine and Autonomic Systems 120
  • Toxicology 31
  • Behavioral Neuroscience 15
  • Organic Chemistry 118
  • Nutrition and Dietetics 59
Replace Liyi Geng with:
Liyi Geng United States
Sylvie Berger France
Xingyu Zhao China
Sonia Liberati Italy
Pınar Aslan Koşar Türkiye
Yun Tian China
Baiba Jansone Latvia
Makoto Ito Japan
Shiro Takekawa Japan
Anne Kasus‐Jacobi United States
Ching‐Han Yu relative to Liyi Geng United States Liyi Geng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ching‐Han Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Han Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ching‐Han 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 Ching‐Han Yu Line = papers co-authored together Ching‐Han Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008133
2 200778
3 201057
4 200741
5 201138
6 201423
7 201823
8 201119
9 201419
10 201218
11 201515
12 201415
13 201312
14 201311
15 201810
16 20168
17 20197
18 20176
19 20176
20 20225

About Ching‐Han Yu

Ching‐Han Yu is a scholar working on Endocrine and Autonomic Systems, Physiology, Epidemiology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 573 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (14 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Biochemical Analysis and Sensing Techniques (7 papers), Adipose Tissue and Metabolism (6 papers), Quinazolinone synthesis and applications (4 papers), Neuropeptides and Animal Physiology (3 papers), Synthesis and Biological Evaluation (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (120 citations), Toxicology (31 citations), Behavioral Neuroscience (15 citations), Organic Chemistry (118 citations) and Nutrition and Dietetics (59 citations). Ching‐Han Yu has collaborated with scholars based in Taiwan, China and Russia. Frequent co-authors include Hsiao‐Fung Pu, Shu‐Fen Kan, Pei‐Ni Chen, Yih‐Shou Hsieh, Dong‐Yih Kuo, Eileen Jea Chien, Shu‐Chen Chu, Paulus S. Wang, Jong‐Ming Hsu and Ming‐Jen Chen. Their work appears in journals such as Hormones and Behavior, Biology of Reproduction, British Journal of Pharmacology, Journal of Cellular Biochemistry and International Journal of Medical Sciences.

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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