Dehua Yang

240 papers receiving 6.7k citations

Dehua Yang's Hit Papers

G protein-coupled receptors: structure- and function-based drug discovery 2021 · 424 citations
4240+3+6Years since publication100200300400

Peers

Dehua Yang
Comparison fields: 5 of 170
  • Cellular and Molecular Neuroscience 1.7k
  • Endocrinology, Diabetes and Metabolism 823
  • Molecular Biology 3.6k
  • Neurology 477
  • Endocrine and Autonomic Systems 187
Replace Jae‐Yong Park with:
Jae‐Yong Park South Korea
Takashi Nakagawa Japan
Robert M. Graham Australia
Kōichi Sato Japan
Yong Li China
Tao Xu China
Michael P. Walsh Canada
Fulvio Magni Italy
Seiji Ito Japan
Yoshio Ikeda Japan
Dehua Yang relative to Jae‐Yong Park South Korea Jae‐Yong Park's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dehua Yang

Since Specialization
Citations

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

Fields of papers citing papers by Dehua Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dehua Yang. 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 Dehua Yang. The network helps show where Dehua Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 252 papers — load more, or switch the sort, to bring in the rest.

#Work
1
G protein-coupled receptors: structure- and function-based drug discovery
Hit paper breakdown →
2021424
2
Common activation mechanism of class A GPCRs
Hit paper breakdown →
2019417
3 2005381
4 2011307
5 2013298
6
Glucagon-Like Peptide-1 and Its Class B G Protein–Coupled Receptors: A Long March to Therapeutic Successes
Hit paper breakdown →
2016297
7 2007191
8 2006145
9 2012138
10 2005136
11 2013128
12 2014118
13 2020116
14 2021103
15 201198
16 201593
17 201193
18 202172
19 201571
20 202370

About Dehua Yang

Dehua Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Surgery and Atomic and Molecular Physics, and Optics, having authored 252 papers that have together received 6.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (51 papers), Neuropeptides and Animal Physiology (37 papers), Diabetes Treatment and Management (31 papers), Adaptive optics and wavefront sensing (23 papers), Congenital gastrointestinal and neural anomalies (11 papers), Advanced Measurement and Metrology Techniques (10 papers), Pancreatic function and diabetes (9 papers) and Optical Systems and Laser Technology (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Endocrinology, Diabetes and Metabolism (823 citations), Molecular Biology (3.6k citations), Neurology (477 citations) and Endocrine and Autonomic Systems (187 citations). Dehua Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ming‐Wei Wang, Weidong Le, Antao Dai, Sheng Chen, Qingtong Zhou, Xiaoqing Cai, Raymond C. Stevens, Jie Xiong, Yi Shi and Bing Huang. Their work appears in journals such as Acta Pharmacologica Sinica, Proceedings of the National Academy of Sciences, Acta Pharmaceutica Sinica B, PLoS ONE and Journal of Biological Chemistry.

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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