Dehua Yang

13.8k total citations · 3 hit papers
250 papers, 6.5k citations indexed

About

Dehua Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Dehua Yang has authored 250 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Molecular Biology, 50 papers in Cellular and Molecular Neuroscience and 39 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Dehua Yang's work include Receptor Mechanisms and Signaling (51 papers), Neuropeptides and Animal Physiology (37 papers) and Diabetes Treatment and Management (31 papers). Dehua Yang is often cited by papers focused on Receptor Mechanisms and Signaling (51 papers), Neuropeptides and Animal Physiology (37 papers) and Diabetes Treatment and Management (31 papers). Dehua Yang collaborates with scholars based in China, United States and Japan. Dehua Yang's co-authors include Ming‐Wei Wang, Weidong Le, Sheng Chen, Antao Dai, Qingtong Zhou, Xiaoqing Cai, Raymond C. Stevens, Bing Huang, Jie Xiong and Jie Jia and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Dehua Yang

234 papers receiving 6.5k citations

Hit Papers

Common activation mechanism of class A GPCRs 2016 2026 2019 2022 2019 2021 2016 100 200 300

Peers

Dehua Yang
Comparison fields: 5 of 172
  • Molecular Biology 3.7k
  • Cellular and Molecular Neuroscience 1.7k
  • Endocrinology, Diabetes and Metabolism 843
  • Surgery 613
  • Physiology 548
Replace Lei Zhang with:
Lei Zhang China
Jae‐Yong Park South Korea
Dobromir Dobrev Germany
Glenn I. Fishman United States
Tao Xu China
Robert M. Graham Australia
Fulvio Magni Italy
Hemal H. Patel United States
Xander H.T. Wehrens United States
Biaoyang Lin United States
Lei Zhang China View profile →
Citations per field, relative to Dehua Yang
Dehua Yang · 1×
Citations per year, relative to Dehua Yang
Dehua Yang · 1×

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-authorship network of co-authors of Dehua Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Dehua Yang. A scholar is included among the top collaborators of Dehua Yang 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 Dehua Yang. Dehua Yang 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 2
3 0
4 0
5 0
6 1
7 1
8 8
9 4
10 7
11 25
12 25
13 28
14 18
15 5
16 110
17 7
18 36
19
Common activation mechanism of class A GPCRs breakdown →
396
20 9

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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