Ming‐Wei Wang

14.1k total citations · 4 hit papers
313 papers, 6.5k citations indexed

About

Ming‐Wei Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ming‐Wei Wang has authored 313 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Molecular Biology, 58 papers in Cellular and Molecular Neuroscience and 53 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ming‐Wei Wang's work include Receptor Mechanisms and Signaling (61 papers), Neuropeptides and Animal Physiology (47 papers) and Diabetes Treatment and Management (35 papers). Ming‐Wei Wang is often cited by papers focused on Receptor Mechanisms and Signaling (61 papers), Neuropeptides and Animal Physiology (47 papers) and Diabetes Treatment and Management (35 papers). Ming‐Wei Wang collaborates with scholars based in China, United States and Japan. Ming‐Wei Wang's co-authors include Dehua Yang, Qing Liu, Qingtong Zhou, Antao Dai, Raymond C. Stevens, R.J. Hamer, Xiaoqing Cai, T. van Vliet, Suwen Zhao and Caihong Zhou and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Ming‐Wei Wang

293 papers receiving 6.4k citations

Hit Papers

Common activation mechanism of class A GPCRs 2019 2026 2021 2023 2019 2021 2021 2024 100 200 300

Peers

Ming‐Wei Wang
Comparison fields: 5 of 188
  • Molecular Biology 3.5k
  • Cellular and Molecular Neuroscience 1.3k
  • Endocrinology, Diabetes and Metabolism 937
  • Surgery 611
  • Computational Theory and Mathematics 522
Replace Yan Zhang with:
Yan Zhang China
Weihong Song China
Wei Wang China
A.M. Brzozowski United Kingdom
Christopher P. Austin United States
James Riordan United States
Evandro Fei Fang Norway
Shiuan Chen United States
Xinmin Liu China
Christoph Richter Switzerland
Yan Zhang China View profile →
Citations per field, relative to Ming‐Wei Wang
Ming‐Wei Wang · 1×
Citations per year, relative to Ming‐Wei Wang
Ming‐Wei Wang · 1×

Countries citing papers authored by Ming‐Wei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Wei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Wei Wang. 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 Ming‐Wei Wang. The network helps show where Ming‐Wei Wang may publish in the future.

Co-authorship network of co-authors of Ming‐Wei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Wei Wang. A scholar is included among the top collaborators of Ming‐Wei Wang 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 Ming‐Wei Wang. Ming‐Wei Wang 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 1
2 2
3 7
4 1
5 13
6 16
7 8
8 1
9 0
10 19
11 25
12 25
13 28
14 18
15 5
16
LncRNA CASC15 functions as an oncogene by sponging miR-130b-3p in bladder cancer
3
17 110
18 9
19 22
20 143

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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