Yan-Qing Wang

82 total papers · 3.1k total citations
71 papers, 2.3k citations indexed

About

Yan-Qing Wang is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yan-Qing Wang has authored 71 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Physiology, 19 papers in Molecular Biology and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yan-Qing Wang's work include Pain Mechanisms and Treatments (30 papers), Acupuncture Treatment Research Studies (14 papers) and Neuropeptides and Animal Physiology (10 papers). Yan-Qing Wang is often cited by papers focused on Pain Mechanisms and Treatments (30 papers), Acupuncture Treatment Research Studies (14 papers) and Neuropeptides and Animal Physiology (10 papers). Yan-Qing Wang collaborates with scholars based in China, United States and Japan. Yan-Qing Wang's co-authors include Gen-Cheng Wu, Shenbin Liu, Zhifu Wang, Qiufu Ma, Qi‐Liang Mao‐Ying, Yang‐Shuai Su, Wen‐Li Mi, Xiang‐Hong Jing, Jin Yu and Wei Yang and has published in prestigious journals such as Nature, Neuron and PLoS ONE.

In The Last Decade

Yan-Qing Wang

67 papers receiving 2.3k citations

Hit Papers

A neuroanatomical basis f... 2020 2026 2022 2024 2021 2020 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yan-Qing Wang 856 615 457 456 305 71 2.3k
Sun Kwang Kim 1.0k 1.2× 585 1.0× 336 0.7× 433 0.9× 280 0.9× 97 2.2k
Yeong‐Ray Wen 1.7k 2.0× 284 0.5× 414 0.9× 873 1.9× 311 1.0× 55 2.6k
Qi‐Liang Mao‐Ying 946 1.1× 214 0.3× 416 0.9× 368 0.8× 134 0.4× 54 1.8k
Chauying J. Jen 699 0.8× 231 0.4× 414 0.9× 429 0.9× 289 0.9× 64 2.4k
Wen‐Li Mi 804 0.9× 214 0.3× 352 0.8× 264 0.6× 129 0.4× 68 1.8k
Shenbin Liu 594 0.7× 530 0.9× 317 0.7× 200 0.4× 270 0.9× 28 1.7k
Hee Young Kim 915 1.1× 593 1.0× 445 1.0× 597 1.3× 154 0.5× 127 2.2k
Amal Chandra Mondal 386 0.5× 211 0.3× 670 1.5× 610 1.3× 363 1.2× 74 2.4k
Yong Chen 1.4k 1.6× 184 0.3× 683 1.5× 821 1.8× 153 0.5× 56 2.7k
Katharina Schindowski 1.0k 1.2× 185 0.3× 767 1.7× 517 1.1× 528 1.7× 54 2.4k

Countries citing papers authored by Yan-Qing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yan-Qing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan-Qing 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 Yan-Qing Wang. The network helps show where Yan-Qing Wang may publish in the future.

Co-authorship network of co-authors of Yan-Qing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan-Qing Wang. A scholar is included among the top collaborators of Yan-Qing 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 Yan-Qing Wang. Yan-Qing Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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