Wengang Wang

19 total papers · 1.8k total citations
17 papers, 1.5k citations indexed

About

Wengang Wang is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Wengang Wang has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrine and Autonomic Systems, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in Wengang Wang's work include Neuroscience of respiration and sleep (10 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neuroendocrine regulation and behavior (5 papers). Wengang Wang is often cited by papers focused on Neuroscience of respiration and sleep (10 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neuroendocrine regulation and behavior (5 papers). Wengang Wang collaborates with scholars based in United States, China and Canada. Wengang Wang's co-authors include George B. Richerson, Stefania Risso Bradley, Yuanming Wu, Jyoti Kumar Tiwari, John Pizzonia, Vincent A. Pieribone, Christopher Severson, Ana Dı́ez-Sampedro, Carolin Dohle and Evan S. Deneris and has published in prestigious journals such as Nature, Neuron and Nature Neuroscience.

In The Last Decade

Wengang Wang

16 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Wengang Wang 845 552 539 382 333 17 1.5k
Andrew K. Tryba 815 1.0× 421 0.8× 701 1.3× 334 0.9× 267 0.8× 28 1.6k
Kaiwen Kam 667 0.8× 729 1.3× 556 1.0× 311 0.8× 541 1.6× 15 1.7k
J. Champagnat 732 0.9× 522 0.9× 314 0.6× 307 0.8× 376 1.1× 36 1.2k
Natasha N. Kumar 580 0.7× 282 0.5× 320 0.6× 215 0.6× 234 0.7× 34 1.2k
James R. Haselton 682 0.8× 525 1.0× 501 0.9× 311 0.8× 191 0.6× 24 1.4k
Timothy W. Bailey 758 0.9× 562 1.0× 361 0.7× 255 0.7× 427 1.3× 20 1.6k
Jean‐Charles Viemari 1.1k 1.2× 263 0.5× 581 1.1× 493 1.3× 287 0.9× 32 1.6k
Charles P. Sevigny 908 1.1× 294 0.5× 553 1.0× 382 1.0× 175 0.5× 16 1.3k
Seth D. DePuy 863 1.0× 215 0.4× 443 0.8× 291 0.8× 152 0.5× 13 1.1k
Vitaliy Kasymov 537 0.6× 497 0.9× 286 0.5× 142 0.4× 405 1.2× 20 1.4k

Countries citing papers authored by Wengang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wengang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wengang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wengang Wang. A scholar is included among the top collaborators of Wengang 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 Wengang Wang. Wengang 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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