Shaoyin Wang

71 total papers · 1.7k total citations
38 papers, 1.5k citations indexed

About

Shaoyin Wang is a scholar working on Organic Chemistry, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shaoyin Wang has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Organic Chemistry, 11 papers in Cellular and Molecular Neuroscience and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shaoyin Wang's work include Neuroscience and Neuropharmacology Research (11 papers), Catalytic C–H Functionalization Methods (11 papers) and Neurotransmitter Receptor Influence on Behavior (7 papers). Shaoyin Wang is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Catalytic C–H Functionalization Methods (11 papers) and Neurotransmitter Receptor Influence on Behavior (7 papers). Shaoyin Wang collaborates with scholars based in China, United States and Finland. Shaoyin Wang's co-authors include John L. Neumeyer, Richard A. Milius, Ronald M. Baldwin, Shaowu Wang, Yolanda Zea‐Ponce, Robert B. Innis, Sami S. Zoghbi, Zhuo Chai, Nora S. Kula and Eileen O. Smith and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Communications and Journal of Medicinal Chemistry.

In The Last Decade

Shaoyin Wang

37 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
Shaoyin Wang 656 484 330 280 253 38 1.5k
Sanath K. Meegalla 299 0.5× 299 0.6× 244 0.7× 469 1.7× 316 1.2× 38 1.4k
Peter C. Meltzer 854 1.3× 469 1.0× 231 0.7× 209 0.7× 547 2.2× 61 1.8k
David Alagille 599 0.9× 401 0.8× 252 0.8× 175 0.6× 694 2.7× 87 1.7k
Magnus Schou 428 0.7× 252 0.5× 170 0.5× 528 1.9× 396 1.6× 95 1.8k
Nora S. Kula 867 1.3× 261 0.5× 208 0.6× 146 0.5× 658 2.6× 70 1.5k
Laurent Martarello 375 0.6× 209 0.4× 81 0.2× 509 1.8× 527 2.1× 61 1.5k
Ronald J. Voll 335 0.5× 249 0.5× 104 0.3× 288 1.0× 406 1.6× 84 1.4k
Shunichi Oya 519 0.8× 199 0.4× 88 0.3× 437 1.6× 418 1.7× 41 1.5k
Christophe Plisson 437 0.7× 251 0.5× 85 0.3× 329 1.2× 552 2.2× 57 1.4k
Timothy J. Desmond 918 1.4× 223 0.5× 347 1.1× 139 0.5× 502 2.0× 48 1.8k

Countries citing papers authored by Shaoyin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shaoyin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoyin Wang

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