Shouliang Yang

39 total papers · 1.3k total citations
18 papers, 999 citations indexed

About

Shouliang Yang is a scholar working on Organic Chemistry, Pharmacology and Molecular Biology. According to data from OpenAlex, Shouliang Yang has authored 18 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Organic Chemistry, 5 papers in Pharmacology and 4 papers in Molecular Biology. Recurrent topics in Shouliang Yang's work include Catalytic C–H Functionalization Methods (7 papers), Radical Photochemical Reactions (5 papers) and Catalytic Cross-Coupling Reactions (5 papers). Shouliang Yang is often cited by papers focused on Catalytic C–H Functionalization Methods (7 papers), Radical Photochemical Reactions (5 papers) and Catalytic Cross-Coupling Reactions (5 papers). Shouliang Yang collaborates with scholars based in United States, China and Sweden. Shouliang Yang's co-authors include Gary M. Gallego, Phil S. Baran, Michael R. Collins, Pavel K. Mykhailiuk, Jiahua Chen, Zhen Yang, James J. Mousseau, Gregory L. Beutner, Yu Kawamata and Miao Chen and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Shouliang Yang

18 papers receiving 985 citations

Hit Papers

Hindered dialkyl ether sy... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Shouliang Yang 905 157 157 80 65 18 999
Boris Gášpár 931 1.0× 133 0.8× 226 1.4× 73 0.9× 57 0.9× 12 1.0k
Trevor C. Sherwood 982 1.1× 106 0.7× 164 1.0× 70 0.9× 108 1.7× 23 1.1k
Samantha A. Green 942 1.0× 172 1.1× 273 1.7× 97 1.2× 48 0.7× 9 1.1k
David Huang 959 1.1× 132 0.8× 302 1.9× 40 0.5× 46 0.7× 23 1.1k
Craig S. Tomooka 830 0.9× 172 1.1× 274 1.7× 36 0.5× 48 0.7× 15 983
Michael J. Zacuto 849 0.9× 167 1.1× 151 1.0× 68 0.8× 31 0.5× 29 938
Hai‐Jun Zhang 851 0.9× 161 1.0× 195 1.2× 48 0.6× 61 0.9× 29 1.1k
Christopher R. Jamison 909 1.0× 78 0.5× 116 0.7× 74 0.9× 31 0.5× 12 991
David Zhigang Wang 957 1.1× 121 0.8× 141 0.9× 39 0.5× 33 0.5× 30 1.1k
Sophia L. Shevick 769 0.8× 92 0.6× 250 1.6× 74 0.9× 62 1.0× 9 881

Countries citing papers authored by Shouliang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shouliang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouliang Yang

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