Scott W. Bagley

57 total papers · 1.8k total citations
25 papers, 1.1k citations indexed

About

Scott W. Bagley is a scholar working on Organic Chemistry, Molecular Biology and Physiology. According to data from OpenAlex, Scott W. Bagley has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Organic Chemistry, 12 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Scott W. Bagley's work include Sulfur-Based Synthesis Techniques (7 papers), Catalytic C–H Functionalization Methods (5 papers) and Chemical Synthesis and Analysis (4 papers). Scott W. Bagley is often cited by papers focused on Sulfur-Based Synthesis Techniques (7 papers), Catalytic C–H Functionalization Methods (5 papers) and Chemical Synthesis and Analysis (4 papers). Scott W. Bagley collaborates with scholars based in United States, United Kingdom and Hong Kong. Scott W. Bagley's co-authors include Michael C. Willis, Vincent Mascitti, Neal P. Mankad, F. Dean Toste, Robert G. Bergman, Miles W. Johnson, John M. Curto, Alyn T. Davies, Terry Shing‐Bong Lou and Mark W. Bundesmann and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Chemistry and Journal of Medicinal Chemistry.

In The Last Decade

Scott W. Bagley

24 papers receiving 1.1k citations

Hit Papers

Decarboxylative cross-nuc... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Scott W. Bagley 909 182 178 54 31 25 1.1k
Qin Q 1.0k 1.1× 172 0.9× 192 1.1× 126 2.3× 35 1.1× 45 1.4k
Peter T. W. Cheng 1.1k 1.2× 86 0.5× 302 1.7× 268 5.0× 23 0.7× 49 1.5k
Dooseop Kim 690 0.8× 63 0.3× 201 1.1× 113 2.1× 15 0.5× 21 1.0k
Justin M. Lopchuk 790 0.9× 89 0.5× 386 2.2× 85 1.6× 15 0.5× 26 1.2k
Andrew Fensome 682 0.8× 40 0.2× 248 1.4× 57 1.1× 24 0.8× 31 1.2k
Ned M. Weinshenker 737 0.8× 91 0.5× 316 1.8× 96 1.8× 15 0.5× 23 1.0k
Chulho Choi 778 0.9× 116 0.6× 260 1.5× 95 1.8× 4 0.1× 33 971
Taoda Shi 747 0.8× 123 0.7× 341 1.9× 120 2.2× 33 1.1× 42 1.1k
Jason E. Imbriglio 619 0.7× 33 0.2× 317 1.8× 105 1.9× 101 3.3× 20 1.0k
Yuanfei Zhang 1.2k 1.3× 44 0.2× 133 0.7× 242 4.5× 34 1.1× 27 1.4k

Countries citing papers authored by Scott W. Bagley

Since Specialization
Citations

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

Fields of papers citing papers by Scott W. Bagley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott W. Bagley. 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 Scott W. Bagley. The network helps show where Scott W. Bagley may publish in the future.

Co-authorship network of co-authors of Scott W. Bagley

This figure shows the co-authorship network connecting the top 25 collaborators of Scott W. Bagley. A scholar is included among the top collaborators of Scott W. Bagley 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 Scott W. Bagley. Scott W. Bagley 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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