Ryan D. Baxter

3.9k total citations · 4 hit papers
32 papers, 3.4k citations indexed

About

Ryan D. Baxter is a scholar working on Organic Chemistry, Pharmaceutical Science and Inorganic Chemistry. According to data from OpenAlex, Ryan D. Baxter has authored 32 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Organic Chemistry, 8 papers in Pharmaceutical Science and 7 papers in Inorganic Chemistry. Recurrent topics in Ryan D. Baxter's work include Catalytic C–H Functionalization Methods (12 papers), Radical Photochemical Reactions (11 papers) and Fluorine in Organic Chemistry (8 papers). Ryan D. Baxter is often cited by papers focused on Catalytic C–H Functionalization Methods (12 papers), Radical Photochemical Reactions (11 papers) and Fluorine in Organic Chemistry (8 papers). Ryan D. Baxter collaborates with scholars based in United States. Ryan D. Baxter's co-authors include Phil S. Baran, Yuta Fujiwara, Yoshihiro Ishihara, Donna G. Blackmond, Michael R. Collins, Rodrigo A. Rodriguez, Darryl D. Dixon, Tobias Brückl, Duy Ngoc and Yining Ji and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Ryan D. Baxter

29 papers receiving 3.4k citations

Hit Papers

Practical and innate carbon–hydrogen functionalization of... 2011 2026 2016 2021 2012 2011 2012 2011 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ryan D. Baxter United States 18 2.7k 1.6k 981 235 101 32 3.4k
Al Postigo Argentina 28 2.6k 1.0× 2.4k 1.5× 925 0.9× 241 1.0× 85 0.8× 92 3.3k
Cheng‐Pan Zhang China 34 3.1k 1.1× 3.0k 1.9× 1.6k 1.6× 192 0.8× 165 1.6× 103 4.2k
Tatiana Besset France 37 6.3k 2.3× 2.6k 1.6× 1.9k 1.9× 323 1.4× 192 1.9× 110 7.0k
Xiaolong Wan China 32 3.3k 1.2× 868 0.5× 1.0k 1.0× 223 0.9× 74 0.7× 65 3.6k
Pier Alexandre Champagne United States 22 1.7k 0.6× 1.3k 0.8× 553 0.6× 312 1.3× 71 0.7× 47 2.2k
Rodrigo A. Rodriguez United States 15 1.9k 0.7× 981 0.6× 552 0.6× 351 1.5× 47 0.5× 16 2.5k
Yun‐Lin Liu China 35 4.6k 1.7× 964 0.6× 1.0k 1.1× 602 2.6× 176 1.7× 81 4.9k
Qiang‐Shuai Gu China 40 4.8k 1.7× 788 0.5× 880 0.9× 264 1.1× 72 0.7× 89 5.3k
Fionn O’Hara United States 8 2.6k 0.9× 640 0.4× 617 0.6× 148 0.6× 68 0.7× 15 2.9k
Cody Ross Pitts United States 26 1.8k 0.7× 1.4k 0.9× 628 0.6× 109 0.5× 102 1.0× 55 2.3k

Countries citing papers authored by Ryan D. Baxter

Since Specialization
Citations

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

Fields of papers citing papers by Ryan D. Baxter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan D. Baxter. 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 Ryan D. Baxter. The network helps show where Ryan D. Baxter may publish in the future.

Co-authorship network of co-authors of Ryan D. Baxter

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

All Works

20 of 20 papers shown
1.
Mendoza, M., et al.. (2025). Making nanomaterial-enabled nitrate sensors useful for real water systems: user-centric design perspectives. SHILAP Revista de lepidopterología. 6. 1 indexed citations
2.
McCloskey, Kara E., et al.. (2025). Cannabidiol Toxicity Driven by Hydroxyquinone Formation. Chemical Research in Toxicology. 38(2). 231–235.
3.
Afsah‐Hejri, L., Jared O’Leary, Jered V. McGivern, et al.. (2023). Identification of volatile organic compounds (VOCs) by SPME-GC-MS to detect Aspergillus flavus infection in pistachios. Food Control. 154. 110033–110033. 17 indexed citations
4.
Khan, Md Imran, et al.. (2023). Concentration-dependent emission from low molecular weight benzoyl pyrazinium salts. Materials Advances. 4(23). 6271–6276.
5.
McCloskey, Kara E., et al.. (2022). Tuning three-dimensional nano-assembly in the mesoscale via bis(imino)pyridine molecular functionalization. Scientific Reports. 12(1). 844–844. 1 indexed citations
7.
Hratchian, Hrant P., et al.. (2022). Enhanced Reactivity for Aromatic Bromination via Halogen Bonding with Lactic Acid Derivatives. The Journal of Organic Chemistry. 87(13). 8492–8502. 13 indexed citations
8.
Zhou, Jenny, Tiziana Bond, Lars F. Voss, et al.. (2021). Plasmonics-Enhanced UV Photocatalytic Water Purification. The Journal of Physical Chemistry C. 125(18). 9730–9735. 8 indexed citations
9.
Ghosh, Sayantani, et al.. (2020). Modeling broadband cloaking using 3D nano-assembled plasmonic meta-structures. Optics Express. 28(15). 22732–22732. 4 indexed citations
10.
Baxter, Ryan D., et al.. (2019). Progress towards metal-free radical alkylations of quinones under mild conditions. Tetrahedron. 75(46). 130665–130665. 4 indexed citations
11.
Ngoc, Duy, et al.. (2017). Silver-Catalyzed Minisci Reactions Using Selectfluor as a Mild Oxidant. Organic Letters. 19(21). 5772–5775. 99 indexed citations
12.
Ngoc, Duy & Ryan D. Baxter. (2017). Experimental Strategies for Controlling Radical Chain Reactions. Topics in Catalysis. 60(8). 580–588. 2 indexed citations
13.
Ngoc, Duy & Ryan D. Baxter. (2016). Unprotected Amino Acids as Stable Radical Precursors for Heterocycle C–H Functionalization. Organic Letters. 18(15). 3738–3741. 61 indexed citations
14.
O’Hara, Fionn, Ryan D. Baxter, Alexander G. O’Brien, et al.. (2013). Preparation and purification of zinc sulfinate reagents for drug discovery. Nature Protocols. 8(6). 1042–1047. 60 indexed citations
15.
Baxter, Ryan D. & Donna G. Blackmond. (2013). In situ kinetic studies of the trifluoromethylation of caffeine with Zn(SO2CF3)2. Tetrahedron. 69(27-28). 5604–5608. 17 indexed citations
16.
Fujiwara, Yuta, Fionn O’Hara, Erik Daa Funder, et al.. (2012). Practical and innate carbon–hydrogen functionalization of heterocycles. Nature. 492(7427). 95–99. 813 indexed citations breakdown →
17.
Fujiwara, Yuta, Rodrigo A. Rodriguez, Ryan D. Baxter, et al.. (2012). A New Reagent for Direct Difluoromethylation. Journal of the American Chemical Society. 134(3). 1494–1497. 544 indexed citations breakdown →
18.
Ji, Yining, Ryan D. Baxter, Yuta Fujiwara, et al.. (2011). Innate C-H trifluoromethylation of heterocycles. Proceedings of the National Academy of Sciences. 108(35). 14411–14415. 663 indexed citations breakdown →
19.
Brückl, Tobias, Ryan D. Baxter, Yoshihiro Ishihara, & Phil S. Baran. (2011). Innate and Guided C–H Functionalization Logic. Accounts of Chemical Research. 45(6). 826–839. 482 indexed citations breakdown →
20.
Baxter, Ryan D. & John Montgomery. (2008). Dehydrogenative Cyclocondensation of Aldehydes, Alkynes, and Dialkylsilanes. Journal of the American Chemical Society. 130(30). 9662–9663. 48 indexed citations

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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