Ryan G. Keddy

14 total papers · 549 total citations
6 papers, 312 citations indexed

About

Ryan G. Keddy is a scholar working on Sensory Systems, Complementary and alternative medicine and Organic Chemistry. According to data from OpenAlex, Ryan G. Keddy has authored 6 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Sensory Systems, 3 papers in Complementary and alternative medicine and 2 papers in Organic Chemistry. Recurrent topics in Ryan G. Keddy's work include Herbal Medicine Research Studies (3 papers), Ion Channels and Receptors (3 papers) and Pain Mechanisms and Treatments (2 papers). Ryan G. Keddy is often cited by papers focused on Herbal Medicine Research Studies (3 papers), Ion Channels and Receptors (3 papers) and Pain Mechanisms and Treatments (2 papers). Ryan G. Keddy collaborates with scholars based in United States, Canada and Belgium. Ryan G. Keddy's co-authors include Michael A. Kerr, Dylan B. England, Prisca Honoré, Connie R. Faltynek, John R. Koenig, Kennan C. Marsh, Heath A. McDonald, Carol S. Surowy, Bruce R. Bianchi and Brian S. Brown and has published in prestigious journals such as Analytical Chemistry, The Journal of Organic Chemistry and Tetrahedron Letters.

In The Last Decade

Ryan G. Keddy

6 papers receiving 309 citations

Author Peers

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

Author						Papers	Cites
Ryan G. Keddy	267	35	28	22	21	6	312
Chih‐Hung Lee	164 0.6×	69 2.0×	29 1.0×	64 2.9×	11 0.5×	13	288
Mark A. Hilfiker	228 0.9×	37 1.1×	51 1.8×	65 3.0×	4 0.2×	12	307
Shimin Xu	141 0.5×	39 1.1×	7 0.3×	78 3.5×	14 0.7×	13	248
Tram H. Hoang	166 0.6×	38 1.1×	45 1.6×	86 3.9×	3 0.1×	11	307
Jiawang Zhu	174 0.7×	96 2.7×	26 0.9×	48 2.2×	8 0.4×	10	319
Vu Ma	147 0.6×	44 1.3×	8 0.3×	84 3.8×	5 0.2×	5	215
John R. Koenig	133 0.5×	98 2.8×	21 0.8×	60 2.7×	18 0.9×	10	291
Yong‐Sil Lee	190 0.7×	21 0.6×	12 0.4×	74 3.4×	2 0.1×	12	290
Graham C. Bloomfield	65 0.2×	53 1.5×	6 0.2×	83 3.8×	10 0.5×	6	234
Irene Drizin	192 0.7×	36 1.0×	16 0.6×	131 6.0×	4 0.2×	13	363

Countries citing papers authored by Ryan G. Keddy

Since Specialization

Citations

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

Fields of papers citing papers by Ryan G. Keddy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan G. Keddy

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan G. Keddy. A scholar is included among the top collaborators of Ryan G. Keddy 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 G. Keddy. Ryan G. Keddy 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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