Darryl D. Dixon

44 total papers · 3.4k total citations
23 papers, 2.5k citations indexed

About

Darryl D. Dixon is a scholar working on Organic Chemistry, Molecular Biology and Pharmacology. According to data from OpenAlex, Darryl D. Dixon has authored 23 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Organic Chemistry, 6 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Darryl D. Dixon's work include Coordination Chemistry and Organometallics (4 papers), Chemical Synthesis and Analysis (4 papers) and Chemical Synthesis and Reactions (4 papers). Darryl D. Dixon is often cited by papers focused on Coordination Chemistry and Organometallics (4 papers), Chemical Synthesis and Analysis (4 papers) and Chemical Synthesis and Reactions (4 papers). Darryl D. Dixon collaborates with scholars based in United States, France and Canada. Darryl D. Dixon's co-authors include Phil S. Baran, Yuta Fujiwara, Rodrigo A. Rodriguez, Ryan D. Baxter, Michael R. Collins, Jonathan W. Lockner, Donna G. Blackmond, Erik Daa Funder, Fionn O’Hara and Yoshihiro Ishihara and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Darryl D. Dixon

22 papers receiving 2.5k citations

Hit Papers

Practical and innate carb... 2012 2026 2016 2021 2012 2012 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Darryl D. Dixon 1.9k 994 531 293 108 23 2.5k
Yuji Sumii 1.3k 0.7× 1.3k 1.3× 492 0.9× 291 1.0× 87 0.8× 52 2.0k
Yoshihiro Ishihara 2.8k 1.5× 671 0.7× 527 1.0× 525 1.8× 229 2.1× 57 3.8k
Jin‐Shun Lin 1.4k 0.7× 633 0.6× 383 0.7× 307 1.0× 64 0.6× 36 1.9k
Björn Wagner 1.8k 0.9× 897 0.9× 279 0.5× 1.1k 3.6× 194 1.8× 50 2.9k
Kyle J. Eastman 2.3k 1.2× 2.0k 2.0× 616 1.2× 599 2.0× 145 1.3× 11 3.2k
Christophe Génicot 1.6k 0.8× 988 1.0× 388 0.7× 399 1.4× 51 0.5× 39 2.3k
David Hesk 833 0.4× 1.4k 1.4× 833 1.6× 696 2.4× 74 0.7× 79 2.6k
Chris V. Galliford 3.2k 1.7× 229 0.2× 359 0.7× 710 2.4× 113 1.0× 14 3.8k
Matthew Tredwell 1.9k 1.0× 2.2k 2.2× 824 1.6× 619 2.1× 50 0.5× 52 3.3k
Qingjiang Li 3.8k 2.0× 890 0.9× 625 1.2× 491 1.7× 89 0.8× 135 4.2k

Countries citing papers authored by Darryl D. Dixon

Since Specialization
Citations

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

Fields of papers citing papers by Darryl D. Dixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darryl D. Dixon

This figure shows the co-authorship network connecting the top 25 collaborators of Darryl D. Dixon. A scholar is included among the top collaborators of Darryl D. Dixon 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 Darryl D. Dixon. Darryl D. Dixon 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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