Richard A. Silva

11 total papers · 1.1k total citations
8 papers, 943 citations indexed

About

Richard A. Silva is a scholar working on Organic Chemistry, Molecular Biology and Toxicology. According to data from OpenAlex, Richard A. Silva has authored 8 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Organic Chemistry, 4 papers in Molecular Biology and 2 papers in Toxicology. Recurrent topics in Richard A. Silva's work include Bioactive Compounds and Antitumor Agents (2 papers), ATP Synthase and ATPases Research (2 papers) and Sphingolipid Metabolism and Signaling (1 paper). Richard A. Silva is often cited by papers focused on Bioactive Compounds and Antitumor Agents (2 papers), ATP Synthase and ATPases Research (2 papers) and Sphingolipid Metabolism and Signaling (1 paper). Richard A. Silva collaborates with scholars based in United States. Richard A. Silva's co-authors include T. Ross Kelly, Yajun Zhao, Gordon W. Gribble, Mark G. Saulnier, Christopher G. F. Cooper, Sanjeev Katti, A. J. Bourque, Scott Clark, Jeffrey Wang and Dustin Y. Yoon and has published in prestigious journals such as Nature, Journal of the American Chemical Society and SHILAP Revista de lepidopterología.

In The Last Decade

Richard A. Silva

7 papers receiving 923 citations

Hit Papers

Unidirectional rotary mot... 1999 2026 2008 2017 1999 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Richard A. Silva 646 335 232 168 164 8 943
M.K.J.Ter Wiel 650 1.0× 451 1.3× 250 1.1× 261 1.6× 157 1.0× 20 1.1k
Loı̈c Mottier 865 1.3× 328 1.0× 274 1.2× 81 0.5× 184 1.1× 12 1.1k
Branden Brough 658 1.0× 487 1.5× 215 0.9× 118 0.7× 174 1.1× 17 1.1k
Paul A. Bonvallet 680 1.1× 651 1.9× 235 1.0× 103 0.6× 160 1.0× 17 1.2k
Nina P. M. Huck 446 0.7× 533 1.6× 251 1.1× 224 1.3× 81 0.5× 16 971
Monika Lubomska 537 0.8× 500 1.5× 195 0.8× 158 0.9× 177 1.1× 18 1.1k
Diederik Roke 533 0.8× 538 1.6× 173 0.7× 256 1.5× 89 0.5× 12 915
Nopporn Ruangsupapichat 477 0.7× 461 1.4× 145 0.6× 215 1.3× 117 0.7× 15 1.1k
Owen A. Matthews 543 0.8× 386 1.2× 232 1.0× 60 0.4× 309 1.9× 12 1.0k
Dirk Pijper 791 1.2× 456 1.4× 223 1.0× 237 1.4× 190 1.2× 15 1.1k

Countries citing papers authored by Richard A. Silva

Since Specialization
Citations

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

Fields of papers citing papers by Richard A. Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard A. Silva. 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 Richard A. Silva. The network helps show where Richard A. Silva may publish in the future.

Co-authorship network of co-authors of Richard A. Silva

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