Daniel L. Silverio

43 total papers · 769 total citations
13 papers, 673 citations indexed

About

Daniel L. Silverio is a scholar working on Organic Chemistry, Molecular Biology and Spectroscopy. According to data from OpenAlex, Daniel L. Silverio has authored 13 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organic Chemistry, 3 papers in Molecular Biology and 3 papers in Spectroscopy. Recurrent topics in Daniel L. Silverio's work include Asymmetric Synthesis and Catalysis (7 papers), Organoboron and organosilicon chemistry (4 papers) and Advanced NMR Techniques and Applications (3 papers). Daniel L. Silverio is often cited by papers focused on Asymmetric Synthesis and Catalysis (7 papers), Organoboron and organosilicon chemistry (4 papers) and Advanced NMR Techniques and Applications (3 papers). Daniel L. Silverio collaborates with scholars based in United States, Switzerland and France. Daniel L. Silverio's co-authors include Amir H. Hoveyda, Sebastian Torker, Fredrik Hæffner, Farid W. van der Mei, Marc L. Snapper, Daniel Robbins, Tatiana Pilyugina, Erika M. Vieira, Hiroshi Miyamoto and Pierrick Berruyer and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Daniel L. Silverio

13 papers receiving 668 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel L. Silverio 473 205 169 122 109 13 673
Henri A. van Kalkeren 504 1.1× 222 1.1× 137 0.8× 128 1.0× 181 1.7× 11 690
Joakim Sandström 359 0.8× 109 0.5× 276 1.6× 158 1.3× 130 1.2× 23 777
E. Price 371 0.8× 128 0.6× 165 1.0× 67 0.5× 46 0.4× 13 574
Douglas W. Elliott 220 0.5× 185 0.9× 229 1.4× 210 1.7× 81 0.7× 20 598
M. Reinhold 382 0.8× 185 0.9× 215 1.3× 103 0.8× 25 0.2× 16 671
Emile Kuntz 436 0.9× 251 1.2× 97 0.6× 138 1.1× 76 0.7× 16 638
Paolo Cerreia Vioglio 143 0.3× 102 0.5× 165 1.0× 425 3.5× 62 0.6× 17 684
Daniel S. Trifan 490 1.0× 83 0.4× 179 1.1× 89 0.7× 48 0.4× 16 756
P. E. RAKITA 546 1.2× 298 1.5× 92 0.5× 98 0.8× 34 0.3× 26 709
Ryan A. Olsen 193 0.4× 118 0.6× 247 1.5× 191 1.6× 87 0.8× 11 556

Countries citing papers authored by Daniel L. Silverio

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Silverio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Silverio. 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 Daniel L. Silverio. The network helps show where Daniel L. Silverio may publish in the future.

Co-authorship network of co-authors of Daniel L. Silverio

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel L. Silverio. A scholar is included among the top collaborators of Daniel L. Silverio 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 Daniel L. Silverio. Daniel L. Silverio 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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