Jay R. Silveira

18 total papers · 1.6k total citations
15 papers, 1.2k citations indexed

About

Jay R. Silveira is a scholar working on Molecular Biology, Hematology and Nutrition and Dietetics. According to data from OpenAlex, Jay R. Silveira has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Hematology and 5 papers in Nutrition and Dietetics. Recurrent topics in Jay R. Silveira's work include Blood Coagulation and Thrombosis Mechanisms (6 papers), Prion Diseases and Protein Misfolding (6 papers) and Trace Elements in Health (5 papers). Jay R. Silveira is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (6 papers), Prion Diseases and Protein Misfolding (6 papers) and Trace Elements in Health (5 papers). Jay R. Silveira collaborates with scholars based in United States and Italy. Jay R. Silveira's co-authors include Byron Caughey, Gregory J. Raymond, Andrew G. Hughson, Valerie L. Sim, Stanley F. Hayes, Richard Race, Paula B. Tracy, Gerald S. Baron, Michael Kalafatis and Lynne D. Raymond and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Accounts of Chemical Research.

In The Last Decade

Jay R. Silveira

14 papers receiving 1.2k citations

Hit Papers

The most infectious prion... 2005 2026 2012 2019 2005 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
Jay R. Silveira 880 390 342 255 192 15 1.2k
Laurence Descamps 375 0.4× 367 0.9× 179 0.5× 96 0.4× 66 0.3× 15 1.1k
Annick Pierce 466 0.5× 100 0.3× 397 1.2× 138 0.5× 40 0.2× 15 1.1k
Jun-Bao Fan 661 0.8× 66 0.2× 117 0.3× 278 1.1× 38 0.2× 29 1.2k
Veronica Fiorito 681 0.8× 59 0.2× 111 0.3× 159 0.6× 218 1.1× 22 1.1k
Takehiro Matsubara 603 0.7× 170 0.4× 77 0.2× 124 0.5× 25 0.1× 25 1.1k
Duane D. Winkler 819 0.9× 85 0.2× 219 0.6× 145 0.6× 21 0.1× 27 1.3k
Yingxin Zhuang 348 0.4× 107 0.3× 120 0.4× 187 0.7× 31 0.2× 19 994
Lauren Mifflin 784 0.9× 209 0.5× 49 0.1× 210 0.8× 14 0.1× 11 1.2k
Duraiswamy Navaneetham 578 0.7× 67 0.2× 38 0.1× 101 0.4× 93 0.5× 24 938
Sarah Garrido‐Urbani 607 0.7× 160 0.4× 34 0.1× 170 0.7× 31 0.2× 22 1.3k

Countries citing papers authored by Jay R. Silveira

Since Specialization
Citations

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

Fields of papers citing papers by Jay R. Silveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay R. Silveira. 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 Jay R. Silveira. The network helps show where Jay R. Silveira may publish in the future.

Co-authorship network of co-authors of Jay R. Silveira

This figure shows the co-authorship network connecting the top 25 collaborators of Jay R. Silveira. A scholar is included among the top collaborators of Jay R. Silveira 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 Jay R. Silveira. Jay R. Silveira 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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