Jay R. Silveira

1.6k citations
15 papers · 1.2k indexed · 1 hit paper · h-index 11
Topics
Prion Diseases and Protein Misfolding (6 papers)Blood Coagulation and Thrombosis Mechanisms (6 papers)Trace Elements in Health (5 papers)
Partner nations
United StatesItaly

In The Last Decade

Jay R. Silveira

14 papers receiving 1.2k citations

Hit Papers

The most infectious prion protein particles20052026201220192005200400600

Peers

Jay R. Silveira
Comparison fields: 5 of 91
  • Molecular Biology 880
  • Neurology 390
  • Nutrition and Dietetics 342
  • Physiology 255
  • Hematology 192
Replace Tatjana Simonic with:
Tatjana Simonic Italy
Peter D. Buckett United States
Carolina Braga Brazil
Heino Diringer Germany
Stanley B. Prusiner United States
Åke Sidén Sweden
Julian R. Smith United States
Graham B. Bloomberg United Kingdom
Hisatoshi Hanamatsu Japan
Wenfang Xu China
Jay R. Silveira relative to Tatjana Simonic Italy Tatjana Simonic's profile →
Citations per field
00.5×
Tatjana Simonic · 1×
Citations per year

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

15 of 15 papers shown
#WorkIndexed citations
1 0
2 11
3 53
4 8
5 56
6 21
7 1
8 52
9
The most infectious prion protein particlesbreakdown →
717
10 50
11 18
12 68
13 101
14 8
15 38

About Jay R. Silveira

Jay R. Silveira is a scholar working on Hematology, Neurology and Filtration and Separation, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (6 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers) and Trace Elements in Health (5 papers). The work is most often cited by research in Neurology (390 citations), Nutrition and Dietetics (342 citations) and Hematology (192 citations). Jay R. Silveira has collaborated with scholars based in United States and Italy. Frequent co-authors include Byron Caughey, Gregory J. Raymond, Andrew G. Hughson, Stanley F. Hayes, Valerie L. Sim, Richard Race, Paula B. Tracy, Gerald S. Baron, Michael Kalafatis and Lynne D. Raymond. Their work appears in journals such as Nature, Journal of Biological Chemistry and Accounts of Chemical Research.

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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