Jay R. Silveira

1.6k total citations · 1 hit paper
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 Prion Diseases and Protein Misfolding (6 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers) and Trace Elements in Health (5 papers). Jay R. Silveira is often cited by papers focused on Prion Diseases and Protein Misfolding (6 papers), Blood Coagulation and Thrombosis Mechanisms (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, Richard Race, Stanley F. Hayes, Valerie L. Sim, 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

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The most infectious prion protein particles

2005 717 citations Jay R. Silveira, Gregory J. Raymond et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jay R. Silveira United States	11	880	390	342	255	192	15	1.2k
Tatjana Simonic Italy	16	545 0.6×	189 0.5×	183 0.5×	78 0.3×	65 0.3×	30	794
Carolina Braga Brazil	10	370 0.4×	53 0.1×	35 0.1×	149 0.6×	30 0.2×	16	600
Peter D. Buckett United States	22	524 0.6×	24 0.1×	210 0.6×	50 0.2×	235 1.2×	25	996
Stanley B. Prusiner United States	14	1.5k 1.7×	800 2.1×	643 1.9×	144 0.6×	7 0.0×	16	1.7k
Heino Diringer Germany	15	614 0.7×	152 0.4×	200 0.6×	53 0.2×	14 0.1×	28	735
Åke Sidén Sweden	17	391 0.4×	70 0.2×	34 0.1×	71 0.3×	12 0.1×	41	832
Ludovic D’Auria Belgium	17	525 0.6×	26 0.1×	48 0.1×	270 1.1×	38 0.2×	23	805
Julian R. Smith United States	11	356 0.4×	162 0.4×	17 0.0×	51 0.2×	17 0.1×	26	694
G. G. Glenner United States	11	881 1.0×	51 0.1×	87 0.3×	537 2.1×	6 0.0×	16	1.2k
Charlotta Movitz Sweden	17	450 0.5×	33 0.1×	26 0.1×	95 0.4×	36 0.2×	25	767

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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15 of 15 papers shown

Nguyen, Kenny, Jay R. Silveira, & Karen M. Lounsbury. (2024). Use of Integrated Metabolic Maps as a Framework for Teaching Biochemical Pathways in the Pre-clinical Medical Curriculum. Medical Science Educator. 34(4). 815–821.

Silveira, Jay R., et al.. (2021). Total Retention Liquid Chromatography–Mass Spectrometry to Achieve Maximum Protein Sequence Coverage. Analytical Chemistry. 93(12). 5054–5060. 11 indexed citations

Wood, Jeremy P., et al.. (2010). Prothrombin activation on the activated platelet surface optimizes expression of procoagulant activity. Blood. 117(5). 1710–1718. 53 indexed citations

Wood, Jeremy P., et al.. (2008). Platelet-Derived Factor Va Expressed on the Surface of the Activated Platelet Is GPI-Anchored. Blood. 112(11). 585–585. 8 indexed citations

Caughey, Byron, et al.. (2006). Prions and Transmissible Spongiform Encephalopathy (TSE) Chemotherapeutics: A Common Mechanism for anti‐TSE Compounds?. ChemInform. 37(49). 1 indexed citations

DeMarco, Mari L., Jay R. Silveira, Byron Caughey, & Valerie Daggett. (2006). Structural Properties of Prion Protein Protofibrils and Fibrils: An Experimental Assessment of Atomic Models. Biochemistry. 45(51). 15573–15582. 56 indexed citations

Silveira, Jay R., Andrew G. Hughson, & Byron Caughey. (2006). Fractionation of Prion Protein Aggregates by Asymmetrical Flow Field‐Flow Fractionation. Methods in enzymology on CD-ROM/Methods in enzymology. 21–33. 21 indexed citations

Caughey, Byron, et al.. (2006). Prions and Transmissible Spongiform Encephalopathy (TSE) Chemotherapeutics: A Common Mechanism for Anti-TSE Compounds?. Accounts of Chemical Research. 39(9). 646–653. 52 indexed citations

Silveira, Jay R., Gregory J. Raymond, Andrew G. Hughson, et al.. (2005). The most infectious prion protein particles. Nature. 437(7056). 257–261. 717 indexed citations breakdown →

10.

Simioni, Paolo, et al.. (2005). Megakaryocytes endocytose and subsequently modify human factor V in vivo to form the entire pool of a unique platelet-derived cofactor. Journal of Thrombosis and Haemostasis. 3(3). 450–456. 50 indexed citations

11.

Silveira, Jay R., Byron Caughey, & Gerald S. Baron. (2004). Prion Protein and the Molecular Features of Transmissible Spongiform Encephalopathy Agents. Current topics in microbiology and immunology. 284. 1–50. 18 indexed citations

12.

Silveira, Jay R., et al.. (2004). Unique in Vivo Modifications of Coagulation Factor V Produce a Physically and Functionally Distinct Platelet-derived Cofactor. Journal of Biological Chemistry. 279(4). 2383–2393. 68 indexed citations

13.

Caughey, Byron, et al.. (2003). Inhibition of Protease-Resistant Prion Protein Accumulation In Vitro by Curcumin. Journal of Virology. 77(9). 5499–5502. 101 indexed citations

14.

Silveira, Jay R., Michael Kalafatis, & Paula B. Tracy. (2002). Carbohydrate Moieties on the Procofactor Factor V, but Not the Derived Cofactor Factor Va, Regulate Its Inactivation by Activated Protein C. Biochemistry. 41(5). 1672–1680. 8 indexed citations

15.

Xue, Jun, Michael Kalafatis, Jay R. Silveira, C Kung, & K G Mann. (1994). Determination of the disulfide bridges in factor Va heavy chain. Biochemistry. 33(44). 13109–13116. 38 indexed citations

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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