Jamie C. Snyder

30 total papers · 1.1k total citations
24 papers, 816 citations indexed

About

Jamie C. Snyder is a scholar working on Ecology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Jamie C. Snyder has authored 24 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, 14 papers in Molecular Biology and 9 papers in Infectious Diseases. Recurrent topics in Jamie C. Snyder's work include Bacteriophages and microbial interactions (22 papers), Viral gastroenteritis research and epidemiology (9 papers) and Genomics and Phylogenetic Studies (7 papers). Jamie C. Snyder is often cited by papers focused on Bacteriophages and microbial interactions (22 papers), Viral gastroenteritis research and epidemiology (9 papers) and Genomics and Phylogenetic Studies (7 papers). Jamie C. Snyder collaborates with scholars based in United States, Russia and Canada. Jamie C. Snyder's co-authors include Mark Young, Blake Wiedenheft, Susan K. Brumfield, Kenneth M. Stedman, Trevor Douglas, Benjamin Bolduc, Francisco F. Roberto, Matt Lavin, Timothy R. McDermott and Jacob Munson-McGee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and Journal of Virology.

In The Last Decade

Jamie C. Snyder

23 papers receiving 807 citations

Author Peers

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

Author						Papers	Cites
Jamie C. Snyder	645	511	226	181	107	24	816
Virginija Cvirkaitė‐Krupovič	555 0.9×	483 0.9×	168 0.7×	101 0.6×	149 1.4×	35	831
Stacy D. Benson	531 0.8×	397 0.8×	199 0.9×	146 0.8×	197 1.8×	14	901
Monica Einav	378 0.6×	480 0.9×	127 0.6×	106 0.6×	228 2.1×	28	944
Jingen Zhu	478 0.7×	517 1.0×	155 0.7×	140 0.8×	132 1.2×	25	792
Juliana R. Cortines	413 0.6×	457 0.9×	132 0.6×	126 0.7×	75 0.7×	34	853
Javier Caldentey	599 0.9×	531 1.0×	107 0.5×	122 0.7×	259 2.4×	24	789
Yoshio Inokuchi	332 0.5×	585 1.1×	173 0.8×	82 0.5×	257 2.4×	27	882
Andrea Didier	219 0.3×	689 1.3×	129 0.6×	114 0.6×	128 1.2×	41	970
Marie-Luise Eschbach	348 0.5×	520 1.0×	70 0.3×	114 0.6×	252 2.4×	29	1.0k
Stefanie Barbirz	667 1.0×	510 1.0×	91 0.4×	129 0.7×	157 1.5×	30	960

Countries citing papers authored by Jamie C. Snyder

Since Specialization

Citations

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

Fields of papers citing papers by Jamie C. Snyder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie C. Snyder. 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 Jamie C. Snyder. The network helps show where Jamie C. Snyder may publish in the future.

Co-authorship network of co-authors of Jamie C. Snyder

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie C. Snyder. A scholar is included among the top collaborators of Jamie C. Snyder 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 Jamie C. Snyder. Jamie C. Snyder 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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