John Pyles

682 total citations
7 papers, 556 citations indexed

About

John Pyles is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, John Pyles has authored 7 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Infectious Diseases and 4 papers in Immunology. Recurrent topics in John Pyles's work include Influenza Virus Research Studies (5 papers), Viral gastroenteritis research and epidemiology (2 papers) and interferon and immune responses (2 papers). John Pyles is often cited by papers focused on Influenza Virus Research Studies (5 papers), Viral gastroenteritis research and epidemiology (2 papers) and interferon and immune responses (2 papers). John Pyles collaborates with scholars based in United States, Australia and Canada. John Pyles's co-authors include Kevin S. Harrod, Robert C. Layton, Patrick J. Sabourin, Adolfo Garcı́a-Sastre, James P. Long, Randy A. Albrecht, Michael G. Katze, Helle Bielefeldt‐Ohmann, Carol L. Sabourin and Terrence M. Tumpey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

John Pyles

7 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Pyles United States	7	360	298	115	113	60	7	556
Daisuke Tamura Japan	10	512 1.4×	119 0.4×	164 1.4×	140 1.2×	55 0.9×	34	653
Laura Aschenbrenner United States	8	357 1.0×	121 0.4×	116 1.0×	120 1.1×	27 0.5×	10	510
Suki M. Y. Lee Hong Kong	5	305 0.8×	387 1.3×	114 1.0×	100 0.9×	37 0.6×	6	556
Cristian Cillóniz United States	9	404 1.1×	320 1.1×	142 1.2×	95 0.8×	38 0.6×	10	584
Hui-Ting Ho Australia	10	306 0.8×	158 0.5×	121 1.1×	107 0.9×	70 1.2×	15	466
Danielle Tilmanis Australia	11	353 1.0×	138 0.5×	163 1.4×	98 0.9×	23 0.4×	13	501
Rebecca Revol Switzerland	4	276 0.8×	122 0.4×	99 0.9×	144 1.3×	26 0.4×	8	413
Sanjay Mukherjee India	13	92 0.3×	141 0.5×	52 0.5×	129 1.1×	24 0.4×	31	373
Suki Man-Yan Lee Hong Kong	10	265 0.7×	256 0.9×	136 1.2×	110 1.0×	26 0.4×	15	501
Mario Tönnies Germany	9	236 0.7×	119 0.4×	125 1.1×	101 0.9×	69 1.1×	16	496

Countries citing papers authored by John Pyles

Since Specialization

Citations

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

Fields of papers citing papers by John Pyles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Pyles. 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 John Pyles. The network helps show where John Pyles may publish in the future.

Co-authorship network of co-authors of John Pyles

This figure shows the co-authorship network connecting the top 25 collaborators of John Pyles. A scholar is included among the top collaborators of John Pyles 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 John Pyles. John Pyles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

Pyles, John, et al.. (2012). Neurovirulence of H5N1 Infection in Ferrets Is Mediated by Multifocal Replication in Distinct Permissive Neuronal Cell Regions. PLoS ONE. 7(10). e46605–e46605. 40 indexed citations

Layton, Robert C., Nikolai Petrovsky, Andrew P. Gigliotti, et al.. (2011). Delta inulin polysaccharide adjuvant enhances the ability of split-virion H5N1 vaccine to protect against lethal challenge in ferrets. Vaccine. 29(37). 6242–6251. 53 indexed citations

Layton, Robert C., Andrew P. Gigliotti, J Knight, et al.. (2011). Enhanced Immunogenicity, Mortality Protection, and Reduced Viral Brain Invasion by Alum Adjuvant with an H5N1 Split-Virion Vaccine in the Ferret. PLoS ONE. 6(6). e20641–e20641. 15 indexed citations

Baskin, Cleo, Terrence M. Tumpey, Patrick J. Sabourin, et al.. (2010). Extrapulmonary tissue responses in cynomolgus macaques (Macaca fascicularis) infected with highly pathogenic avian influenza A (H5N1) virus. Archives of Virology. 155(6). 905–914. 28 indexed citations

Mitchell, Hugh, Stephanie Forrest, Catherine A. A. Beauchemin, et al.. (2010). Higher Level of Replication Efficiency of 2009 (H1N1) Pandemic Influenza Virus than Those of Seasonal and Avian Strains: Kinetics from Epithelial Cell Culture and Computational Modeling. Journal of Virology. 85(2). 1125–1135. 60 indexed citations

Baskin, Carole R., Helle Bielefeldt‐Ohmann, Terrence M. Tumpey, et al.. (2009). Early and sustained innate immune response defines pathology and death in nonhuman primates infected by highly pathogenic influenza virus. Proceedings of the National Academy of Sciences. 106(9). 3455–3460. 294 indexed citations

Dakappagari, Naveen, John Pyles, Robin Parihar, et al.. (2003). A Chimeric Multi-Human Epidermal Growth Factor Receptor-2 B Cell Epitope Peptide Vaccine Mediates Superior Antitumor Responses. The Journal of Immunology. 170(8). 4242–4253. 66 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.

Explore authors with similar magnitude of impact