Ryan P. Irving

412 total citations
8 papers, 270 citations indexed

About

Ryan P. Irving is a scholar working on Infectious Diseases, Epidemiology and Parasitology. According to data from OpenAlex, Ryan P. Irving has authored 8 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Epidemiology and 3 papers in Parasitology. Recurrent topics in Ryan P. Irving's work include Influenza Virus Research Studies (4 papers), Respiratory viral infections research (3 papers) and Viral Infections and Vectors (3 papers). Ryan P. Irving is often cited by papers focused on Influenza Virus Research Studies (4 papers), Respiratory viral infections research (3 papers) and Viral Infections and Vectors (3 papers). Ryan P. Irving collaborates with scholars based in United States, Australia and United Kingdom. Ryan P. Irving's co-authors include Jing Lü, Guoping Feng, Adi Mizrahi, Lawrence C Katz, James E. Crowe, Iuliia M. Gilchuk, Andrew B. Ward, PJ CANFIELD, Robin Bombardi and Pavlo Gilchuk and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Ryan P. Irving

8 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan P. Irving United States	7	123	96	76	50	44	8	270
Míriam Maria Silva Costa Brazil	9	305 2.5×	47 0.5×	78 1.0×	104 2.1×	64 1.5×	11	508
Michal Gaži United States	8	23 0.2×	110 1.1×	89 1.2×	56 1.1×	139 3.2×	16	355
Miriam Esgleas Spain	13	79 0.6×	150 1.6×	16 0.2×	75 1.5×	235 5.3×	14	562
Mary M. Patterson United States	13	48 0.4×	57 0.6×	30 0.4×	25 0.5×	110 2.5×	25	488
Sakar Shivakoti United States	8	167 1.4×	71 0.7×	27 0.4×	21 0.4×	97 2.2×	9	342
Aymeric Hans France	12	195 1.6×	119 1.2×	24 0.3×	39 0.8×	101 2.3×	34	448
Roland Riebe Germany	10	104 0.8×	77 0.8×	11 0.1×	82 1.6×	53 1.2×	26	363
Muralidhar Deshpande United States	11	150 1.2×	65 0.7×	19 0.3×	126 2.5×	96 2.2×	14	428
José Antônio Picanço Diniz Brazil	12	118 1.0×	132 1.4×	53 0.7×	64 1.3×	63 1.4×	42	438
Seiji Ihara Japan	12	206 1.7×	46 0.5×	64 0.8×	57 1.1×	169 3.8×	23	409

Countries citing papers authored by Ryan P. Irving

Since Specialization

Citations

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

Fields of papers citing papers by Ryan P. Irving

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan P. Irving. 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 Ryan P. Irving. The network helps show where Ryan P. Irving may publish in the future.

Co-authorship network of co-authors of Ryan P. Irving

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

All Works

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8 of 8 papers shown

Gilchuk, Iuliia M., Jinhui Dong, Ryan P. Irving, et al.. (2025). Pan-H7 influenza human antibody virus neutralization depends on avidity and steric hindrance. JCI Insight. 10(13). 1 indexed citations

Chaber, Anne‐Lise, et al.. (2022). Ehrlichia canisrapid spread and possible enzooty in northern South Australia and distribution of its vectorRhipicephalus linnaei. Australian Veterinary Journal. 100(11). 533–538. 9 indexed citations

Dong, Jinhui, Iuliia M. Gilchuk, Sheng Li, et al.. (2020). Anti–influenza H7 human antibody targets antigenic site in hemagglutinin head domain interface. Journal of Clinical Investigation. 130(9). 4734–4739. 16 indexed citations

Gilchuk, Iuliia M., Sandhya Bangaru, Pavlo Gilchuk, et al.. (2019). Influenza H7N9 Virus Neuraminidase-Specific Human Monoclonal Antibodies Inhibit Viral Egress and Protect from Lethal Influenza Infection in Mice. Cell Host & Microbe. 26(6). 715–728.e8. 44 indexed citations

Bangaru, Sandhya, H. Zhang, Iuliia M. Gilchuk, et al.. (2018). A multifunctional human monoclonal neutralizing antibody that targets a unique conserved epitope on influenza HA. Nature Communications. 9(1). 2669–2669. 75 indexed citations

Mizrahi, Adi, Jing Lü, Ryan P. Irving, Guoping Feng, & Lawrence C Katz. (2006). In vivo imaging of juxtaglomerular neuron turnover in the mouse olfactory bulb. Proceedings of the National Academy of Sciences. 103(6). 1912–1917. 52 indexed citations

CANFIELD, PJ, et al.. (2006). Detection of Anaplasma platys and Babesia canis vogeli and their impact on platelet numbers in free‐roaming dogs associated with remote Aboriginal communities in Australia. Australian Veterinary Journal. 84(9). 321–325. 53 indexed citations

Irving, Ryan P., et al.. (2000). Distribution ofEhrlichia chaffeensis(Rickettsiales: Rickettsiaeceae) inAmblyomma americanumin Southern Indiana and Prevalence ofE. chaffeensis-Reactive Antibodies in White-Tailed Deer in Indiana and Ohio in 1998. Journal of Medical Entomology. 37(4). 595–600. 20 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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