Richard Webby

514 total citations
10 papers, 177 citations indexed

About

Richard Webby is a scholar working on Epidemiology, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Richard Webby has authored 10 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 3 papers in Agronomy and Crop Science and 2 papers in Infectious Diseases. Recurrent topics in Richard Webby's work include Influenza Virus Research Studies (9 papers), Respiratory viral infections research (3 papers) and Animal Disease Management and Epidemiology (3 papers). Richard Webby is often cited by papers focused on Influenza Virus Research Studies (9 papers), Respiratory viral infections research (3 papers) and Animal Disease Management and Epidemiology (3 papers). Richard Webby collaborates with scholars based in United States, France and Kenya. Richard Webby's co-authors include Adam Rubrum, Lorne A. Babiuk, Richard A. Lerner, Mark Loeb, Michael Horowitz, Natalia A. Ilyushina, Evelyn Stigger, Thomas J. Marrie, Xu Li and Julia Keenliside and has published in prestigious journals such as Nature, Nucleic Acids Research and Clinical Infectious Diseases.

In The Last Decade

Richard Webby

9 papers receiving 172 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Webby United States 6 152 69 60 28 26 10 177
Hanzhong Ni China 11 222 1.5× 99 1.4× 104 1.7× 21 0.8× 50 1.9× 20 255
Ketaki Ganti United States 9 131 0.9× 46 0.7× 71 1.2× 43 1.5× 49 1.9× 13 210
Shamika Danzy United States 9 231 1.5× 100 1.4× 107 1.8× 54 1.9× 72 2.8× 14 300
Crystal Holiday United States 10 241 1.6× 84 1.2× 121 2.0× 60 2.1× 28 1.1× 19 276
Meng Hu Hong Kong 7 219 1.4× 84 1.2× 102 1.7× 44 1.6× 45 1.7× 8 257
Chuansong Quan China 9 168 1.1× 78 1.1× 125 2.1× 36 1.3× 31 1.2× 16 232
Yang Baoan China 4 102 0.7× 66 1.0× 160 2.7× 17 0.6× 21 0.8× 6 210
Jeri‐Carol Crumpton United States 7 240 1.6× 166 2.4× 99 1.6× 38 1.4× 24 0.9× 7 262
Ginger Geiger United States 10 195 1.3× 79 1.1× 98 1.6× 36 1.3× 64 2.5× 24 247
Jacqui Ralston New Zealand 6 88 0.6× 32 0.5× 28 0.5× 19 0.7× 19 0.7× 11 143

Countries citing papers authored by Richard Webby

Since Specialization
Citations

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

Fields of papers citing papers by Richard Webby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Webby

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

All Works

10 of 10 papers shown
1.
Goel, Varun, et al.. (2025). Ecological drivers of evolution of swine influenza in the United States: a review. Emerging Microbes & Infections. 14(1). 2455598–2455598. 3 indexed citations
2.
Poulson, Rebecca L., Adam Rubrum, Ahmed Kandeil, et al.. (2024). Earliest Detection of Highly Pathogenic Avian Influenza (H5) in Mississippi Flyway Wild Waterfowl, 2022. Avian Diseases. 68(4).
3.
Kumar, Gyanendra, et al.. (2020). Structural insights into the substrate specificity of the endonuclease activity of the influenza virus cap-snatching mechanism. Nucleic Acids Research. 49(3). 1609–1618. 16 indexed citations
4.
Byarugaba, Denis K., Monica Millard, Hannah Kibuuka, et al.. (2016). Whole‐genome analysis of influenza A(H1N1)pdm09 viruses isolated in Uganda from 2009 to 2011. Influenza and Other Respiratory Viruses. 10(6). 486–492. 7 indexed citations
5.
Hrincius, Eike R., Swantje Liedmann, David Finkelstein, et al.. (2014). Nonstructural Protein 1 (NS1)-Mediated Inhibition of c-Abl Results in Acute Lung Injury and Priming for Bacterial Co-infections: Insights Into 1918 H1N1 Pandemic?. The Journal of Infectious Diseases. 211(9). 1418–1428. 11 indexed citations
6.
Guan, Yi, Richard Webby, Ilaria Capua, & Jonas Waldenström. (2012). How to track a flu virus. Nature. 483(7391). 535–536. 10 indexed citations
7.
Forgie, Sarah, Julia Keenliside, Richard Webby, et al.. (2010). Swine Outbreak of Pandemic Influenza A Virus on a Canadian Research Farm Supports Human-to-Swine Transmission. Clinical Infectious Diseases. 52(1). 10–18. 70 indexed citations
8.
Kashyap, A.K., John Steel, Adam Rubrum, et al.. (2010). Protection from the 2009 H1N1 Pandemic Influenza by an Antibody from Combinatorial Survivor-Based Libraries. PLoS Pathogens. 6(7). e1000990–e1000990. 58 indexed citations
9.
Webster, R. G., Elena A. Govorkova, Hiroichi Ozaki, et al.. (2005). Evolution of H5N1 influenza viruses in Asia.. 1 indexed citations
10.
Zhang, Yun, et al.. (2004). Characterization of HA gene of caged pet birds H3N8 influenlza A Virts. Zhongguo yufang shouyi xuebao. 26(6). 420–423. 1 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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2026