P.J. Carney

3.5k total citations
37 papers, 1.5k citations indexed

About

P.J. Carney is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, P.J. Carney has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Epidemiology, 11 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in P.J. Carney's work include Influenza Virus Research Studies (35 papers), Respiratory viral infections research (25 papers) and Immune Response and Inflammation (7 papers). P.J. Carney is often cited by papers focused on Influenza Virus Research Studies (35 papers), Respiratory viral infections research (25 papers) and Immune Response and Inflammation (7 papers). P.J. Carney collaborates with scholars based in United States, Kenya and Japan. P.J. Carney's co-authors include James Stevens, Hua Yang, Julie Villanueva, Jessie Chang, Rubén O. Donis, Zhu Guo, Terrence M. Tumpey, Jacqueline M. Katz, Claudia Pappas and Li-Mei Chen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

P.J. Carney

37 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P.J. Carney United States 21 1.4k 432 406 330 295 37 1.5k
И. А. Руднева Russia 17 1.2k 0.9× 379 0.9× 421 1.0× 322 1.0× 232 0.8× 66 1.2k
S. S. Yamnikova Russia 14 1.1k 0.8× 394 0.9× 473 1.2× 258 0.8× 220 0.7× 24 1.2k
Chairul A. Nidom Indonesia 19 1.0k 0.7× 417 1.0× 318 0.8× 348 1.1× 348 1.2× 50 1.4k
Nikolai V. Bovin Russia 7 940 0.7× 328 0.8× 391 1.0× 263 0.8× 198 0.7× 8 1.1k
Brad Gilbertson Australia 16 800 0.6× 300 0.7× 111 0.3× 340 1.0× 463 1.6× 30 1.2k
Anthony Hanson Japan 4 1.1k 0.8× 470 1.1× 464 1.1× 280 0.8× 201 0.7× 4 1.2k
K. Nerome Japan 22 1.2k 0.9× 351 0.8× 309 0.8× 377 1.1× 243 0.8× 61 1.5k
Bert E. Johansson United States 24 1.6k 1.2× 360 0.8× 286 0.7× 327 1.0× 473 1.6× 39 1.8k
Robert G. Webster United States 15 1.3k 1.0× 517 1.2× 581 1.4× 400 1.2× 344 1.2× 16 1.7k
Aleksandr S. Lipatov United States 21 1.7k 1.2× 704 1.6× 745 1.8× 294 0.9× 560 1.9× 25 2.0k

Countries citing papers authored by P.J. Carney

Since Specialization
Citations

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

Fields of papers citing papers by P.J. Carney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.J. Carney

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

All Works

20 of 20 papers shown
1.
Jung, Yu‐Jin, Stacie Jefferson, Crystal Holiday, et al.. (2025). Pre-existing cross-reactive immunity to highly pathogenic avian influenza 2.3.4.4b A(H5N1) virus in the United States. Nature Communications. 16(1). 10954–10954. 2 indexed citations
2.
Sun, Xiangjie, Jessica A. Belser, Nicole Brock, et al.. (2025). Effect of Prior Influenza A(H1N1)pdm09 Virus Infection on Pathogenesis and Transmission of Human Influenza A(H5N1) Clade 2.3.4.4b Virus in Ferret Model. Emerging infectious diseases. 31(3). 458–466. 3 indexed citations
3.
Pulit-Penaloza, Joanna A., Jessica A. Belser, Nicole Brock, et al.. (2024). Transmission of a human isolate of clade 2.3.4.4b A(H5N1) virus in ferrets. Nature. 636(8043). 705–710. 30 indexed citations
4.
5.
Yang, Hua, P.J. Carney, Jessie Chang, & James Stevens. (2020). Molecular characterization and three-dimensional structures of avian H8, H11, H14, H15 and swine H4 influenza virus hemagglutinins. Heliyon. 6(6). e04068–e04068. 8 indexed citations
6.
Carney, P.J., Natalie Larionova, Irina Kiseleva, et al.. (2019). Evaluation of A(H1N1)pdm09 LAIV vaccine candidates stability and replication efficiency in primary human nasal epithelial cells. Vaccine X. 2. 100031–100031. 11 indexed citations
7.
8.
Trost, Jessica F., Feng Liu, P.J. Carney, et al.. (2018). Development of a high-throughput assay to detect antibody inhibition of low pH induced conformational changes of influenza virus hemagglutinin. PLoS ONE. 13(6). e0199683–e0199683. 5 indexed citations
9.
10.
Wilson, Jason R., Zhu Guo, A. Reber, et al.. (2016). An influenza A virus (H7N9) anti-neuraminidase monoclonal antibody with prophylactic and therapeutic activity in vivo. Antiviral Research. 135. 48–55. 32 indexed citations
11.
Yang, Hua, P.J. Carney, Jessie Chang, et al.. (2015). Structure and receptor binding preferences of recombinant human A(H3N2) virus hemagglutinins. Virology. 477. 18–31. 90 indexed citations
12.
Wan, Hongquan, Hua Yang, D.A. Shore, et al.. (2015). Structural characterization of a protective epitope spanning A(H1N1)pdm09 influenza virus neuraminidase monomers. Nature Communications. 6(1). 6114–6114. 78 indexed citations
13.
Pappas, Claudia, Hua Yang, P.J. Carney, et al.. (2015). Assessment of transmission, pathogenesis and adaptation of H2 subtype influenza viruses in ferrets. Virology. 477. 61–71. 28 indexed citations
14.
Carney, P.J., Seh‐Ching Lin, Ji Li, et al.. (2014). Improved specificity and reduced subtype cross-reactivity for antibody detection by ELISA using globular head domain recombinant hemagglutinin. Journal of Virological Methods. 209. 121–125. 7 indexed citations
15.
Mishin, Vasiliy P., et al.. (2013). The effect of the MDCK cell selected neuraminidase D151G mutation on the drug susceptibility assessment of influenza A(H3N2) viruses. Antiviral Research. 101. 93–96. 27 indexed citations
16.
Belser, Jessica A., Kortney M. Gustin, Melissa B. Pearce, et al.. (2013). Pathogenesis and transmission of avian influenza A (H7N9) virus in ferrets and mice. Nature. 501(7468). 556–559. 256 indexed citations
17.
Zhu, Xueyong, Hua Yang, Zhu Guo, et al.. (2012). Crystal structures of two subtype N10 neuraminidase-like proteins from bat influenza A viruses reveal a diverged putative active site. Proceedings of the National Academy of Sciences. 109(46). 18903–18908. 95 indexed citations
18.
Chen, Li-Mei, Pierre Rivailler, Jaber Hossain, et al.. (2011). Receptor specificity of subtype H1 influenza A viruses isolated from swine and humans in the United States. Virology. 412(2). 401–410. 59 indexed citations
19.
Yang, Hua, Li-Mei Chen, P.J. Carney, Rubén O. Donis, & James Stevens. (2010). Structures of Receptor Complexes of a North American H7N2 Influenza Hemagglutinin with a Loop Deletion in the Receptor Binding Site. PLoS Pathogens. 6(9). e1001081–e1001081. 91 indexed citations
20.
Yang, Hua, P.J. Carney, & James Stevens. (2010). Structure and Receptor binding properties of a pandemic H1N1 virus hemagglutinin. PLoS Currents. 2. RRN1152–RRN1152. 117 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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