Peter Palese

66.3k total citations · 17 hit papers
450 papers, 49.7k citations indexed

About

Peter Palese is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Peter Palese has authored 450 papers receiving a total of 49.7k indexed citations (citations by other indexed papers that have themselves been cited), including 367 papers in Epidemiology, 162 papers in Immunology and 111 papers in Molecular Biology. Recurrent topics in Peter Palese's work include Influenza Virus Research Studies (325 papers), Respiratory viral infections research (203 papers) and interferon and immune responses (71 papers). Peter Palese is often cited by papers focused on Influenza Virus Research Studies (325 papers), Respiratory viral infections research (203 papers) and interferon and immune responses (71 papers). Peter Palese collaborates with scholars based in United States, Austria and Germany. Peter Palese's co-authors include Adolfo Garcı́a-Sastre, Florian Krammer, Anice C. Lowen, Christopher F. Basler, John Steel, Mark Krystal, Samira Mubareka, Jerome L. Schulman, Dmitriy Zamarin and Nicole M. Bouvier and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Peter Palese

446 papers receiving 48.1k citations

Hit Papers

Influenza Virus Transmiss... 1974 2026 1991 2008 2007 2018 2005 1998 2008 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Peter Palese 35.0k 16.7k 13.9k 13.0k 5.8k 450 49.7k
Adolfo Garcı́a-Sastre 28.8k 0.8× 24.5k 1.5× 17.8k 1.3× 13.0k 1.0× 5.5k 0.9× 641 53.9k
Yoshihiro Kawaoka 47.6k 1.4× 12.8k 0.8× 27.3k 2.0× 13.4k 1.0× 18.0k 3.1× 860 64.6k
Albert D. M. E. Osterhaus 40.9k 1.2× 13.8k 0.8× 34.5k 2.5× 8.3k 0.6× 10.4k 1.8× 1.0k 74.2k
Charles M. Rice 27.4k 0.8× 13.1k 0.8× 16.0k 1.2× 16.8k 1.3× 2.1k 0.4× 476 67.0k
Bernard Moss 27.1k 0.8× 16.2k 1.0× 10.1k 0.7× 21.8k 1.7× 1.8k 0.3× 821 66.8k
Ron A. M. Fouchier 30.2k 0.9× 8.0k 0.5× 25.7k 1.9× 6.5k 0.5× 10.9k 1.9× 462 48.0k
Robert G. Webster 59.8k 1.7× 13.4k 0.8× 26.5k 1.9× 12.6k 1.0× 28.9k 4.9× 811 73.4k
J.J. Skehel 20.6k 0.6× 7.1k 0.4× 7.8k 0.6× 15.5k 1.2× 2.6k 0.5× 256 34.1k
Yi Guan 27.5k 0.8× 6.6k 0.4× 26.4k 1.9× 6.7k 0.5× 13.6k 2.3× 371 49.8k
Robert A. Lamb 20.7k 0.6× 5.2k 0.3× 6.6k 0.5× 11.2k 0.9× 1.4k 0.2× 337 30.5k

Countries citing papers authored by Peter Palese

Since Specialization
Citations

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

Fields of papers citing papers by Peter Palese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Palese

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Palese. A scholar is included among the top collaborators of Peter Palese 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 Peter Palese. Peter Palese 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.
González‐Domínguez, Irene, José Luis Martínez, Stefan Slamanig, et al.. (2022). Trivalent NDV-HXP-S Vaccine Protects against Phylogenetically Distant SARS-CoV-2 Variants of Concern in Mice. Microbiology Spectrum. 10(3). e0153822–e0153822. 18 indexed citations
2.
Meade, Philip, Shirin Strohmeier, Maria C. Bermúdez‐González, et al.. (2022). Antigenic Landscape Analysis of Individuals Vaccinated with a Universal Influenza Virus Vaccine Candidate Reveals Induction of Cross-Subtype Immunity. Journal of Virology. 97(1). e0107022–e0107022. 6 indexed citations
3.
Guthmiller, Jenna J., Henry A. Utset, Carole Henry, et al.. (2021). An Egg-Derived Sulfated N -Acetyllactosamine Glycan Is an Antigenic Decoy of Influenza Virus Vaccines. mBio. 12(3). e0083821–e0083821. 9 indexed citations
4.
Chen, Chi-Jene, et al.. (2021). Interaction between NS1 and Cellular MAVS Contributes to NS1 Mitochondria Targeting. Viruses. 13(10). 1909–1909. 5 indexed citations
5.
Carreño, Juan Manuel, Shirin Strohmeier, Ericka Kirkpatrick Roubidoux, et al.. (2020). H1 Hemagglutinin Priming Provides Long-Lasting Heterosubtypic Immunity against H5N1 Challenge in the Mouse Model. mBio. 11(6). 12 indexed citations
6.
Zheng, Allen, Weina Sun, Xiaoli Xiong, et al.. (2020). Enhancing Neuraminidase Immunogenicity of Influenza A Viruses by Rewiring RNA Packaging Signals. Journal of Virology. 94(16). 17 indexed citations
7.
Sun, Weina, Ericka Kirkpatrick, Megan E. Ermler, et al.. (2019). Development of Influenza B Universal Vaccine Candidates Using the “Mosaic” Hemagglutinin Approach. Journal of Virology. 93(12). 56 indexed citations
8.
Broecker, Felix, Sean Liu, Weina Sun, et al.. (2018). Immunodominance of Antigenic Site B in the Hemagglutinin of the Current H3N2 Influenza Virus in Humans and Mice. Journal of Virology. 92(20). 34 indexed citations
9.
Palese, Peter & Taia T. Wang. (2012). H5N1 influenza viruses: Facts, not fear. Proceedings of the National Academy of Sciences. 109(7). 2211–2213. 46 indexed citations
10.
Pica, Natalie, Ryan A. Langlois, Florian Krammer, Irina Margine, & Peter Palese. (2012). NS1-Truncated Live Attenuated Virus Vaccine Provides Robust Protection to Aged Mice from Viral Challenge. Journal of Virology. 86(19). 10293–10301. 56 indexed citations
11.
Steel, John, Peter Staeheli, Samira Mubareka, et al.. (2009). Transmission of Pandemic H1N1 Influenza Virus and Impact of Prior Exposure to Seasonal Strains or Interferon Treatment. Journal of Virology. 84(1). 21–26. 110 indexed citations
12.
Stevens, James, Adam L. Corper, Christopher F. Basler, et al.. (2004). Structure of the Uncleaved Human H1 Hemagglutinin from the Extinct 1918 Influenza Virus. Science. 303(5665). 1866–1870. 370 indexed citations
13.
Li, Wan-Xiang, Hongwei Li, Rui Lu, et al.. (2004). Interferon antagonist proteins of influenza and vaccinia viruses are suppressors of RNA silencing. Proceedings of the National Academy of Sciences. 101(5). 1350–1355. 335 indexed citations
14.
Palese, Peter & Adolfo Garcı́a-Sastre. (2002). Series Introduction: New directions in vaccine research. Journal of Clinical Investigation. 109(12). 1517–1518. 2 indexed citations
15.
Palese, Peter & Adolfo Garcı́a-Sastre. (2002). Series Introduction: New directions in vaccine research. Journal of Clinical Investigation. 109(12). 1517–1518. 1 indexed citations
16.
Palese, Peter & Adolfo Garcı́a-Sastre. (2002). Influenza vaccines: present and future. Journal of Clinical Investigation. 110(1). 9–13. 87 indexed citations
17.
Palese, Peter & Adolfo Garcı́a-Sastre. (2002). Influenza vaccines: present and future. Journal of Clinical Investigation. 110(1). 9–13. 6 indexed citations
18.
Gilleland, H. E., Linda B. Gilleland, John Staczek, et al.. (2000). Chimeric animal and plant viruses expressing epitopes of outer membrane protein F as a combined vaccine againstPseudomonas aeruginosalung infection. FEMS Immunology & Medical Microbiology. 27(4). 291–297. 45 indexed citations
19.
20.
Parvin, Jeffrey D., Frances I. Smith, & Peter Palese. (1986). Rapid RNA Sequencing Using Double-Stranded Template DNA, SP6 Polymerase, and 3′-Deoxynucleotide Triphosphates. DNA. 5(2). 167–171. 8 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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