Scott E. Hensley

17.8k total citations · 4 hit papers
109 papers, 5.1k citations indexed

About

Scott E. Hensley is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Scott E. Hensley has authored 109 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Epidemiology, 37 papers in Immunology and 32 papers in Infectious Diseases. Recurrent topics in Scott E. Hensley's work include Influenza Virus Research Studies (62 papers), Respiratory viral infections research (36 papers) and SARS-CoV-2 and COVID-19 Research (18 papers). Scott E. Hensley is often cited by papers focused on Influenza Virus Research Studies (62 papers), Respiratory viral infections research (36 papers) and SARS-CoV-2 and COVID-19 Research (18 papers). Scott E. Hensley collaborates with scholars based in United States, United Kingdom and Australia. Scott E. Hensley's co-authors include Sarah Cobey, Kaela Parkhouse, Seth J. Zost, Jonathan W. Yewdell, Jack R. Bennink, Benjamin S. Chambers, Patrick C. Wilson, Hildegund C.J. Ertl, E. John Wherry and Nia Tatsis and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Scott E. Hensley

106 papers receiving 5.0k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Contemporary H3N2 influenza viruses have a glycosylation site that alters binding of antibodies elicited by egg-adapted vaccine strains

2017 399 citations Seth J. Zost, Kaela Parkhouse et al. Proceedings of the National Academy of Sciences profile →
A multivalent nucleoside-modified mRNA vaccine against all known influenza virus subtypes

2022 218 citations Colleen Furey, Mohamad‐Gabriel Alameh et al. Science profile →
Nucleoside-modified mRNA immunization elicits influenza virus hemagglutinin stalk-specific antibodies

2018 201 citations Norbert Pardi, Kaela Parkhouse et al. Nature Communications profile →
Assessment of Maternal and Neonatal Cord Blood SARS-CoV-2 Antibodies and Placental Transfer Ratios

2021 173 citations Sigrid Gouma, Madison E. Weirick et al. profile →

Author Peers

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

Author						Papers	Cites
Scott E. Hensley	2.8k	1.7k	1.6k	1.3k	682	109	5.1k
Tatsuo Shioda	2.1k 0.7×	1.9k 1.1×	2.9k 1.8×	1.4k 1.0×	639 0.9×	218	6.6k
Patrick C. Reading	4.1k 1.5×	4.8k 2.8×	1.1k 0.7×	1.4k 1.0×	500 0.7×	136	7.8k
Rong Hai	5.1k 1.8×	2.3k 1.3×	1.5k 0.9×	1.4k 1.1×	558 0.8×	122	6.6k
Ruth M. Ruprecht	1.8k 0.6×	2.5k 1.4×	2.1k 1.3×	1.4k 1.1×	665 1.0×	179	6.6k
Zhi-Yong Yang	2.1k 0.8×	2.4k 1.4×	3.1k 1.9×	2.1k 1.6×	925 1.4×	54	7.0k
George Kemble	5.6k 2.0×	2.0k 1.2×	1.5k 1.0×	1.1k 0.8×	334 0.5×	78	6.5k
Théodora Hatziioannou	2.4k 0.9×	2.3k 1.3×	2.9k 1.8×	1.9k 1.4×	639 0.9×	65	7.3k
Hana Golding	3.5k 1.3×	4.3k 2.4×	2.0k 1.3×	1.8k 1.3×	508 0.7×	184	8.2k
Miles W. Carroll	1.7k 0.6×	2.2k 1.3×	2.1k 1.3×	1.5k 1.1×	1.1k 1.7×	134	5.8k
Nigel Temperton	1.9k 0.7×	961 0.6×	1.8k 1.1×	736 0.6×	310 0.5×	124	3.9k

Countries citing papers authored by Scott E. Hensley

Since Specialization

Citations

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

Fields of papers citing papers by Scott E. Hensley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott E. Hensley. 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 Scott E. Hensley. The network helps show where Scott E. Hensley may publish in the future.

Co-authorship network of co-authors of Scott E. Hensley

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

All Works

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20 of 20 papers shown

Phan, Anthony T., Mohamad‐Gabriel Alameh, Garima Dwivedi, et al.. (2025). An Il12 mRNA-LNP adjuvant enhances mRNA vaccine–induced CD8 T cell responses. Science Immunology. 10(108). eads1328–eads1328. 11 indexed citations

Lowen, Anice C., Amy L. Vincent Baker, Andrew S. Bowman, et al.. (2025). Pandemic risk stemming from the bovine H5N1 outbreak: an account of the knowns and unknowns. Journal of Virology. 99(4). e0005225–e0005225. 10 indexed citations

McFarland, Alexander, J.K. Everett, Louise H. Moncla, et al.. (2024). Within-host influenza viral diversity in the pediatric population as a function of age, vaccine, and health status. Virus Evolution. 10(1). veae034–veae034. 1 indexed citations

Kim, Kangchon, Marcos C. Vieira, Sigrid Gouma, et al.. (2024). Measures of Population Immunity Can Predict the Dominant Clade of Influenza A (H3N2) in the 2017–2018 Season and Reveal Age‐Associated Differences in Susceptibility and Antibody‐Binding Specificity. Influenza and Other Respiratory Viruses. 18(11). e70033–e70033. 4 indexed citations

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

Gouma, Sigrid, Madison E. Weirick, & Scott E. Hensley. (2020). Antigenic assessment of the H3N2 component of the 2019-2020 Northern Hemisphere influenza vaccine. Nature Communications. 11(1). 24 indexed citations

Willis, Elinor, Norbert Pardi, Kaela Parkhouse, et al.. (2020). Nucleoside-modified mRNA vaccination partially overcomes maternal antibody inhibition of de novo immune responses in mice. Science Translational Medicine. 12(525). 42 indexed citations

Gouma, Sigrid, Madison E. Weirick, & Scott E. Hensley. (2019). Potential Antigenic Mismatch of the H3N2 Component of the 2019 Southern Hemisphere Influenza Vaccine. Clinical Infectious Diseases. 70(11). 2432–2434. 7 indexed citations

Lee, Juhye, Rachel Eguia, Seth J. Zost, et al.. (2019). Mapping person-to-person variation in viral mutations that escape polyclonal serum targeting influenza hemagglutinin. eLife. 8. 61 indexed citations

10.

McCormick, Kevin D., Megan E. Gumina, Joshua G. Petrie, et al.. (2018). Sera from Individuals with Narrowly Focused Influenza Virus Antibodies Rapidly Select Viral Escape Mutations In Ovo. Journal of Virology. 92(19). 13 indexed citations

11.

Zost, Seth J., Kaela Parkhouse, Megan E. Gumina, et al.. (2017). Contemporary H3N2 influenza viruses have a glycosylation site that alters binding of antibodies elicited by egg-adapted vaccine strains. Proceedings of the National Academy of Sciences. 114(47). 12578–12583. 399 indexed citations breakdown →

12.

Herati, Ramin S., Alexander Muselman, Laura A. Vella, et al.. (2017). Successive annual influenza vaccination induces a recurrent oligoclonotypic memory response in circulating T follicular helper cells. Science Immunology. 2(8). 107 indexed citations

13.

Hackett, Brent A., Ari Yasunaga, Debasis Panda, et al.. (2015). RNASEK is required for internalization of diverse acid-dependent viruses. Proceedings of the National Academy of Sciences. 112(25). 7797–7802. 47 indexed citations

14.

Li, Yang, David Bostick, Jonathan J. Madara, et al.. (2013). Immune history shapes specificity of pandemic H1N1 influenza antibody responses. The Journal of Experimental Medicine. 210(8). 1493–1500. 132 indexed citations

15.

Hensley, Scott E., Damien Zanker, Brian P. Dolan, et al.. (2010). Unexpected Role for the Immunoproteasome Subunit LMP2 in Antiviral Humoral and Innate Immune Responses. The Journal of Immunology. 184(8). 4115–4122. 85 indexed citations

16.

Hensley, Scott E., S. R. Das, Ashley Bailey, et al.. (2009). Hemagglutinin Receptor Binding Avidity Drives Influenza A Virus Antigenic Drift. Science. 326(5953). 734–736. 7 indexed citations

17.

Wolf, Amaya I., Darya Buehler, Scott E. Hensley, et al.. (2009). Plasmacytoid Dendritic Cells Are Dispensable during Primary Influenza Virus Infection. The Journal of Immunology. 182(2). 871–879. 79 indexed citations

18.

Hensley, Scott E., Wynetta Giles‐Davis, Kimberly McCoy, Wolfgang Weninger, & Hildegund C.J. Ertl. (2005). Dendritic Cell Maturation, but Not CD8+ T Cell Induction, Is Dependent on Type I IFN Signaling during Vaccination with Adenovirus Vectors. The Journal of Immunology. 175(9). 6032–6041. 60 indexed citations

19.

Hensley, Scott E.. (1999). GPOs under pressure to deliver. Purchasing volume climbs, but Internet firms and independents are challenging the large groups.. PubMed. 29(38). 38–40, 42, 44. 1 indexed citations

20.

Hensley, Scott E.. (1999). Brazilian healthcare at a crossroads. Private sector flourishes as the government's program buckles under heavy demand, lack of funding.. PubMed. 29(20). 34–6, 38. 2 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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