Weina Sun

2.2k total citations
41 papers, 806 citations indexed

About

Weina Sun is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Weina Sun has authored 41 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Epidemiology, 18 papers in Infectious Diseases and 15 papers in Immunology. Recurrent topics in Weina Sun's work include Influenza Virus Research Studies (25 papers), SARS-CoV-2 and COVID-19 Research (16 papers) and Respiratory viral infections research (14 papers). Weina Sun is often cited by papers focused on Influenza Virus Research Studies (25 papers), SARS-CoV-2 and COVID-19 Research (16 papers) and Respiratory viral infections research (14 papers). Weina Sun collaborates with scholars based in United States, Austria and Netherlands. Weina Sun's co-authors include Peter Palese, Florian Krammer, Felix Broecker, Raffael Nachbagauer, Fatima Amanat, Ericka Kirkpatrick, Megan E. Ermler, Sean Liu, Viviana Simon and Adolfo Garcı́a-Sastre and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Weina Sun

38 papers receiving 792 citations

Peers

Weina Sun
George Carnell United Kingdom
Vamsee Mallajosyula United States
Stefan van der Vliet Netherlands
Celia Santos United States
Teddy John Wohlbold United States
Jefferson Santos United States
Robert O’Neill United States
Giulia Lapini Italy
Joseph P. Nkolola United States
Carolyn Nicolson United Kingdom
George Carnell United Kingdom
Weina Sun
Citations per year, relative to Weina Sun Weina Sun (= 1×) peers George Carnell

Countries citing papers authored by Weina Sun

Since Specialization
Citations

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

Fields of papers citing papers by Weina Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weina Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Weina Sun. A scholar is included among the top collaborators of Weina Sun 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 Weina Sun. Weina Sun 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.
Abbad, Anass, Brian Monahan, Gagandeep Singh, et al.. (2025). Antibody responses to SARS-CoV-2 variants LP.8.1, LF.7.1, NB.1.8.1, XFG, and BA.3.2 following KP.2 monovalent mRNA vaccination. mBio. 17(1). e0290125–e0290125.
2.
3.
Zhu, Xueyong, Julianna Han, Weina Sun, et al.. (2025). Structural characterization of influenza group 1 chimeric hemagglutinins as broad vaccine immunogens. Proceedings of the National Academy of Sciences. 122(7). e2416628122–e2416628122.
4.
Rathnasinghe, Raveen, Lauren A. Chang, Rebecca L. Pearl, et al.. (2024). Sequential immunization with chimeric hemagglutinin ΔNS1 attenuated influenza vaccines induces broad humoral and cellular immunity. npj Vaccines. 9(1). 169–169. 4 indexed citations
5.
Clark, Jordan J, Irene Hoxie, Daniel C. Adelsberg, et al.. (2024). Protective effect and molecular mechanisms of human non-neutralizing cross-reactive spike antibodies elicited by SARS-CoV-2 mRNA vaccination. Cell Reports. 43(11). 114922–114922. 11 indexed citations
6.
Puente‐Massaguer, Eduard, Michael J. Scherm, Guha Asthagiri Arunkumar, et al.. (2023). Chimeric hemagglutinin split vaccines elicit broadly cross-reactive antibodies and protection against group 2 influenza viruses in mice. Science Advances. 9(37). eadi4753–eadi4753. 15 indexed citations
7.
Amanat, Fatima, Jordan J Clark, Juan Manuel Carreño, et al.. (2023). Immunity to Seasonal Coronavirus Spike Proteins Does Not Protect from SARS-CoV-2 Challenge in a Mouse Model but Has No Detrimental Effect on Protection Mediated by COVID-19 mRNA Vaccination. Journal of Virology. 97(3). e0166422–e0166422. 9 indexed citations
8.
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
9.
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
10.
Carreño, Juan Manuel, Weina Sun, Gagandeep Singh, et al.. (2021). Safety and Immunogenicity of a Newcastle Disease Virus Vector-Based SARS-CoV-2 Vaccine Candidate, AVX/COVID-12-HEXAPRO (Patria), in Pigs. mBio. 12(5). e0190821–e0190821. 25 indexed citations
11.
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
12.
Sun, Weina, Stephen McCroskery, Wen‐Chun Liu, et al.. (2020). A Newcastle Disease Virus (NDV) Expressing a Membrane-Anchored Spike as a Cost-Effective Inactivated SARS-CoV-2 Vaccine. Vaccines. 8(4). 771–771. 59 indexed citations
13.
Sun, Weina, et al.. (2019). An Inactivated Influenza Virus Vaccine Approach to Targeting the Conserved Hemagglutinin Stalk and M2e Domains. Vaccines. 7(3). 117–117. 12 indexed citations
14.
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
15.
Nachbagauer, Raffael, Bruno Salaun, Daniel Stadlbauer, et al.. (2019). Pandemic influenza virus vaccines boost hemagglutinin stalk-specific antibody responses in primed adult and pediatric cohorts. npj Vaccines. 4(1). 51–51. 18 indexed citations
16.
Broecker, Felix, Allen Zheng, Nungruthai Suntronwong, et al.. (2019). Extending the Stalk Enhances Immunogenicity of the Influenza Virus Neuraminidase. Journal of Virology. 93(18). 19 indexed citations
17.
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
18.
Rajendran, Madhusudan, Weina Sun, Phillip Comella, et al.. (2018). An immuno-assay to quantify influenza virus hemagglutinin with correctly folded stalk domains in vaccine preparations. PLoS ONE. 13(4). e0194830–e0194830. 24 indexed citations
19.
Liu, Sean, Mohammad Amin Behzadi, Weina Sun, et al.. (2018). Antigenic sites in influenza H1 hemagglutinin display species-specific immunodominance. Journal of Clinical Investigation. 128(11). 4992–4996. 55 indexed citations
20.
Sun, Weina, Allen Zheng, Sean Liu, et al.. (2018). Antibody Responses toward the Major Antigenic Sites of Influenza B Virus Hemagglutinin in Mice, Ferrets, and Humans. Journal of Virology. 93(2). 25 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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