Sunny Himansu

6.5k total citations · 2 hit papers
15 papers, 1.9k citations indexed

About

Sunny Himansu is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Sunny Himansu has authored 15 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 7 papers in Public Health, Environmental and Occupational Health and 5 papers in Epidemiology. Recurrent topics in Sunny Himansu's work include Mosquito-borne diseases and control (7 papers), Viral Infections and Vectors (6 papers) and Viral Infections and Outbreaks Research (6 papers). Sunny Himansu is often cited by papers focused on Mosquito-borne diseases and control (7 papers), Viral Infections and Vectors (6 papers) and Viral Infections and Outbreaks Research (6 papers). Sunny Himansu collaborates with scholars based in United States, Japan and Russia. Sunny Himansu's co-authors include Giuseppe Ciaramella, Theodore C. Pierson, Michael Diamond, Julie M. Fox, Kimberly A. Dowd, Justin M. Richner, William W. Tang, Sujan Shresta, Scott L. Butler and Vanessa Salazar and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Sunny Himansu

13 papers receiving 1.8k citations

Hit Papers

align trajectories

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.

Modified mRNA Vaccines Protect against Zika Virus Infection

2017 731 citations Justin M. Richner, Sunny Himansu et al. Cell profile →
Optimization of Lipid Nanoparticles for Intramuscular Administration of mRNA Vaccines

2019 601 citations Kimberly J. Hassett, Kerry E. Benenato et al. Molecular Therapy — Nucleic Acids profile →

Peers

Sunny Himansu

IMMUN

PHEOH

EPIDE

Robin Bombardi United States

Benjamin Petsch Germany

Kapil Bahl United States

Vanessa Salazar United States

Annette B. Vogel Germany

Jasdave S. Chahal United States

Reed S. Shabman United States

Christine A. Shaw United States

Zongdi Feng United States

Gopal Sapparapu United States

Robin Bombardi United States

Sunny Himansu

517 ×0.5

882 ×1.0

392 ×1.0

IMMUN

498 ×1.3

PHEOH

624 ×2.2

EPIDE

Citations per year, relative to Sunny Himansu Sunny Himansu (= 1×) peers Robin Bombardi

Countries citing papers authored by Sunny Himansu

Since Specialization

Citations

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

Fields of papers citing papers by Sunny Himansu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunny Himansu

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

All Works

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15 of 15 papers shown

Subramani, Chandru, Michelle Meyer, Haiping Hao, et al.. (2025). Marburg virus glycoprotein mRNA vaccine is more protective than a virus-like particle-forming mRNA vaccine. Journal of Clinical Investigation. 135(17).

Meyer, Michelle, Bronwyn M. Gunn, Colette Pietzsch, et al.. (2025). Divergent antibody recognition profiles are generated by protective mRNA vaccines against Marburg and Ravn viruses. Nature Communications. 16(1). 5702–5702. 1 indexed citations

Ronk, Adam J., Min Zhang, Caroline Atyeo, et al.. (2023). A Lassa virus mRNA vaccine confers protection but does not require neutralizing antibody in a guinea pig model of infection. Nature Communications. 14(1). 5603–5603. 20 indexed citations

Zhang, Peng, Samantha Falcone, Yaroslav Tsybovsky, et al.. (2023). Increased neutralization potency and breadth elicited by a SARS-CoV-2 mRNA vaccine forming virus-like particles. Proceedings of the National Academy of Sciences. 120(29). e2305896120–e2305896120. 7 indexed citations

Narayanan, Elisabeth, Samantha Falcone, Sayda M. Elbashir, et al.. (2022). Rational Design and In Vivo Characterization of mRNA-Encoded Broadly Neutralizing Antibody Combinations against HIV-1. Antibodies. 11(4). 67–67. 10 indexed citations

VanBlargan, Laura A., John M. Errico, Natasha M. Kafai, et al.. (2021). Broadly neutralizing monoclonal antibodies protect against multiple tick-borne flaviviruses. The Journal of Experimental Medicine. 218(5). 21 indexed citations

August, Allison, Husain Attarwala, Sunny Himansu, et al.. (2021). A phase 1 trial of lipid-encapsulated mRNA encoding a monoclonal antibody with neutralizing activity against Chikungunya virus. Nature Medicine. 27(12). 2224–2233. 118 indexed citations

Loomis, Rebecca J., Anthony DiPiazza, Samantha Falcone, et al.. (2021). Chimeric Fusion (F) and Attachment (G) Glycoprotein Antigen Delivery by mRNA as a Candidate Nipah Vaccine. Frontiers in Immunology. 12. 772864–772864. 43 indexed citations

Moyo, Nathifa, Edmund G. Wee, Bette Korber, et al.. (2020). Tetravalent Immunogen Assembled from Conserved Regions of HIV-1 and Delivered as mRNA Demonstrates Potent Preclinical T-Cell Immunogenicity and Breadth. Vaccines. 8(3). 360–360. 18 indexed citations

10.

Kose, Nurgun, Julie M. Fox, Gopal Sapparapu, et al.. (2019). A lipid-encapsulated mRNA encoding a potently neutralizing human monoclonal antibody protects against chikungunya infection. Science Immunology. 4(35). 155 indexed citations

11.

Hassett, Kimberly J., Kerry E. Benenato, Eric Jacquinet, et al.. (2019). Optimization of Lipid Nanoparticles for Intramuscular Administration of mRNA Vaccines. Molecular Therapy — Nucleic Acids. 15. 1–11. 601 indexed citations breakdown →

12.

Jagger, Brett W., Kimberly A. Dowd, Pritesh Desai, et al.. (2019). 2904. Protective Efficacy of Nucleic Acid Vaccines Against Transmission of Zika Virus During Pregnancy in Mice. Open Forum Infectious Diseases. 6(Supplement_2). S84–S84.

13.

Jagger, Brett W., Kimberly A. Dowd, Rita E. Chen, et al.. (2019). Protective Efficacy of Nucleic Acid Vaccines Against Transmission of Zika Virus During Pregnancy in Mice. The Journal of Infectious Diseases. 220(10). 1577–1588. 39 indexed citations

14.

VanBlargan, Laura A., Sunny Himansu, Bryant M. Foreman, et al.. (2018). An mRNA Vaccine Protects Mice against Multiple Tick-Transmitted Flavivirus Infections. Cell Reports. 25(12). 3382–3392.e3. 90 indexed citations

15.

Richner, Justin M., Sunny Himansu, Kimberly A. Dowd, et al.. (2017). Modified mRNA Vaccines Protect against Zika Virus Infection. Cell. 168(6). 1114–1125.e10. 731 indexed citations breakdown →

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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