Mehul S. Suthar

26.0k total citations · 6 hit papers
108 papers, 6.8k citations indexed

About

Mehul S. Suthar is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Mehul S. Suthar has authored 108 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Infectious Diseases, 41 papers in Public Health, Environmental and Occupational Health and 40 papers in Immunology. Recurrent topics in Mehul S. Suthar's work include Mosquito-borne diseases and control (40 papers), SARS-CoV-2 and COVID-19 Research (34 papers) and Viral Infections and Vectors (34 papers). Mehul S. Suthar is often cited by papers focused on Mosquito-borne diseases and control (40 papers), SARS-CoV-2 and COVID-19 Research (34 papers) and Viral Infections and Vectors (34 papers). Mehul S. Suthar collaborates with scholars based in United States, India and Czechia. Mehul S. Suthar's co-authors include Michael Gale, Michael Diamond, Kendra M. Quicke, Stéphane Daffis, Jens Wrammert, Melanie A. Samuel, Bali Pulendran, J. Richard Bowen, Justin T. O’Neal and Margaret M. Brassil and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Nature Communications.

In The Last Decade

Mehul S. Suthar

105 papers receiving 6.7k citations

Hit Papers

SARS-CoV-2 spike-protein D614G mutation... 2013 2026 2017 2021 2020 2016 2016 2016 2013 200 400 600
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.

  1. SARS-CoV-2 spike-protein D614G mutation increases virion spike density and infectivity
    2020 662 citations Lizhou Zhang, Cody B. Jackson et al. Nature Communications profile →
  2. Human antibody responses after dengue virus infection are highly cross-reactive to Zika virus
    2016 423 citations Srilatha Edupuganti, Mehul S. Suthar et al. profile →
  3. N6 -Methyladenosine in Flaviviridae Viral RNA Genomes Regulates Infection
    2016 372 citations Mehul S. Suthar et al. profile →
  4. Zika Virus Infects Human Placental Macrophages
    2016 367 citations Justin T. O’Neal, Jens Wrammert et al. profile →
  5. West Nile virus infection and immunity
    2013 327 citations Mehul S. Suthar, Michael Diamond et al. profile →
  6. Reduced pathogenicity of the SARS-CoV-2 omicron variant in hamsters
    2022 119 citations Mehul S. Suthar, Peter Halfmann et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mehul S. Suthar United States 40 4.1k 2.6k 2.1k 1.5k 1.1k 108 6.8k
Helen M. Lazear United States 34 2.8k 0.7× 2.3k 0.9× 1.8k 0.9× 861 0.6× 1.2k 1.1× 53 5.2k
Thomas E. Morrison United States 39 3.1k 0.8× 2.3k 0.9× 1.6k 0.8× 917 0.6× 873 0.8× 116 5.5k
Sujan Shresta United States 49 4.7k 1.1× 5.0k 1.9× 2.5k 1.2× 1.7k 1.2× 1.5k 1.4× 104 8.8k
Jonathan J. Miner United States 33 2.5k 0.6× 2.6k 1.0× 1.7k 0.8× 1.2k 0.8× 1.0k 0.9× 53 5.4k
Huan-Yao Lei Taiwan 46 2.7k 0.7× 2.6k 1.0× 1.3k 0.6× 1.2k 0.8× 996 0.9× 89 6.3k
Ana Fernández-Sesma United States 44 2.5k 0.6× 1.9k 0.7× 3.1k 1.5× 1.4k 0.9× 2.2k 2.0× 93 6.1k
Penghua Wang United States 45 2.4k 0.6× 2.5k 1.0× 1.5k 0.7× 1.3k 0.9× 565 0.5× 103 5.7k
Kartik Chandran United States 38 4.2k 1.0× 850 0.3× 849 0.4× 1.7k 1.1× 1.9k 1.7× 117 6.9k
Sonja M. Best United States 36 2.7k 0.7× 1.9k 0.7× 890 0.4× 586 0.4× 926 0.8× 84 4.1k
Carolyn B. Coyne United States 55 2.6k 0.6× 1.9k 0.7× 3.2k 1.5× 3.3k 2.2× 2.5k 2.3× 123 10.3k

Countries citing papers authored by Mehul S. Suthar

Since Specialization
Citations

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

Fields of papers citing papers by Mehul S. Suthar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mehul S. Suthar. 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 Mehul S. Suthar. The network helps show where Mehul S. Suthar may publish in the future.

Co-authorship network of co-authors of Mehul S. Suthar

This figure shows the co-authorship network connecting the top 25 collaborators of Mehul S. Suthar. A scholar is included among the top collaborators of Mehul S. Suthar 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 Mehul S. Suthar. Mehul S. Suthar 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.
Vu, Michelle N., Yiyang Zhou, Kumari G. Lokugamage, et al.. (2025). The furin cleavage site is required for pathogenesis, but not transmission, of SARS-CoV-2. Journal of Virology. 99(7). e0046725–e0046725. 1 indexed citations
2.
Uraki, Ryuta, Maki Kiso, Mutsumi Ito, et al.. (2025). An mRNA vaccine encoding the SARS-CoV-2 Omicron XBB.1.5 receptor-binding domain protects mice from the JN.1 variant. EBioMedicine. 117. 105794–105794. 1 indexed citations
3.
Moore, Kathryn M., Stacey A. Lapp, Gregory K. Tharp, et al.. (2024). Single-cell analysis reveals an antiviral network that controls Zika virus infection in human dendritic cells. Journal of Virology. 98(5). e0019424–e0019424. 5 indexed citations
4.
Moreno, Alberto, Kelly E. Manning, Ajay K. Nooka, et al.. (2024). Divergence of variant antibodies following SARS-CoV-2 booster vaccines in myeloma and impact of hybrid immunity. npj Vaccines. 9(1). 201–201.
5.
Vanderheiden, Abigail, Elizabeth J. Elrod, Katharine Floyd, et al.. (2024). CD4 + and CD8 + T cells are required to prevent SARS-CoV-2 persistence in the nasal compartment. Science Advances. 10(34). eadp2636–eadp2636. 9 indexed citations
6.
Kenney, Adam D., Ashley Zani, Adrian C. Eddy, et al.. (2023). Interferon‐induced transmembrane protein 3 (IFITM3) limits lethality of SARS‐CoV‐2 in mice. EMBO Reports. 24(4). e56660–e56660. 18 indexed citations
7.
Ingle, Harshad, Hongju Deng, Lynne Foster, et al.. (2023). IFN-λ derived from nonsusceptible enterocytes acts on tuft cells to limit persistent norovirus. Science Advances. 9(37). eadi2562–eadi2562. 15 indexed citations
8.
Ganti, Ketaki, et al.. (2022). Timing of exposure is critical in a highly sensitive model of SARS-CoV-2 transmission. PLoS Pathogens. 18(3). e1010181–e1010181. 15 indexed citations
9.
Mantus, Grace, Lindsay E. Nyhoff, Veronika I. Zarnitsyna, et al.. (2022). Pre-existing SARS-CoV-2 immunity influences potency, breadth, and durability of the humoral response to SARS-CoV-2 vaccination. Cell Reports Medicine. 3(4). 100603–100603. 25 indexed citations
10.
Tomalka, Jeffrey, Mehul S. Suthar, Steven G. Deeks, & Rafick‐Pierre Sékaly. (2022). Fighting the SARS-CoV-2 pandemic requires a global approach to understanding the heterogeneity of vaccine responses. Nature Immunology. 23(3). 360–370. 36 indexed citations
11.
Rostad, Christina A., Ann Chahroudi, Grace Mantus, et al.. (2020). Quantitative SARS-CoV-2 Serology in Children With Multisystem Inflammatory Syndrome (MIS-C). PEDIATRICS. 146(6). 84 indexed citations
12.
Raper, Jessica, Zsofia Kovacs‐Balint, Maud Mavigner, et al.. (2020). Long-term alterations in brain and behavior after postnatal Zika virus infection in infant macaques. Nature Communications. 11(1). 2534–2534. 44 indexed citations
13.
Zhang, Lizhou, Cody B. Jackson, Huihui Mou, et al.. (2020). SARS-CoV-2 spike-protein D614G mutation increases virion spike density and infectivity. Nature Communications. 11(1). 6013–6013. 662 indexed citations breakdown →
14.
Hurlburt, Nicholas K., Emilie Seydoux, Yu-Hsin Wan, et al.. (2020). Structural basis for potent neutralization of SARS-CoV-2 and role of antibody affinity maturation. Nature Communications. 11(1). 5413–5413. 99 indexed citations
15.
O’Neal, Justin T., Amit A. Upadhyay, Amber Wolabaugh, et al.. (2019). West Nile Virus-Inclusive Single-Cell RNA Sequencing Reveals Heterogeneity in the Type I Interferon Response within Single Cells. Journal of Virology. 93(6). 39 indexed citations
16.
Lazear, Helen M., Amelia K. Pinto, Hilario J. Ramos, et al.. (2013). Pattern Recognition Receptor MDA5 Modulates CD8 + T Cell-Dependent Clearance of West Nile Virus from the Central Nervous System. Journal of Virology. 87(21). 11401–11415. 49 indexed citations
17.
Lazear, Helen M., Alissa M. Lancaster, Courtney Wilkins, et al.. (2013). Correction: IRF-3, IRF-5, and IRF-7 Coordinately Regulate the Type I IFN Response in Myeloid Dendritic Cells Downstream of MAVS Signaling. PLoS Pathogens. 9(5). 36 indexed citations
18.
Szretter, Kristy J., Stéphane Daffis, Jigisha R. Patel, et al.. (2010). The Innate Immune Adaptor Molecule MyD88 Restricts West Nile Virus Replication and Spread in Neurons of the Central Nervous System. Journal of Virology. 84(23). 12125–12138. 94 indexed citations
19.
Daffis, Stéphane, Melanie A. Samuel, Mehul S. Suthar, Michael Gale, & Michael Diamond. (2008). Toll-Like Receptor 3 Has a Protective Role against West Nile Virus Infection. Journal of Virology. 82(21). 10349–10358. 272 indexed citations
20.
Deming, Damon, Timothy P. Sheahan, Mark T. Heise, et al.. (2006). Vaccine Efficacy in Senescent Mice Challenged with Recombinant SARS-CoV Bearing Epidemic and Zoonotic Spike Variants. PLoS Medicine. 3(12). e525–e525. 193 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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