Jennifer E. Munt

1.1k total citations
7 papers, 81 citations indexed

About

Jennifer E. Munt is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Insect Science. According to data from OpenAlex, Jennifer E. Munt has authored 7 papers receiving a total of 81 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 4 papers in Public Health, Environmental and Occupational Health and 2 papers in Insect Science. Recurrent topics in Jennifer E. Munt's work include Viral Infections and Vectors (4 papers), Mosquito-borne diseases and control (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Jennifer E. Munt is often cited by papers focused on Viral Infections and Vectors (4 papers), Mosquito-borne diseases and control (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Jennifer E. Munt collaborates with scholars based in United States, South Africa and Puerto Rico. Jennifer E. Munt's co-authors include Boyd L. Yount, Ralph S. Baric, Aravinda M. de Silva, Anna P. Durbin, Stephen S. Whitehead, David R. Martinez, Usha K. Nivarthi, Yixuan J. Hou, Liara M. Gonzalez and Camille Ehré and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Jennifer E. Munt

6 papers receiving 79 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer E. Munt United States	4	63	54	14	14	10	7	81
Pierina Lorencini Parise Brazil	6	64 1.0×	26 0.5×	11 0.8×	9 0.6×	7 0.7×	14	95
Jason Shao United States	5	54 0.9×	53 1.0×	34 2.4×	4 0.3×	3 0.3×	7	105
Katherine E. Burgomaster United States	6	93 1.5×	62 1.1×	47 3.4×	11 0.8×	15 1.5×	7	131
Audrey Lacroix France	6	106 1.7×	24 0.4×	23 1.6×	11 0.8×	9 0.9×	9	136
Flavia Cristina da Silva Sales Brazil	5	48 0.8×	23 0.4×	23 1.6×	5 0.4×	8 0.8×	12	88
Conner K. Kidd United States	2	44 0.7×	32 0.6×	10 0.7×	3 0.2×	10 1.0×	2	54
Bradley Whitener United States	5	81 1.3×	16 0.3×	26 1.9×	19 1.4×	27 2.7×	5	106
Antoine Nkuba-Ndaye Democratic Republic of the Congo	5	103 1.6×	23 0.4×	15 1.1×	15 1.1×	4 0.4×	8	123
Endah Supriyati Indonesia	6	59 0.9×	44 0.8×	20 1.4×	6 0.4×	3 0.3×	20	101
Natasha Johnson United States	5	75 1.2×	28 0.5×	6 0.4×	44 3.1×	5 0.5×	8	106

Countries citing papers authored by Jennifer E. Munt

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer E. Munt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer E. Munt

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

All Works

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7 of 7 papers shown

Mallory, Michael L., Jennifer E. Munt, Tara M. Narowski, et al.. (2024). COVID-19 point-of-care tests can identify low-antibody individuals: In-depth immunoanalysis of boosting benefits in a healthy cohort. Science Advances. 10(24). eadi1379–eadi1379.

Suryadevara, Naveenchandra, Nurgun Kose, Sandhya Bangaru, et al.. (2024). Structural characterization of human monoclonal antibodies targeting uncommon antigenic sites on spike glycoprotein of SARS-CoV. Journal of Clinical Investigation. 135(3). 2 indexed citations

Munt, Jennifer E., Ellen Young, Yixuan J. Hou, et al.. (2023). Homotypic antibodies target novel E glycoprotein domains after natural DENV 3 infection/vaccination. Cell Host & Microbe. 31(11). 1850–1865.e5. 6 indexed citations

Young, Ellen, Boyd L. Yount, Petraleigh Pantoja, et al.. (2023). A live dengue virus vaccine carrying a chimeric envelope glycoprotein elicits dual DENV2-DENV4 serotype-specific immunity. Nature Communications. 14(1). 1371–1371. 11 indexed citations

Meganck, Rita M., Ellen Young, Jennifer E. Munt, et al.. (2023). Dengue virus 4/2 envelope domain chimeric virus panel maps type-specific responses against dengue serotype 2. mBio. 14(5). e0081823–e0081823. 1 indexed citations

Tse, Longping V., Rita M. Meganck, Boyd L. Yount, et al.. (2022). Genomewide CRISPR knockout screen identified PLAC8 as an essential factor for SADS-CoVs infection. Proceedings of the National Academy of Sciences. 119(18). e2118126119–e2118126119. 24 indexed citations

Martinez, David R., Boyd L. Yount, Usha K. Nivarthi, et al.. (2020). Antigenic Variation of the Dengue Virus 2 Genotypes Impacts the Neutralization Activity of Human Antibodies in Vaccinees. Cell Reports. 33(1). 108226–108226. 37 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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