Grace Mantus

2.6k total citations
16 papers, 376 citations indexed

About

Grace Mantus is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Grace Mantus has authored 16 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 3 papers in Epidemiology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Grace Mantus's work include COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Mosquito-borne diseases and control (3 papers). Grace Mantus is often cited by papers focused on COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Mosquito-borne diseases and control (3 papers). Grace Mantus collaborates with scholars based in United States, Colombia and India. Grace Mantus's co-authors include Jens Wrammert, Evan J. Anderson, Mehul S. Suthar, Christina A. Rostad, Vineet D. Menachery, Ann Chahroudi, Preeti Jaggi, Rajit K. Basu, Pei‐Yong Shi and Stacey A. Lapp and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Immunity and The Journal of Immunology.

In The Last Decade

Grace Mantus

14 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grace Mantus United States 10 249 67 55 54 34 16 376
Laila Hussaini United States 11 236 0.9× 63 0.9× 54 1.0× 71 1.3× 31 0.9× 20 351
Ferhan Kerget Türkiye 9 150 0.6× 19 0.3× 52 0.9× 46 0.9× 41 1.2× 36 294
Yile Dai United States 6 202 0.8× 51 0.8× 48 0.9× 42 0.8× 32 0.9× 8 309
Ke Hong China 9 338 1.4× 26 0.4× 169 3.1× 55 1.0× 39 1.1× 15 457
Yasutaka Fukui Japan 10 193 0.8× 16 0.2× 45 0.8× 37 0.7× 39 1.1× 24 322
Carlos Capela Portugal 7 196 0.8× 40 0.6× 93 1.7× 62 1.1× 81 2.4× 18 393
Yanxia Chen China 11 214 0.9× 27 0.4× 42 0.8× 75 1.4× 135 4.0× 36 469
Antonina Karsonova Russia 12 112 0.4× 38 0.6× 40 0.7× 76 1.4× 31 0.9× 19 599
Ilaria Marzinotto Italy 12 316 1.3× 157 2.3× 61 1.1× 82 1.5× 36 1.1× 27 555
Roy D. Brod United States 18 106 0.4× 48 0.7× 63 1.1× 48 0.9× 78 2.3× 33 793

Countries citing papers authored by Grace Mantus

Since Specialization
Citations

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

Fields of papers citing papers by Grace Mantus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grace Mantus

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

All Works

16 of 16 papers shown
1.
Shimberg, Geoffrey D., Grace Mantus, Yaroslav Tsybovsky, et al.. (2025). Early influenza virus exposure shapes the B cell response to influenza vaccination in individuals 50 years later. Immunity. 58(3). 728–744.e9. 5 indexed citations
2.
Papa, Michelle Premazzi, Grace Mantus, Adam R. Ward, et al.. (2024). Analysis of Memory Antibody Responses in Individuals with Zika-Associated Guillain–Barré Syndrome. Viruses. 16(11). 1704–1704.
3.
Griffiths, Mark, Patrick S. Sullivan, Grace Mantus, et al.. (2024). Incidence of SARS-CoV-2 seropositivity in pediatric healthcare workers prior to widespread vaccination: A 5-month longitudinal cohort study. International Journal of Infectious Diseases. 144. 107064–107064.
4.
Nyhoff, Lindsay E., Veronika I. Zarnitsyna, Alberto Moreno, et al.. (2023). Infants and young children generate more durable antibody responses to SARS-CoV-2 infection than adults. iScience. 26(10). 107967–107967. 11 indexed citations
5.
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
6.
Gupta, Sneh Lata, Grace Mantus, Kelly E. Manning, et al.. (2022). Loss of Pfizer (BNT162b2) Vaccine-Induced Antibody Responses against the SARS-CoV-2 Omicron Variant in Adolescents and Adults. Journal of Virology. 96(17). e0058222–e0058222. 15 indexed citations
7.
Gupta, Sneh Lata, Grace Mantus, Kelly E. Manning, et al.. (2022). Loss of Pfizer (BNT162b2) Vaccine-Induced Antibody Responses Against the SARS-CoV-2 Omicron Variant in Adolescents and Adults. SSRN Electronic Journal. 3 indexed citations
8.
Rees, Chris A., Christina A. Rostad, Grace Mantus, et al.. (2021). Altered amino acid profile in patients with SARS-CoV-2 infection. Proceedings of the National Academy of Sciences. 118(25). 73 indexed citations
9.
Nayak, Kaustuv, Kamalvishnu Gottimukkala, Sanjeev Kumar, et al.. (2021). Characterization of neutralizing versus binding antibodies and memory B cells in COVID-19 recovered individuals from India. Virology. 558. 13–21. 17 indexed citations
10.
Kuypers, Frans A., Christina A. Rostad, Evan J. Anderson, et al.. (2021). Secretory phospholipase A2 in SARS-CoV-2 infection and multisystem inflammatory syndrome in children (MIS-C). Experimental Biology and Medicine. 246(23). 2543–2552. 15 indexed citations
11.
Mantus, Grace, Lindsay E. Nyhoff, Robert C. Kauffman, et al.. (2021). Evaluation of Cellular and Serological Responses to Acute SARS-CoV-2 Infection Demonstrates the Functional Importance of the Receptor-Binding Domain. The Journal of Immunology. 206(11). 2605–2613. 9 indexed citations
12.
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
13.
Vanderheiden, Abigail, Venkata Viswanadh Edara, Katharine Floyd, et al.. (2020). Development of a Rapid Focus Reduction Neutralization Test Assay for Measuring SARS‐CoV‐2 Neutralizing Antibodies. Current Protocols in Immunology. 131(1). e116–e116. 59 indexed citations
14.
Cho, Alice, Robert C. Kauffman, Maurizio Affer, et al.. (2019). Single-Cell Analysis Suggests that Ongoing Affinity Maturation Drives the Emergence of Pemphigus Vulgaris Autoimmune Disease. Cell Reports. 28(4). 909–922.e6. 36 indexed citations
15.
Lynch, Rebecca M., Grace Mantus, Liliana Encinales, et al.. (2018). Augmented Zika and Dengue Neutralizing Antibodies Are Associated With Guillain-Barré Syndrome. The Journal of Infectious Diseases. 219(1). 26–30. 21 indexed citations
16.
Ho, Cheng‐Ying, Liliana Encinales, Alexandra Porras, et al.. (2018). Second-trimester Ultrasound and Neuropathologic Findings in Congenital Zika Virus Infection. The Pediatric Infectious Disease Journal. 37(12). 1290–1293. 3 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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