Mathilda Mennen

1.4k total citations
3 papers, 90 citations indexed

About

Mathilda Mennen is a scholar working on Infectious Diseases, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mathilda Mennen has authored 3 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 2 papers in Molecular Biology and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mathilda Mennen's work include SARS-CoV-2 and COVID-19 Research (3 papers), vaccines and immunoinformatics approaches (1 paper) and Receptor Mechanisms and Signaling (1 paper). Mathilda Mennen is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), vaccines and immunoinformatics approaches (1 paper) and Receptor Mechanisms and Signaling (1 paper). Mathilda Mennen collaborates with scholars based in United States and South Africa. Mathilda Mennen's co-authors include Sango Skelem, Wendy A. Burgers, Ntobeko Ntusi, Amkele Ngomti, Glenda Gray, Richard Baguma, Alessandro Sette, Linda‐Gail Bekker, Roanne Keeton and Catherine Riou and has published in prestigious journals such as Cell Host & Microbe and Cell Reports Medicine.

In The Last Decade

Mathilda Mennen

3 papers receiving 88 citations

Peers

Mathilda Mennen
Sango Skelem United States
Nicole P. Hachmann United States
Camille R. Mazurek United States
Ana Jimena Pavlovitch-Bedzyk United States
Mitchell L. Fahning United States
Robert C. Patio United States
Arbor G. Dykema United States
Eva Bednarski United States
Isabella Renzi United States
Chantal Morrisseau Canada
Sango Skelem United States
Mathilda Mennen
Citations per year, relative to Mathilda Mennen Mathilda Mennen (= 1×) peers Sango Skelem

Countries citing papers authored by Mathilda Mennen

Since Specialization
Citations

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

Fields of papers citing papers by Mathilda Mennen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathilda Mennen

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

All Works

3 of 3 papers shown
1.
Baguma, Richard, Amkele Ngomti, Mathilda Mennen, et al.. (2024). Post-pandemic memory T cell response to SARS-CoV-2 is durable, broadly targeted, and cross-reactive to the hypermutated BA.2.86 variant. Cell Host & Microbe. 32(2). 162–169.e3. 29 indexed citations
2.
Keeton, Roanne, Marius B. Tincho, Akiko Suzuki, et al.. (2022). Impact of SARS-CoV-2 exposure history on the T cell and IgG response. Cell Reports Medicine. 4(1). 100898–100898. 25 indexed citations
3.
Richardson, Simone I., Nelia P. Manamela, Haajira Kaldine, et al.. (2022). SARS-CoV-2 Beta and Delta variants trigger Fc effector function with increased cross-reactivity. Cell Reports Medicine. 3(2). 100510–100510. 36 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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2026