Ntombi Benede

1.1k total citations
3 papers, 31 citations indexed

About

Ntombi Benede is a scholar working on Infectious Diseases, Surgery and Epidemiology. According to data from OpenAlex, Ntombi Benede has authored 3 papers receiving a total of 31 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 2 papers in Surgery and 1 paper in Epidemiology. Recurrent topics in Ntombi Benede's work include SARS-CoV-2 and COVID-19 Research (2 papers), Tuberculosis Research and Epidemiology (1 paper) and COVID-19 Clinical Research Studies (1 paper). Ntombi Benede is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (2 papers), Tuberculosis Research and Epidemiology (1 paper) and COVID-19 Clinical Research Studies (1 paper). Ntombi Benede collaborates with scholars based in South Africa, United States and Sri Lanka. Ntombi Benede's co-authors include Akiko Suzuki, Amkele Ngomti, Glenda Gray, Mallory Bernstein, Yashica Ganga, Salim S. Abdool Karim, Sango Skelem, Mathilda Mennen, Alessandro Sette and Kogieleum Naidoo and has published in prestigious journals such as Vaccine, Infection and Drug Resistance and Cell Reports Medicine.

In The Last Decade

Ntombi Benede

2 papers receiving 31 citations

Peers

Ntombi Benede
Shaun Dabe United States
Sharon Hsu United Kingdom
Konstantinos Liatsikos United Kingdom
Nana‐Marie Lemm United Kingdom
Ian Hentenaar United States
Shaun Dabe United States
Ntombi Benede
Citations per year, relative to Ntombi Benede Ntombi Benede (= 1×) peers Shaun Dabe

Countries citing papers authored by Ntombi Benede

Since Specialization
Citations

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

Fields of papers citing papers by Ntombi Benede

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ntombi Benede

This figure shows the co-authorship network connecting the top 25 collaborators of Ntombi Benede. A scholar is included among the top collaborators of Ntombi Benede 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 Ntombi Benede. Ntombi Benede 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.
Day, Jonathan, Ntombi Benede, Thandeka Moyo-Gwete, et al.. (2025). Humoral, T cell and immune gene expression responses to SARS-CoV-2 vaccination in a small group of children with previous MIS-C. Vaccine. 62. 127461–127461.
2.
Rodel, Hylton, Rubeshan Perumal, Yashica Ganga, et al.. (2023). Metformin Increases Cell Viability and Regulates Pro-Inflammatory Response to Mtb. Infection and Drug Resistance. Volume 16. 3629–3638. 6 indexed citations
3.
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

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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