Caroline Mudara

945 total citations · 1 hit paper
9 papers, 261 citations indexed

About

Caroline Mudara is a scholar working on Infectious Diseases, Modeling and Simulation and Neurology. According to data from OpenAlex, Caroline Mudara has authored 9 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 5 papers in Modeling and Simulation and 3 papers in Neurology. Recurrent topics in Caroline Mudara's work include COVID-19 epidemiological studies (5 papers), COVID-19 Clinical Research Studies (5 papers) and COVID-19 and Mental Health (3 papers). Caroline Mudara is often cited by papers focused on COVID-19 epidemiological studies (5 papers), COVID-19 Clinical Research Studies (5 papers) and COVID-19 and Mental Health (3 papers). Caroline Mudara collaborates with scholars based in South Africa, United Kingdom and United States. Caroline Mudara's co-authors include Waasila Jassat, Michelle J. Groome, Cheryl Cohen, Richard Welch, Salim S. Abdool Karim, Anne von Gottberg, Lovelyn Ozougwu, Nevashan Govender, Nicole Wolter and Milani Wolmarans and has published in prestigious journals such as Clinical Infectious Diseases, BMC Public Health and The Lancet Global Health.

In The Last Decade

Caroline Mudara

9 papers receiving 256 citations

Hit Papers

Clinical severity of COVID-19 in patients admitted to hos... 2022 2026 2023 2024 2022 25 50 75 100

Peers

Caroline Mudara
Comparison fields: 5 of 52
  • Infectious Diseases 178
  • Neurology 123
  • Clinical Psychology 60
  • Critical Care and Intensive Care Medicine 34
  • Modeling and Simulation 32
Replace Ki-Hyun Chung with:
Ki-Hyun Chung South Korea
Anchen Laubscher South Africa
Karine Beiruti Wiegler Israel
Miriam Nji United States
Lilac Tene Israel
Bo Ram Koh South Korea
Mayu Ikeda Japan
Uzma Ishaq Pakistan
Virginia Quaresima Italy
Ki-Hyun Chung South Korea View profile →
Citations per field, relative to Caroline Mudara
Caroline Mudara · 1×
Citations per year, relative to Caroline Mudara
Caroline Mudara · 1×

Countries citing papers authored by Caroline Mudara

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Mudara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Mudara

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 2
2 41
3 6
4 54
5
Clinical severity of COVID-19 in patients admitted to hospital during the omicron wave in South Africa: a retrospective observational study breakdown →
117
6 1
7 2
8 18
9 20

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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