Matshidiso Moeti

1.8k citations
41 papers · 858 indexed · h-index 14
Topics
Viral Infections and Outbreaks Research (10 papers)COVID-19 epidemiological studies (9 papers)Healthcare Systems and Reforms (7 papers)

In The Last Decade

Matshidiso Moeti

39 papers receiving 818 citations

Peers

Matshidiso Moeti
Comparison fields: 5 of 130
  • Infectious Diseases 308
  • Modeling and Simulation 208
  • General Health Professions 207
  • Health 136
  • Pediatrics, Perinatology and Child Health 136
Replace Muhammad Ali Pate with:
Muhammad Ali Pate United States
Francisco Pozo-Martin Germany
Robert Kaba Alhassan Ghana
Francis Omaswa United States
Ngozi Erondu United Kingdom
Obinna Ositadimma Oleribe United Kingdom
Shishi Wu United Kingdom
Haja Wurie Sierra Leone
Hillary Kipruto Kenya
Juliet Nabyonga‐Orem Republic of the Congo
Matshidiso Moeti relative to Muhammad Ali Pate United States Muhammad Ali Pate's profile →
Citations per field
00.5×1.5×2.3×
Muhammad Ali Pate · 1×
Citations per year

Countries citing papers authored by Matshidiso Moeti

Since Specialization
Citations

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

Fields of papers citing papers by Matshidiso Moeti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matshidiso Moeti

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 2
3 6
4 2
5 0
6 10
7 61
8 26
9 37
10 9
11 9
12 11
13 86
14 1
15 16
16 10
17 8
18 28
19 90
20 19

About Matshidiso Moeti

Matshidiso Moeti is a scholar working on Modeling and Simulation, Emergency Medical Services and Infectious Diseases, having authored 41 papers that have together received 858 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (10 papers), COVID-19 epidemiological studies (9 papers) and Healthcare Systems and Reforms (7 papers). The work is most often cited by research in Modeling and Simulation (208 citations), Infectious Diseases (308 citations) and Health (136 citations). Matshidiso Moeti has collaborated with scholars based in Republic of the Congo, Switzerland and United States. Frequent co-authors include Ilona Kickbusch, Detlev Ganten, Kathleen F. Norr, Annie Sparrow, Daniel R. Lucey, Tedros Adhanom Ghebreyesus, Vinh‐Kim Nguyen, Joses Muthuri Kirigia, Joseph Cabore and Eyob Zere. Their work appears in journals such as New England Journal of Medicine, The Lancet and PLoS ONE.

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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