William Msemburi

5.9k citations
19 papers · 1.3k · 2 hit papers · h-index 16

Impact in

Papers in

William Msemburi

19 papers receiving 1.3k citations

William Msemburi's Hit Papers

The WHO estimates of excess mortality associated with the COVID-19 pandemic 2022 · 502 citations
5020+3+6Years since publication100200300400500

Peers

William Msemburi
Comparison fields: 5 of 143
  • Modeling and Simulation 99
  • Health 161
  • Infectious Diseases 214
  • Emergency Medicine 61
  • General Health Professions 165
Replace Liang En Wee with:
Liang En Wee Singapore
Liana Woskie United States
Daniel Fort United States
Claudia Hanson Sweden
Andrew Calzavara Canada
Andrew Anglemyer United States
Piyush Ranjan India
Ahmed Hossain Bangladesh
Reed J D Sorensen United States
Kristen M.J. Azar United States
William Msemburi relative to Liang En Wee Singapore Liang En Wee's profile →
Citations per field
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Countries citing papers authored by William Msemburi

Since Specialization
Citations

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

Fields of papers citing papers by William Msemburi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William Msemburi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Msemburi Line = papers co-authored together William Msemburi links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
The WHO estimates of excess mortality associated with the COVID-19 pandemic
Hit paper breakdown →
2022502
2
Mortality trends and differentials in South Africa from 1997 to 2012: second National Burden of Disease Study
Hit paper breakdown →
2016278
3 201598
4 202364
5 201660
6 201752
7 202242
8 202231
9 201331
10 201329
11 201527
12 202127
13 201826
14 202326
15 201924
16 201218
17 201911
18 20221
19 20241

About William Msemburi

William Msemburi is a scholar working on General Health Professions, Pediatrics, Perinatology and Child Health, Modeling and Simulation, Health and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Health and Conflict Studies (3 papers), COVID-19 epidemiological studies (3 papers), Global Maternal and Child Health (3 papers), HIV/AIDS Impact and Responses (2 papers), COVID-19 and healthcare impacts (2 papers), Intergenerational Family Dynamics and Caregiving (2 papers), Global Health Care Issues (1 paper) and Sodium Intake and Health (1 paper). The work is most often cited by research in Modeling and Simulation (99 citations), Health (161 citations), Infectious Diseases (214 citations), Emergency Medicine (61 citations) and General Health Professions (165 citations). William Msemburi has collaborated with scholars based in South Africa, United States and Switzerland. Frequent co-authors include Jon Wakefield, Victoria Knutson, Ariel Karlinsky, Serge Aleshin‐Guendel, Somnath Chatterji, Debbie Bradshaw, Victoria Pillay‐van Wyk, Ria Laubscher, Rob Dorrington and Richard Matzopoulos. Their work appears in journals such as AIDS, Vaccine, Journal of Alzheimer s Disease, The Lancet Global Health 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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