William Mude

19 papers receiving 357 citations

William Mude's Hit Papers

Racial disparities in COVID-19 pandemic cases, hospitalisations, and deaths: A systematic review and meta-analysis 2021 · 172 citations
1720+1+3Years since publication50100150

Peers

William Mude
Comparison fields: 5 of 76
  • Health 34
  • Clinical Psychology 77
  • Hepatology 22
  • Modeling and Simulation 14
  • General Health Professions 60
Replace Kerryn Drysdale with:
Kerryn Drysdale Australia
Prakash Javalkar India
Wen Ting Tong Malaysia
Bhola Nath India
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JESSICA CLARK NEWMAN United States
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Citations per year

Countries citing papers authored by William Mude

Since Specialization
Citations

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

Fields of papers citing papers by William Mude

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William Mude, 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 Mude Line = papers co-authored together William Mude links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Racial disparities in COVID-19 pandemic cases, hospitalisations, and deaths: A systematic review and meta-analysis
Hit paper breakdown →
2021172
2 202032
3 202229
4 201918
5 202314
6 202114
7 202113
8 202312
9 202011
10 202011
11 20169
12 20226
13 20205
14 20204
15 20193
16
'We should eat it wisely, in a good way': Knowledge, perceptions and understanding of childhood obesity and overweight among Sudanese refugee parents in South Australia
20133
17 20252
18 20231
19 20211
20 20220

About William Mude

William Mude is a scholar working on General Health Professions, Clinical Psychology, Sociology and Political Science, Epidemiology and Education, having authored 21 papers that have together received 360 indexed citations. Recurring topics across this work include Migration, Health and Trauma (6 papers), Racial and Ethnic Identity Research (4 papers), Education and experiences of immigrants and refugees (4 papers), Obesity, Physical Activity, Diet (3 papers), HIV/AIDS Research and Interventions (3 papers), Child Nutrition and Water Access (2 papers), Hepatitis B Virus Studies (2 papers) and Adolescent Sexual and Reproductive Health (2 papers). The work is most often cited by research in Health (34 citations), Clinical Psychology (77 citations), Hepatology (22 citations), Modeling and Simulation (14 citations) and General Health Professions (60 citations). William Mude has collaborated with scholars based in Australia, United Kingdom and Ethiopia. Frequent co-authors include Lillian Mwanri, Tafadzwa Nyanhanda, Carolyne Njue, Victor M. Oguoma, Sally Baker, Jack Wallace, Christopher Fisher, Jacqui Richmond, Joel Anderson and Lisa Hartley. Their work appears in journals such as International Journal of Environmental Research and Public Health, AIDS and Behavior, Educational Review, Journal of Immigrant and Minority 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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