John Mukisa

854 citations
49 papers · 302 · h-index 11

Impact in

Papers in

John Mukisa

38 papers receiving 293 citations

Peers

John Mukisa
Comparison fields: 5 of 88
  • Infectious Diseases 64
  • Emergency Medicine 27
  • Obstetrics and Gynecology 16
  • Radiological and Ultrasound Technology 11
  • Modeling and Simulation 9
Replace Maria Grazia Valsecchi with:
Maria Grazia Valsecchi Italy
Vasiliki Papaevangelou Greece
Nitin Dhochak India
David Dawei Yang France
Cristian Tedesco Tonial Brazil
Andrea Duca Italy
Katri Backman Finland
José Antônio Monteiro Flores Brazil
Osman Yeşilbaş Türkiye
Benjamin Momo Kadia Cameroon
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Citations per field
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Maria Grazia Valsecchi · 1×
Citations per year

Countries citing papers authored by John Mukisa

Since Specialization
Citations

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

Fields of papers citing papers by John Mukisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201943
2 202229
3 202121
4 201921
5 202214
6 202213
7 201913
8 202312
9 201611
10 201711
11 201811
12 202110
13 202310
14 20219
15 20219
16 20226
17 20236
18 20225
19 20005
20 20224

About John Mukisa

John Mukisa is a scholar working on Infectious Diseases, Epidemiology, Emergency Medicine, Ophthalmology and Public Health, Environmental and Occupational Health, having authored 49 papers that have together received 302 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), HIV-related health complications and treatments (4 papers), Child Nutrition and Water Access (3 papers), Blood Pressure and Hypertension Studies (2 papers), Cervical Cancer and HPV Research (2 papers), HIV/AIDS Research and Interventions (2 papers), Ureteral procedures and complications (2 papers) and Global Maternal and Child Health (2 papers). The work is most often cited by research in Infectious Diseases (64 citations), Emergency Medicine (27 citations), Obstetrics and Gynecology (16 citations), Radiological and Ultrasound Technology (11 citations) and Modeling and Simulation (9 citations). John Mukisa has collaborated with scholars based in Uganda, United States and United Kingdom. Frequent co-authors include Charles Batte, Cornelius Sendagire, Arthur Kwizera, Peter Kaahwa Agaba, Josaphat Byamugisha, Andrew Sentoogo Ssemata, Achilles Katamba, Judith Ajeani, Robert Kalyesubula and David Mukunya. Their work appears in journals such as PLoS ONE, BMC Public Health, BMC Nursing, BMC Cardiovascular Disorders and BMC Pregnancy and Childbirth.

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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