John Mugamba

1.2k citations
23 papers · 717 indexed · h-index 16

Impact in

Papers in

John Mugamba

21 papers receiving 706 citations

Peers

John Mugamba
Comparison fields: 5 of 58
  • Cellular and Molecular Neuroscience 528
  • Pediatrics, Perinatology and Child Health 470
  • Public Health, Environmental and Occupational Health 319
  • Neurology 145
  • Genetics 65
Replace Peter Ssenyonga with:
Peter Ssenyonga United States
Enoch Uche Nigeria
Aprajay Golash United Kingdom
Marc Ossip Canada
S M Wolpert United States
Tina Nørgaard Munch Denmark
Satoshi Sawauchi Japan
Esther L. Wylen United States
José Marcus Rotta Brazil
Erica Jacobson Australia
John Mugamba relative to Peter Ssenyonga United States Peter Ssenyonga's profile →
Citations per field
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Peter Ssenyonga · 1×
Citations per year

Countries citing papers authored by John Mugamba

Since Specialization
Citations

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

Fields of papers citing papers by John Mugamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010105
2 201793
3 201280
4 201050
5 201149
6 201447
7 201345
8 201735
9 201235
10 201530
11 201326
12 201025
13 201223
14 202117
15 201916
16 202015
17 20148
18 20198
19 20144
20 20214

About John Mugamba

John Mugamba is a scholar working on Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health, Surgery and Neurology, having authored 23 papers that have together received 717 indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (17 papers), Fetal and Pediatric Neurological Disorders (16 papers), Neonatal and fetal brain pathology (12 papers), Spinal Dysraphism and Malformations (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Organ Donation and Transplantation (2 papers), Glioma Diagnosis and Treatment (2 papers) and Nerve Injury and Rehabilitation (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (528 citations), Pediatrics, Perinatology and Child Health (470 citations), Public Health, Environmental and Occupational Health (319 citations), Neurology (145 citations) and Genetics (65 citations). John Mugamba has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Benjamin C. Warf, Abhaya V. Kulkarni, Peter Ssenyonga, Vita Stagno, Sarah Tracy, Michael C. Dewan, Steven J. Schiff, Ruth Donnelly, Venkateswararao Cherukuri and Brian Nsubuga Kaaya. Their work appears in journals such as Journal of Neurosurgery Pediatrics, Child s Nervous System, Neurosurgery, World Neurosurgery and BMJ Global Health.

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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