Emmanuel Rusingiza

28 papers receiving 354 citations

Peers

Emmanuel Rusingiza
Comparison fields: 5 of 69
  • Applied Microbiology and Biotechnology 37
  • Health Information Management 24
  • Critical Care and Intensive Care Medicine 25
  • Cardiology and Cardiovascular Medicine 110
  • Geriatrics and Gerontology 16
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Russell Migita United States
Raveena Kelkar India
Matthew Skinner Australia
Tarso Augusto Duenhas Accorsi Brazil
Scott Husak United States
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Citations per field
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Citations per year

Countries citing papers authored by Emmanuel Rusingiza

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Rusingiza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20240
4 20241
5 20240
6 20225
7 20221
8 20206
9 20202
10 20204
11 20199
12 201915
13 20182
14 201815
15 201721
16 20147
17 201369
18
Patients With Noonan Syndrome Phenotype: Spectrum Of Clinical FeaturesAnd Congenital Heart Defect
20131
19 201211
20 200824

About Emmanuel Rusingiza

Emmanuel Rusingiza is a scholar working on Health Information Management, Geriatrics and Gerontology, Applied Microbiology and Biotechnology, Emergency Medical Services and Organizational Behavior and Human Resource Management, having authored 30 papers that have together received 362 indexed citations. Recurring topics across this work include Global Health and Epidemiology (5 papers), Congenital Heart Disease Studies (4 papers), Global Health and Surgery (4 papers), Streptococcal Infections and Treatments (4 papers), Infective Endocarditis Diagnosis and Management (4 papers), Global Public Health Policies and Epidemiology (4 papers), Global Health Workforce Issues (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (37 citations), Health Information Management (24 citations), Critical Care and Intensive Care Medicine (25 citations), Cardiology and Cardiovascular Medicine (110 citations) and Geriatrics and Gerontology (16 citations). Emmanuel Rusingiza has collaborated with scholars based in Rwanda, United States and Belgium. Frequent co-authors include Joseph Mucumbitsi, Gene Bukhman, Gedeon Ngoga, Gene F. Kwan, Symaque Dusabeyezu, Cadet Mutumbira, Léon Mutesa, Suellen Breakey, Vincent Bours and Charlotte Bavuma. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, Journal of the American College of Cardiology, Journal of Medical Screening, Journal of Pharmaceutical Policy and Practice 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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