Michel Ntemgwa

2.5k citations
17 papers · 1.8k indexed · 2 hit papers · h-index 10

Michel Ntemgwa

17 papers receiving 1.8k citations

Hit Papers

The threat of antimicrobial resistance i...8782007202620132019250500750

Peers

Michel Ntemgwa
Comparison fields: 5 of 120
  • Applied Microbiology and Biotechnology 393
  • Virology 765
  • Molecular Medicine 348
  • Infectious Diseases 953
  • Geriatrics and Gerontology 56
Replace Gerardo Alvarez‐Uria with:
Gerardo Alvarez‐Uria India
Kinh Van Nguyen Vietnam
Mattias Larsson Sweden
Silvia Bertagnolio Switzerland
Birkneh Tilahun Tadesse Ethiopia
Sinata Koulla‐Shiro Cameroon
Erika Vlieghe Belgium
Martin E. Evans United States
Salequl Islam Bangladesh
Dilip Mathai India
Michel Ntemgwa relative to Gerardo Alvarez‐Uria India Gerardo Alvarez‐Uria's profile →
Citations per field
00.5×5.2×
Gerardo Alvarez‐Uria · 1×
Citations per year

Countries citing papers authored by Michel Ntemgwa

Since Specialization
Citations

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

Fields of papers citing papers by Michel Ntemgwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20204
2 20174
3
The threat of antimicrobial resistance in developing countries: causes and control strategiesbreakdown →
2017878
4 20101
5 20099
6 200943
7 200965
8 200927
9 200811
10 20083
11 20088
12 200823
13
High Rates of Forward Transmission Events after Acute/Early HIV‐1 Infectionbreakdown →
2007501
14 200727
15 2006174
16 20063
17 200653

About Michel Ntemgwa

Michel Ntemgwa is a scholar working on Virology, Infectious Diseases and Applied Microbiology and Biotechnology, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (13 papers), HIV/AIDS drug development and treatment (13 papers), HIV/AIDS Research and Interventions (9 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Viral gastroenteritis research and epidemiology (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), COVID-19 epidemiological studies (1 paper) and ICT in Developing Communities (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (393 citations), Virology (765 citations) and Molecular Medicine (348 citations). Michel Ntemgwa has collaborated with scholars based in Canada, Ivory Coast and Cameroon. Frequent co-authors include James A. Ayukekbong, Mark A. Wainberg, Bluma Brenner, Daniela Moïsi, Maureen Oliveira, Jean‐Pierre Routy, Réjean Thomas, Roger LeBlanc, Hugues Charest and Jean‐Guy Baril. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, AIDS Research and Human Retroviruses, AIDS, Journal of the International AIDS Society and Antimicrobial Resistance and Infection Control.

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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