Charles Kumakamba

548 total citations
7 papers, 81 citations indexed

About

Charles Kumakamba is a scholar working on Infectious Diseases, Agronomy and Crop Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Charles Kumakamba has authored 7 papers receiving a total of 81 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 2 papers in Agronomy and Crop Science and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Charles Kumakamba's work include Viral Infections and Outbreaks Research (5 papers), Viral Infections and Vectors (3 papers) and COVID-19 epidemiological studies (2 papers). Charles Kumakamba is often cited by papers focused on Viral Infections and Outbreaks Research (5 papers), Viral Infections and Vectors (3 papers) and COVID-19 epidemiological studies (2 papers). Charles Kumakamba collaborates with scholars based in Democratic Republic of the Congo, United States and Canada. Charles Kumakamba's co-authors include Karen Saylors, Placide Mbala, Patrick Ayscue, Ben Oppenheim, Sheila Makiala‐Mandanda, David J. McIver, Jacques Likofata, Placide Mbala‐Kingebeni, Nicole Vidal and Daniel Mukadi‐Bamuleka and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Ecological Monographs.

In The Last Decade

Charles Kumakamba

7 papers receiving 78 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Charles Kumakamba Democratic Republic of the Congo 6 50 21 16 11 10 7 81
Justus Nsio Democratic Republic of the Congo 6 86 1.7× 48 2.3× 23 1.4× 38 3.5× 13 1.3× 10 139
Jover Lee United States 3 72 1.4× 15 0.7× 38 2.4× 22 2.0× 37 3.7× 5 126
Hiroaki Arima Japan 7 29 0.6× 61 2.9× 11 0.7× 16 1.5× 8 0.8× 18 154
James Koninga United Kingdom 2 74 1.5× 45 2.1× 14 0.9× 18 1.6× 9 0.9× 3 99
N’Fally Magassouba Guinea 7 127 2.5× 23 1.1× 17 1.1× 16 1.5× 18 1.8× 11 147
Guglielmo Ferrari Italy 7 68 1.4× 15 0.7× 45 2.8× 5 0.5× 6 0.6× 19 108
Jessica Cowden United States 7 37 0.7× 70 3.3× 23 1.4× 5 0.5× 22 2.2× 15 157
Jennifer Dillaha United States 5 63 1.3× 13 0.6× 69 4.3× 14 1.3× 20 2.0× 8 138
Hugo Kavunga‐Membo Democratic Republic of the Congo 7 62 1.2× 23 1.1× 42 2.6× 12 1.1× 6 0.6× 12 123
Luis A. Haddock United States 3 48 1.0× 5 0.2× 28 1.8× 13 1.2× 6 0.6× 4 84

Countries citing papers authored by Charles Kumakamba

Since Specialization
Citations

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

Fields of papers citing papers by Charles Kumakamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Kumakamba

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Kumakamba. A scholar is included among the top collaborators of Charles Kumakamba based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charles Kumakamba. Charles Kumakamba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Lange, Christian E., Thomas R. Barnum, David J. McIver, et al.. (2024). Ebolavirus evolution and emergence are associated with land use change. Ecological Monographs. 95(1). e1641–e1641. 1 indexed citations
2.
Kumakamba, Charles, Karen Saylors, Maria Makuwa, et al.. (2022). Risk perceptions and behaviors of actors in the wild animal value chain in Kinshasa, Democratic Republic of Congo. PLoS ONE. 17(2). e0261601–e0261601. 12 indexed citations
3.
Kumakamba, Charles, Christian E. Lange, Jacques Likofata, et al.. (2020). Serology and Behavioral Perspectives on Ebola Virus Disease Among Bushmeat Vendors in Equateur, Democratic Republic of the Congo, After the 2018 Outbreak. Open Forum Infectious Diseases. 7(8). ofaa295–ofaa295. 6 indexed citations
4.
Kumakamba, Charles, Frida N’Kawa, Placide Mbala Kingebeni, et al.. (2019). Analysis of adenovirus DNA detected in rodent species from the Democratic Republic of the Congo indicates potentially novel adenovirus types. New Microbes and New Infections. 34. 100640–100640. 6 indexed citations
5.
Oppenheim, Ben, et al.. (2019). Knowledge and beliefs about Ebola virus in a conflict-affected area: early evidence from the North Kivu outbreak. Journal of Global Health. 9(2). 20311–20311. 18 indexed citations
6.
Mbala‐Kingebeni, Placide, Christian Julián Villabona‐Arenas, Nicole Vidal, et al.. (2018). Rapid Confirmation of the Zaire Ebola Virus in the Outbreak of the Equateur Province in the Democratic Republic of Congo: Implications for Public Health Interventions. Clinical Infectious Diseases. 68(2). 330–333. 30 indexed citations
7.
Kumakamba, Charles, Placide Mbala Kingebeni, Frida N’Kawa, et al.. (2018). DNA indicative of human bocaviruses detected in non-human primates in the Democratic Republic of the Congo. Journal of General Virology. 99(5). 676–681. 8 indexed citations

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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