DR Congo

6.5k papers and 86.7k indexed citations i.

About

In recent decades scholars affiliated with institutions in DR Congo have published 6.5k papers, which have received a total of 86.7k indexed citations. Scholars in DR Congo publish mostly in Infectious Diseases (1.0k papers), Public Health, Environmental and Occupational Health (924 papers) and Epidemiology (898 papers) and are cited by scholars working on Infectious Diseases (17.4k citations), Epidemiology (13.7k citations) and Public Health, Environmental and Occupational Health (12.8k citations). Scholars in DR Congo collaborate with scholars from Belgium, United States and France. Scholars in DR Congo have published in prestigous journals including Nature, Science and New England Journal of Medicine.

In The Last Decade

Fields of papers citing works of authors working in DR Congo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by authors working at institutions in DR Congo. 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 authors working at institutions in DR Congo. The network helps show where authors in DR Congo may publish in the future.

Countries collaborating with authors based in DR Congo

Since Specialization
Citations

This map shows the geographic impact of research produced by institutions in DR Congo. 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 papers from institutions in DR Congo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DR Congo more than expected).

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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2025