Webster Kasongo

488 citations
16 papers · 380 · h-index 12

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • Tuberculosis Research and Epidemiology
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment

Papers in

    • HIV/AIDS Research and Interventions 5
    • Tuberculosis Research and Epidemiology 3
    • HIV Research and Treatment 2

Webster Kasongo

15 papers receiving 371 citations

Peers

Webster Kasongo
Comparison fields: 5 of 33
  • Virology 68
  • Infectious Diseases 164
  • Public Health, Environmental and Occupational Health 138
  • Emergency Medicine 6
  • Physiology 13
Replace Yamina Hammou with:
Yamina Hammou France
Haswell Jere Italy
P Miotti United States
Fabienne Mazy France
N Mackie United Kingdom
Brigitte Heller-Roussin France
Jacob Konikoff United States
Judith D. Shang United States
Catherine Quillet France
Sandesh Patil United States
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Citations per field
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Citations per year

Countries citing papers authored by Webster Kasongo

Since Specialization
Citations

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

Fields of papers citing papers by Webster Kasongo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200671
2 201857
3 200744
4 200636
5
Predominance of a single genotype of Mycobacterium tuberculosis in regions of Southern Africa.
200732
6 201725
7 201218
8 200917
9 201717
10 201016
11 201116
12 202014
13 202110
14 20225
15 20182
16 20180

About Webster Kasongo

Webster Kasongo is a scholar working on Infectious Diseases, Virology, Public Health, Environmental and Occupational Health, Physiology and Epidemiology, having authored 16 papers that have together received 380 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (5 papers), Malaria Research and Control (5 papers), Tuberculosis Research and Epidemiology (3 papers), HIV Research and Treatment (2 papers), Syphilis Diagnosis and Treatment (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Virology (68 citations), Infectious Diseases (164 citations), Public Health, Environmental and Occupational Health (138 citations), Emergency Medicine (6 citations) and Physiology (13 citations). Webster Kasongo has collaborated with scholars based in Zambia, United States and Belgium. Frequent co-authors include Modest Mulenga, Umberto D’Alessandro, Jean‐Pierre Van Geertruyden, Victor Chalwe, Luc Kestens, Robert Colebunders, Lawrence M Mwananyanda, Chantal Van Overmeir, Filip Moerman and Paul D. van Helden. Their work appears in journals such as Malaria Journal, PLoS ONE, Sexually Transmitted Infections, Journal of the International AIDS Society and American Journal of Tropical Medicine and Hygiene.

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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