John Mwaba

944 citations
25 papers · 342 · h-index 11

Impact in

Papers in

John Mwaba

21 papers receiving 325 citations

Peers

John Mwaba
Comparison fields: 5 of 62
  • Endocrinology 203
  • Molecular Medicine 47
  • Modeling and Simulation 38
  • Applied Microbiology and Biotechnology 14
  • Food Science 90
Replace Georges Dahourou with:
Georges Dahourou United States
David Opare Ghana
Octavie Lunguya Belgium
Godwin Wilson Qatar
Mohammad Saiful Islam Sajib Bangladesh
S. J. Utsalo Nigeria
Wenjia Xiao China
Yahaya Mohammed Nigeria
Jacquelyn McCormick United Kingdom
Solayide A. Adesida Nigeria
John Mwaba relative to Georges Dahourou United States Georges Dahourou's profile →
Citations per field
00.5×4.3×
Georges Dahourou · 1×
Citations per year

Countries citing papers authored by John Mwaba

Since Specialization
Citations

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

Fields of papers citing papers by John Mwaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201468
2 200659
3 202031
4 202125
5 201721
6 201820
7 201717
8 201813
9 202012
10 202211
11 202111
12 20199
13 20238
14 20207
15 20226
16 20245
17 20235
18 20215
19 20165
20 20173

About John Mwaba

John Mwaba is a scholar working on Endocrinology, Infectious Diseases, Epidemiology, Molecular Medicine and Food Science, having authored 25 papers that have together received 342 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (14 papers), Viral gastroenteritis research and epidemiology (4 papers), Escherichia coli research studies (3 papers), Antibiotic Resistance in Bacteria (3 papers), Salmonella and Campylobacter epidemiology (3 papers), COVID-19 epidemiological studies (2 papers), Influenza Virus Research Studies (2 papers) and Aquaculture disease management and microbiota (1 paper). The work is most often cited by research in Endocrinology (203 citations), Molecular Medicine (47 citations), Modeling and Simulation (38 citations), Applied Microbiology and Biotechnology (14 citations) and Food Science (90 citations). John Mwaba has collaborated with scholars based in Zambia, United States and Ghana. Frequent co-authors include James Mwansa, Geoffrey Kwenda, Roma Chilengi, Michelo Simuyandi, Caroline Cleopatra Chisenga, M. Ansaruzzaman, N. A. Bhuiyan, Thandavarayan Ramamurthy, Munirul Alam and G. Balakrish Nair. Their work appears in journals such as PLoS ONE, Epidemiology and Infection, PLoS Medicine, Tropical Medicine & International Health and Journal of Clinical Microbiology.

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.

Explore authors with similar magnitude of impact