John Mwaba
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Vibrio bacteria research studies 15
- Escherichia coli research studies 3
-
- Influenza Virus Research Studies 5
- Co-authors
- James Mwansa (6 shared papers)Geoffrey Kwenda (10 shared papers)Roma Chilengi (10 shared papers)Michelo Simuyandi (9 shared papers)Caroline Cleopatra Chisenga (9 shared papers)Thandavarayan Ramamurthy (1 shared paper)Munirul Alam (1 shared paper)M. Ansaruzzaman (1 shared paper)
- Journals
- PLoS ONE (3 papers)PLoS Medicine (2 papers)Epidemiology and Infection (2 papers)International Health (1 paper)Journal of Clinical Microbiology (1 paper)
- Partner nations
- ZambiaUnited StatesGhana
In The Last Decade
John Mwaba
21 papers receiving 302 citations
Peers
Comparison fields: 5 of 68
- Endocrinology 208
- Molecular Medicine 69
- Modeling and Simulation 43
- Applied Microbiology and Biotechnology 15
- Food Science 107
Countries citing papers authored by John Mwaba
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
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.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 67 | |
| 2 | 2006 | 52 | |
| 3 | 2020 | 28 | |
| 4 | 2021 | 22 | |
| 5 | 2018 | 20 | |
| 6 | 2017 | 19 | |
| 7 | 2017 | 17 | |
| 8 | 2018 | 12 | |
| 9 | 2020 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2023 | 8 | |
| 13 | 2020 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2016 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2017 | 3 |
About John Mwaba
John Mwaba is a scholar working on Endocrinology, Epidemiology, Infectious Diseases, Food Science and Molecular Medicine, having authored 24 papers that have together received 319 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (15 papers), Salmonella and Campylobacter epidemiology (7 papers), Antibiotic Resistance in Bacteria (6 papers), Influenza Virus Research Studies (5 papers), Vaccine Coverage and Hesitancy (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Escherichia coli research studies (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Endocrinology (208 citations), Molecular Medicine (69 citations), Modeling and Simulation (43 citations), Applied Microbiology and Biotechnology (15 citations) and Food Science (107 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, Thandavarayan Ramamurthy, Munirul Alam, M. Ansaruzzaman, N. A. Bhuiyan and G. Balakrish Nair. Their work appears in journals such as PLoS ONE, PLoS Medicine, Epidemiology and Infection, 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.