John Mwaba
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
-
- Antibiotic Use and Resistance
Papers in
-
- Vibrio bacteria research studies 14
- Escherichia coli research studies 2
-
- Pneumonia and Respiratory Infections 7
- Co-authors
- James C. L. Mwansa (6 shared papers)Geoffrey Kwenda (10 shared papers)Roma Chilengi (10 shared papers)Caroline Cleopatra Chisenga (9 shared papers)Michelo Simuyandi (9 shared papers)Chileshe Lukwesa‐Musyani (5 shared papers)N. A. Bhuiyan (1 shared paper)Mohammed Ansaruzzaman (1 shared paper)
- Journals
- Clinical Infectious Diseases (6 papers)PLoS ONE (3 papers)Epidemiology and Infection (2 papers)Vaccine (1 paper)PLoS Medicine (1 paper)
- Partner nations
- ZambiaUnited StatesSouth Africa
In The Last Decade
John Mwaba
31 papers receiving 694 citations
Peers
Comparison fields: 5 of 66
- Endocrinology 215
- Applied Microbiology and Biotechnology 35
- Epidemiology 227
- Molecular Medicine 28
- Food Science 75
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 78 | |
| 2 | 2014 | 75 | |
| 3 | 2018 | 67 | |
| 4 | 2006 | 62 | |
| 5 | 2017 | 49 | |
| 6 | 2017 | 46 | |
| 7 | 2017 | 38 | |
| 8 | 2020 | 34 | |
| 9 | 2017 | 33 | |
| 10 | 2021 | 25 | |
| 11 | 2017 | 23 | |
| 12 | 2018 | 20 | |
| 13 | 2020 | 19 | |
| 14 | 2017 | 18 | |
| 15 | 2018 | 18 | |
| 16 | 2020 | 14 | |
| 17 | 2021 | 12 | |
| 18 | 2021 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2022 | 9 |
About John Mwaba
John Mwaba is a scholar working on Endocrinology, Epidemiology, Infectious Diseases, Molecular Medicine and Food Science, having authored 33 papers that have together received 711 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (14 papers), Pneumonia and Respiratory Infections (7 papers), Salmonella and Campylobacter epidemiology (3 papers), Escherichia coli research studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Antibiotic Resistance in Bacteria (2 papers), Vaccine Coverage and Hesitancy (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Endocrinology (215 citations), Applied Microbiology and Biotechnology (35 citations), Epidemiology (227 citations), Molecular Medicine (28 citations) and Food Science (75 citations). John Mwaba has collaborated with scholars based in Zambia, United States and South Africa. Frequent co-authors include James C. L. Mwansa, Geoffrey Kwenda, Roma Chilengi, Caroline Cleopatra Chisenga, Michelo Simuyandi, Chileshe Lukwesa‐Musyani, N. A. Bhuiyan, Mohammed Ansaruzzaman, Gopinath Balakrish Nair and Munirul Alam. Their work appears in journals such as Clinical Infectious Diseases, PLoS ONE, Epidemiology and Infection, Vaccine and PLoS Medicine.
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.