Maisa Kasanga
- Applied Microbiology and Biotechnology top 1%
- Molecular Medicine top 5%
- Infectious Diseases
- Pollution
- Clinical Psychology
- Co-authors
- Steward MudendaWebrod MufwambiVictor DakaRuth Lindizyani MfuneScott Kaba MatafwaliMichelo BandaBilly ChabalengeJian Wu
- Topics
- Antibiotic Use and Resistance (14 papers)Antibiotic Resistance in Bacteria (9 papers)COVID-19 and Mental Health (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesInternational Journal of Environmental Research and Public Health
- Partner nations
- ZambiaChinaUnited Kingdom
In The Last Decade
Maisa Kasanga
34 papers receiving 336 citations
Peers
Comparison fields: 5 of 86
- Applied Microbiology and Biotechnology 147
- Molecular Medicine 96
- Infectious Diseases 66
- Pollution 46
- Clinical Psychology 46
Countries citing papers authored by Maisa Kasanga
This map shows the geographic impact of Maisa Kasanga'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 Maisa Kasanga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maisa Kasanga more than expected).
Fields of papers citing papers by Maisa Kasanga
This network shows the impact of papers produced by Maisa Kasanga. 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 Maisa Kasanga. The network helps show where Maisa Kasanga may publish in the future.
Co-authorship network of co-authors of Maisa Kasanga
This figure shows the co-authorship network connecting the top 25 collaborators of Maisa Kasanga. A scholar is included among the top collaborators of Maisa Kasanga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maisa Kasanga. Maisa Kasanga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 13 | |
| 14 | 6 | |
| 15 | 6 | |
| 16 | 19 | |
| 17 | 4 | |
| 18 | 22 | |
| 19 | 21 | |
| 20 | Bibliometric analysis of tuberculosis pleurisy based on web of science | 3 |
About Maisa Kasanga
Maisa Kasanga is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Health Informatics, having authored 39 papers that have together received 363 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (14 papers), Antibiotic Resistance in Bacteria (9 papers) and COVID-19 and Mental Health (7 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (147 citations), Molecular Medicine (96 citations) and Geriatrics and Gerontology (38 citations). Maisa Kasanga has collaborated with scholars based in Zambia, China and United Kingdom. Frequent co-authors include Steward Mudenda, Webrod Mufwambi, Victor Daka, Ruth Lindizyani Mfune, Scott Kaba Matafwali, Michelo Banda, Billy Chabalenge, Jian Wu, Xianrang Song and Linlin Xue. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and International Journal of Environmental Research and Public Health.
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.