Happiness Kumburu
- Infectious Diseases top 5%
- Molecular Medicine top 2%
- Epidemiology
- Applied Microbiology and Biotechnology top 1%
- Endocrinology top 5%
- Co-authors
- Gibson KibikiTolbert SondaFrank M. AarestrupBlandina T. MmbagaMichael AlifrangisOle LundMarco van ZwetselaarEric R. Houpt
- Topics
- Antibiotic Resistance in Bacteria (12 papers)Antimicrobial Resistance in Staphylococcus (9 papers)Bacterial Identification and Susceptibility Testing (9 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- TanzaniaDenmarkUnited States
In The Last Decade
Happiness Kumburu
38 papers receiving 721 citations
Peers
Comparison fields: 5 of 93
- Infectious Diseases 319
- Molecular Medicine 264
- Epidemiology 212
- Applied Microbiology and Biotechnology 152
- Endocrinology 148
Countries citing papers authored by Happiness Kumburu
This map shows the geographic impact of Happiness Kumburu'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 Happiness Kumburu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Happiness Kumburu more than expected).
Fields of papers citing papers by Happiness Kumburu
This network shows the impact of papers produced by Happiness Kumburu. 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 Happiness Kumburu. The network helps show where Happiness Kumburu may publish in the future.
Co-authorship network of co-authors of Happiness Kumburu
This figure shows the co-authorship network connecting the top 25 collaborators of Happiness Kumburu. A scholar is included among the top collaborators of Happiness Kumburu 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 Happiness Kumburu. Happiness Kumburu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 11 | |
| 10 | 7 | |
| 11 | 9 | |
| 12 | 21 | |
| 13 | 15 | |
| 14 | 77 | |
| 15 | 12 | |
| 16 | 23 | |
| 17 | 40 | |
| 18 | 57 | |
| 19 | 41 | |
| 20 | 53 |
About Happiness Kumburu
Happiness Kumburu is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Endocrinology, having authored 42 papers that have together received 733 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), Antimicrobial Resistance in Staphylococcus (9 papers) and Bacterial Identification and Susceptibility Testing (9 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (152 citations), Molecular Medicine (264 citations) and Endocrinology (148 citations). Happiness Kumburu has collaborated with scholars based in Tanzania, Denmark and United States. Frequent co-authors include Gibson Kibiki, Tolbert Sonda, Frank M. Aarestrup, Blandina T. Mmbaga, Michael Alifrangis, Ole Lund, Marco van Zwetselaar, Eric R. Houpt, Jean Gratz and Athanasia Maro. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.