Bernard M. Hang’ombe
- Infectious Diseases top 2%
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology top 10%
- Molecular Biology
- Molecular Medicine top 2%
- Co-authors
- Aaron S. MweeneHirofumi SawaYasuko OrbaAkihiro IshiiMichihito SasakiAyato TakadaLadslav MoongaYuka Thomas
- Topics
- Viral Infections and Vectors (32 papers)Zoonotic diseases and public health (20 papers)Antibiotic Resistance in Bacteria (16 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ZambiaJapanUnited States
In The Last Decade
Bernard M. Hang’ombe
138 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 116
- Infectious Diseases 778
- Public Health, Environmental and Occupational Health 418
- Epidemiology 308
- Molecular Biology 264
- Molecular Medicine 249
Countries citing papers authored by Bernard M. Hang’ombe
This map shows the geographic impact of Bernard M. Hang’ombe'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 Bernard M. Hang’ombe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard M. Hang’ombe more than expected).
Fields of papers citing papers by Bernard M. Hang’ombe
This network shows the impact of papers produced by Bernard M. Hang’ombe. 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 Bernard M. Hang’ombe. The network helps show where Bernard M. Hang’ombe may publish in the future.
Co-authorship network of co-authors of Bernard M. Hang’ombe
This figure shows the co-authorship network connecting the top 25 collaborators of Bernard M. Hang’ombe. A scholar is included among the top collaborators of Bernard M. Hang’ombe 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 Bernard M. Hang’ombe. Bernard M. Hang’ombe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 9 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 30 | |
| 16 | 2 | |
| 17 | 10 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 4 |
About Bernard M. Hang’ombe
Bernard M. Hang’ombe is a scholar working on Endocrinology, Molecular Medicine and Infectious Diseases, having authored 148 papers that have together received 1.9k indexed citations. Recurring topics across this work include Viral Infections and Vectors (32 papers), Zoonotic diseases and public health (20 papers) and Antibiotic Resistance in Bacteria (16 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (104 citations), Molecular Medicine (249 citations) and Infectious Diseases (778 citations). Bernard M. Hang’ombe has collaborated with scholars based in Zambia, Japan and United States. Frequent co-authors include Aaron S. Mweene, Hirofumi Sawa, Yasuko Orba, Akihiro Ishii, Michihito Sasaki, Ayato Takada, Ladslav Moonga, Yuka Thomas, Edgar Simulundu and John Bwalya Muma. 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.