Andrew Nyerere
- Molecular Biology
- Pharmacology top 10%
- Infectious Diseases
- Molecular Medicine top 5%
- Microbiology top 5%
- Co-authors
- Christine BiiDesta Berhe SbhatuGebreselema GebreyohannesGunturu RevathiDaniel MainaSteven RunoGabriel MagomaZachée Ambang
- Topics
- Antibiotic Use and Resistance (6 papers)Antibiotic Resistance in Bacteria (6 papers)Bacterial biofilms and quorum sensing (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEBMC Microbiology
In The Last Decade
Andrew Nyerere
28 papers receiving 505 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 208
- Pharmacology 92
- Infectious Diseases 86
- Molecular Medicine 73
- Microbiology 70
Countries citing papers authored by Andrew Nyerere
This map shows the geographic impact of Andrew Nyerere'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 Andrew Nyerere with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Nyerere more than expected).
Fields of papers citing papers by Andrew Nyerere
This network shows the impact of papers produced by Andrew Nyerere. 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 Andrew Nyerere. The network helps show where Andrew Nyerere may publish in the future.
Co-authorship network of co-authors of Andrew Nyerere
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Nyerere. A scholar is included among the top collaborators of Andrew Nyerere 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 Andrew Nyerere. Andrew Nyerere 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 9 | |
| 10 | 10 | |
| 11 | Challenges of intervention, treatment, and antibiotic resistance of biofilm-forming microorganismsbreakdown → | 296 |
| 12 | 59 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | Predominance of CCR5 tropism in non-b HIV-1 subtypes circulating in Kisii County, Kenya. | 1 |
| 16 | Molecular Characterization of Beta-lactams Resistance in Pseudomonas aeruginosa Isolated from Clinical Sources at the Nairobi Hospital | 1 |
| 17 | 1 | |
| 18 | 8 | |
| 19 | 5 | |
| 20 | 0 |
About Andrew Nyerere
Andrew Nyerere is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Infectious Diseases, having authored 33 papers that have together received 522 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (6 papers), Antibiotic Resistance in Bacteria (6 papers) and Bacterial biofilms and quorum sensing (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (30 citations), Molecular Medicine (73 citations) and Microbiology (70 citations). Andrew Nyerere has collaborated with scholars based in Kenya, Ethiopia and Japan. Frequent co-authors include Christine Bii, Desta Berhe Sbhatu, Gebreselema Gebreyohannes, Gunturu Revathi, Daniel Maina, Steven Runo, Gunturu Revathi, Gabriel Magoma, Zachée Ambang and Geoffrey Omuse. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC 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.