Collen Masimirembwa
- Pharmacology top 0.05%
- Pharmacogenetics and Drug Metabolism 71
- Drug-Induced Hepatotoxicity and Protection 12
- Virology top 2%
- HIV Research and Treatment 11
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- Computational Drug Discovery Methods 23
- Infectious Diseases top 2%
- HIV/AIDS drug development and treatment 19
- HIV/AIDS Research and Interventions 9
- Oncology top 5%
- Drug Transport and Resistance Mechanisms 28
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- Analytical Chemistry and Chromatography 10
- Co-authors
- Julia A. HaslerTommy B. AnderssonXueqing LiMarianne RidderströmMagnus Ingelman‐SundbergCollet DandaraUlf BredbergLeif Bertilsson
- Journals
- European Journal of Clinical Pharmacology (9 papers)Drug Metabolism and Disposition (7 papers)Clinical Pharmacology & Therapeutics (5 papers)
- Partner nations
- SwedenZimbabweSouth Africa
In The Last Decade
Collen Masimirembwa
110 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 128
- Pharmacology 1.9k
- Virology 259
- Computational Theory and Mathematics 545
- Infectious Diseases 627
- Oncology 863
Countries citing papers authored by Collen Masimirembwa
This map shows the geographic impact of Collen Masimirembwa'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 Collen Masimirembwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Collen Masimirembwa more than expected).
Fields of papers citing papers by Collen Masimirembwa
This network shows the impact of papers produced by Collen Masimirembwa. 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 Collen Masimirembwa. The network helps show where Collen Masimirembwa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Collen Masimirembwa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 2 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 13 | |
| 12 | 2019 | 19 | |
| 13 | 2017 | 29 | |
| 14 | 2016 | 6 | |
| 15 | 2015 | 20 | |
| 16 | 2013 | 3 | |
| 17 | 2011 | 6 | |
| 18 | 2005 | 32 | |
| 19 | 1996 | 18 | |
| 20 | 1994 | 35 |
About Collen Masimirembwa
Collen Masimirembwa is a scholar working on Pharmacology, Virology and Computational Theory and Mathematics, having authored 115 papers that have together received 3.5k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (71 papers), Drug Transport and Resistance Mechanisms (28 papers), Computational Drug Discovery Methods (23 papers), HIV/AIDS drug development and treatment (19 papers), Drug-Induced Hepatotoxicity and Protection (12 papers), HIV Research and Treatment (11 papers), Analytical Chemistry and Chromatography (10 papers) and HIV/AIDS Research and Interventions (9 papers). The work is most often cited by research in Pharmacology (1.9k citations), Virology (259 citations) and Computational Theory and Mathematics (545 citations). Collen Masimirembwa has collaborated with scholars based in Sweden, Zimbabwe and South Africa. Frequent co-authors include Julia A. Hasler, Tommy B. Andersson, Xueqing Li, Marianne Ridderström, Magnus Ingelman‐Sundberg, Collet Dandara, Ulf Bredberg, Leif Bertilsson, Inger Johansson and Anders Björkman. Their work appears in journals such as European Journal of Clinical Pharmacology, Drug Metabolism and Disposition, Clinical Pharmacology & Therapeutics, OMICS A Journal of Integrative Biology 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.