M. Azim Ansari
- Hepatology top 2%
- Hepatitis C virus research 30
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment 8
- SARS-CoV-2 and COVID-19 Research 3
- Epidemiology top 5%
- Hepatitis B Virus Studies 24
- Liver Disease Diagnosis and Treatment 17
- Endocrinology top 10%
- Clinical Biochemistry top 10%
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- Genomics and Phylogenetic Studies 4
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- HIV Research and Treatment 4
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- Computational Drug Discovery Methods 4
- Co-authors
- Xavier DidelotSanjay J. SuranaHarun PatelRahul PawaraEleanor BarnesRory BowdenPhilippa C. MatthewsCamilla L. C. Ip
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)SHILAP Revista de lepidopterología (4 papers)
- Partner nations
- United KingdomIndiaAustralia
In The Last Decade
M. Azim Ansari
56 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Hepatology 360
- Infectious Diseases 484
- Epidemiology 509
- Endocrinology 60
- Clinical Biochemistry 68
Countries citing papers authored by M. Azim Ansari
This map shows the geographic impact of M. Azim Ansari'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 M. Azim Ansari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Azim Ansari more than expected).
Fields of papers citing papers by M. Azim Ansari
This network shows the impact of papers produced by M. Azim Ansari. 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 M. Azim Ansari. The network helps show where M. Azim Ansari may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Azim Ansari, 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 | 2025 | 0 | |
| 2 | 2024 | 20 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 19 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 17 | |
| 13 | 2021 | 28 | |
| 14 | 2020 | 12 | |
| 15 | 2020 | 33 | |
| 16 | 2019 | 17 | |
| 17 | 2019 | 19 | |
| 18 | HIV genotyping and phylogenetics in the HPTN 071 (PopART) study: validation of a high-throughput sequencing assay for viral load quantification, genotyping, resistance testing and high-resolution transmission networking | 2019 | 0 |
| 19 | 2016 | 22 | |
| 20 | 2012 | 157 |
About M. Azim Ansari
M. Azim Ansari is a scholar working on Hepatology, Infectious Diseases and Epidemiology, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hepatitis C virus research (30 papers), Hepatitis B Virus Studies (24 papers), Liver Disease Diagnosis and Treatment (17 papers), HIV/AIDS drug development and treatment (8 papers), Genomics and Phylogenetic Studies (4 papers), HIV Research and Treatment (4 papers), Computational Drug Discovery Methods (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Hepatology (360 citations), Infectious Diseases (484 citations) and Epidemiology (509 citations). M. Azim Ansari has collaborated with scholars based in United Kingdom, India and Australia. Frequent co-authors include Xavier Didelot, Sanjay J. Surana, Harun Patel, Rahul Pawara, Eleanor Barnes, Rory Bowden, Philippa C. Matthews, Camilla L. C. Ip, Paul Klenerman and Anna McNaughton. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.