Christopher Monit
Impact in
- Virology top 10%
- HIV Research and Treatment
-
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
- Viral gastroenteritis research and epidemiology
Papers in
-
- Genomics and Phylogenetic Studies 3
- Machine Learning in Bioinformatics 1
- RNA and protein synthesis mechanisms 1
- Virology 3
- HIV Research and Treatment 3
- Co-authors
- Dami A. Collier (1 shared paper)Ravindra K. Gupta (1 shared paper)Richard A. Goldstein (4 shared papers)Greg J. Towers (3 shared papers)Christopher Ruis (2 shared papers)David A. Jacques (1 shared paper)Claire Kerridge (1 shared paper)Laura Hilditch (1 shared paper)
- Journals
- Virus Evolution (1 paper)Retrovirology (1 paper)eLife (1 paper)Proceedings of the National Academy of Sciences (1 paper)BMC Evolutionary Biology (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Christopher Monit
7 papers receiving 113 citations
Peers
Comparison fields: 5 of 38
- Virology 62
- Infectious Diseases 71
- Animal Science and Zoology 15
- Immunology 21
- Cardiology and Cardiovascular Medicine 12
Countries citing papers authored by Christopher Monit
This map shows the geographic impact of Christopher Monit'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 Christopher Monit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Monit more than expected).
Fields of papers citing papers by Christopher Monit
This network shows the impact of papers produced by Christopher Monit. 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 Christopher Monit. The network helps show where Christopher Monit may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Monit, 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 | 2019 | 45 | |
| 2 | 2020 | 19 | |
| 3 | 2020 | 16 | |
| 4 | 2019 | 13 | |
| 5 | 2022 | 11 | |
| 6 | 2018 | 5 | |
| 7 | 2019 | 4 |
About Christopher Monit
Christopher Monit is a scholar working on Molecular Biology, Virology, Infectious Diseases, Epidemiology and Immunology, having authored 7 papers that have together received 113 indexed citations. Recurring topics across this work include HIV Research and Treatment (3 papers), Genomics and Phylogenetic Studies (3 papers), interferon and immune responses (1 paper), Machine Learning in Bioinformatics (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Animal Virus Infections Studies (1 paper), RNA and protein synthesis mechanisms (1 paper) and HIV/AIDS Research and Interventions (1 paper). The work is most often cited by research in Virology (62 citations), Infectious Diseases (71 citations), Animal Science and Zoology (15 citations), Immunology (21 citations) and Cardiology and Cardiovascular Medicine (12 citations). Christopher Monit has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Dami A. Collier, Ravindra K. Gupta, Richard A. Goldstein, Greg J. Towers, Christopher Ruis, David A. Jacques, Claire Kerridge, Laura Hilditch, Paul D. Brewer-Jensen and Carlos Maluquer de Motes. Their work appears in journals such as Virus Evolution, Retrovirology, eLife, Proceedings of the National Academy of Sciences and BMC Evolutionary Biology.
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.