Mina John
Impact in
- Virology top 0.2%
- HIV Research and Treatment
- Emergency Medicine top 0.2%
- HIV-related health complications and treatments
Papers in
- Virology 37
- HIV Research and Treatment 37
- Immunology 27
- T-cell and B-cell Immunology 16
- Immune Cell Function and Interaction 15
- Co-authors
- S. Mallal (49 shared papers)Ian James (23 shared papers)Corey Moore (5 shared papers)E. McKinnon (15 shared papers)Martyn A. French (6 shared papers)David Nolan (16 shared papers)James Flexman (3 shared papers)Campbell S. Witt (1 shared paper)
- Journals
- Journal of Virology (7 papers)AIDS (7 papers)Pathology (6 papers)Antiviral Therapy (4 papers)The Journal of Immunology (4 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Mina John
78 papers receiving 3.8k citations
Mina John's Hit Papers
Peers
Comparison fields: 5 of 94
- Virology 1.7k
- Emergency Medicine 984
- Infectious Diseases 1.3k
- Immunology 1000
- Hepatology 333
Countries citing papers authored by Mina John
This map shows the geographic impact of Mina John'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 Mina John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mina John more than expected).
Fields of papers citing papers by Mina John
This network shows the impact of papers produced by Mina John. 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 Mina John. The network helps show where Mina John may publish in the future.
Co-authors
The 25 scholars most cited alongside Mina John, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Evidence of HIV-1 Adaptation to HLA-Restricted Immune Responses at a Population Level Hit paper breakdown → | 2002 | 609 |
| 2 | 2000 | 427 | |
| 3 | 2000 | 323 | |
| 4 | 1998 | 221 | |
| 5 | 2001 | 203 | |
| 6 | 2004 | 196 | |
| 7 | 2001 | 137 | |
| 8 | 2006 | 130 | |
| 9 | 2007 | 110 | |
| 10 | 2005 | 106 | |
| 11 | 2003 | 96 | |
| 12 | 2001 | 89 | |
| 13 | 2009 | 66 | |
| 14 | 2010 | 57 | |
| 15 | 2001 | 56 | |
| 16 | 2003 | 55 | |
| 17 | 1998 | 54 | |
| 18 | 2002 | 54 | |
| 19 | 1998 | 53 | |
| 20 | 2010 | 51 |
About Mina John
Mina John is a scholar working on Virology, Immunology, Infectious Diseases, Emergency Medicine and Molecular Biology, having authored 79 papers that have together received 3.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (37 papers), T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (15 papers), HIV-related health complications and treatments (13 papers), HIV/AIDS drug development and treatment (12 papers), HIV/AIDS Research and Interventions (11 papers), vaccines and immunoinformatics approaches (10 papers) and Hepatitis C virus research (6 papers). The work is most often cited by research in Virology (1.7k citations), Emergency Medicine (984 citations), Infectious Diseases (1.3k citations), Immunology (1000 citations) and Hepatology (333 citations). Mina John has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include S. Mallal, Ian James, Corey Moore, E. McKinnon, Martyn A. French, David Nolan, James Flexman, Campbell S. Witt, Frank Christiansen and Silvana Gaudieri. Their work appears in journals such as Journal of Virology, AIDS, Pathology, Antiviral Therapy and The Journal of Immunology.
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.