Mina John

7k citations
100 papers · 5.9k · 1 hit paper · h-index 36

Impact in

Papers in

Mina John

99 papers receiving 5.7k citations

Mina John's Hit Papers

Evidence of HIV-1 Adaptation to HLA-Restricted Immune Responses at a Population Level 2002 · 638 citations
6380+8+16Years since publication200400600

Peers

Mina John
Comparison fields: 5 of 105
  • Virology 2.5k
  • Emergency Medicine 948
  • Infectious Diseases 953
  • Hepatology 386
  • Immunology 361
Replace Corey Moore with:
Corey Moore Australia
Matthieu Perreau Switzerland
Philippe Bürgisser Switzerland
David M. Asmuth United States
Ethan R. Bornstein United States
Rika Draenert Germany
Don E. Smith Australia
Faroudy Boufassa France
Hiroyu Hatano United States
Jason D. Barbour United States
Mina John relative to Corey Moore Australia Corey Moore's profile →
Citations per field
00.5×2×3×3.7×
Corey Moore · 1×
Citations per year

Countries citing papers authored by Mina John

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mina John Line = papers co-authored together Mina John links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 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 →
2002638
2 2000429
3 2009381
4 2000347
5 2013325
6 1998229
7 2004213
8 2001212
9 2013167
10 2008156
11 2009143
12 2001142
13 2006136
14 2005118
15 2007114
16 2007113
17 201298
18 200397
19 200188
20 201681

About Mina John

Mina John is a scholar working on Virology, Emergency Medicine, Infectious Diseases, Hepatology and Immunology, having authored 100 papers that have together received 5.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (50 papers), HIV-related health complications and treatments (13 papers), HIV/AIDS drug development and treatment (9 papers), HIV/AIDS Research and Interventions (9 papers), Hepatitis C virus research (7 papers), vaccines and immunoinformatics approaches (4 papers), Infectious Diseases and Tuberculosis (3 papers) and Clinical Laboratory Practices and Quality Control (2 papers). The work is most often cited by research in Virology (2.5k citations), Emergency Medicine (948 citations), Infectious Diseases (953 citations), Hepatology (386 citations) and Immunology (361 citations). Mina John has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Simon Alexander Mallal, IAN R. JAMES, Corey Moore, E. McKinnon, Martyn A. French, James Flexman, David A Nolan, Campbell S. Witt, Frank Christiansen and Patricia Price. Their work appears in journals such as Journal of Virology, AIDS, Pathology, The Journal of Immunology and Antiviral Therapy.

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.

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