Michael Mina

544 citations
12 papers · 244 · h-index 7

Impact in

Papers in

    • Hepatitis C virus research 7
    • SARS-CoV-2 and COVID-19 Research 4
    • SARS-CoV-2 detection and testing 2
    • COVID-19 Clinical Research Studies 2

Michael Mina

12 papers receiving 238 citations

Peers

Michael Mina
Comparison fields: 5 of 64
  • Hepatology 67
  • Modeling and Simulation 35
  • Infectious Diseases 129
  • Virology 24
  • Epidemiology 91
Replace Abdulkarim Alhetheel with:
Abdulkarim Alhetheel Saudi Arabia
Luna Colagrossi Italy
Jaiprasath Sachithanandham United States
Myriam Ben Mamou Denmark
János Szlávik Hungary
Moses P. Adoga Nigeria
Jingshan Zheng China
Justin Carrico United States
José Luis Díaz‐Ortega Mexico
Workenesh Ayele Ethiopia
Michael Mina relative to Abdulkarim Alhetheel Saudi Arabia Abdulkarim Alhetheel's profile →
Citations per field
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Abdulkarim Alhetheel · 1×
Citations per year

Countries citing papers authored by Michael Mina

Since Specialization
Citations

This map shows the geographic impact of Michael Mina'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 Michael Mina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Mina more than expected).

Fields of papers citing papers by Michael Mina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Mina. 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 Michael Mina. The network helps show where Michael Mina may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael Mina, 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 Michael Mina Line = papers co-authored together Michael Mina links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2013115
2 202046
3 201518
4 202017
5 201416
6 201412
7 201611
8
Implications of the Age Profile of the Novel Coronavirus
20203
9 20163
10 20231
11 20201
12 20111

About Michael Mina

Michael Mina is a scholar working on Hepatology, Infectious Diseases, Epidemiology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 12 papers that have together received 244 indexed citations. Recurring topics across this work include Hepatitis C virus research (7 papers), Hepatitis B Virus Studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (2 papers), COVID-19 Clinical Research Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hepatology (67 citations), Modeling and Simulation (35 citations), Infectious Diseases (129 citations), Virology (24 citations) and Epidemiology (91 citations). Michael Mina has collaborated with scholars based in Australia, United Kingdom and Singapore. Frequent co-authors include Andrew R. Lloyd, Barbara Cameron, Christina C. Chang, Megan Crane, Jingling Zhou, Anthony Jaworowski, Martyn A. French, Sharon R. Lewin, Jeffrey J. Post and Rowena A. Bull. Their work appears in journals such as Journal of Viral Hepatitis, Journal of Hepatology, The Medical Journal of Australia, Viruses and The Lancet Infectious Diseases.

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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