Mia Coetzer

1.1k citations
26 papers · 842 · h-index 17

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV Research and Treatment 20
    • HIV/AIDS drug development and treatment 17
    • HIV/AIDS Research and Interventions 9

Mia Coetzer

26 papers receiving 835 citations

Peers

Mia Coetzer
Comparison fields: 5 of 63
  • Virology 590
  • Infectious Diseases 409
  • Immunology 175
  • Hepatology 30
  • Genetics 93
Replace Concha Casado with:
Concha Casado Spain
Awet Abraha United States
Björn D. Kuhl Canada
Valerie F. Boltz United States
Melissa-Rose Abrahams South Africa
Omar Perez United States
Marlén M. I. Aasa-Chapman United Kingdom
T H Lee United States
Stéphanie Wyss United States
Xinyao Yu United States
Mia Coetzer relative to Concha Casado Spain Concha Casado's profile →
Citations per field
00.5×1.7×
Concha Casado · 1×
Citations per year

Countries citing papers authored by Mia Coetzer

Since Specialization
Citations

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

Fields of papers citing papers by Mia Coetzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003142
2 2006112
3 2010100
4 200652
5 202045
6 201133
7 200932
8 200831
9 201630
10 201030
11 200229
12 200529
13 200726
14 201826
15 201821
16 201517
17 201216
18 201013
19 201513
20 201710

About Mia Coetzer

Mia Coetzer is a scholar working on Virology, Infectious Diseases, Molecular Biology, Immunology and Genetics, having authored 26 papers that have together received 842 indexed citations. Recurring topics across this work include HIV Research and Treatment (20 papers), HIV/AIDS drug development and treatment (17 papers), HIV/AIDS Research and Interventions (9 papers), vaccines and immunoinformatics approaches (4 papers), Immune Cell Function and Interaction (3 papers), Evolution and Genetic Dynamics (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Virology (590 citations), Infectious Diseases (409 citations), Immunology (175 citations), Hepatology (30 citations) and Genetics (93 citations). Mia Coetzer has collaborated with scholars based in United States, Kenya and Switzerland. Frequent co-authors include Lynn Morris, Tonie Cilliers, Rebecca Nedellec, Donald E. Mosier, James I. Mullins, Mark A. Jensen, Angélique B. van ’t Wout, Rami Kantor, Jack da Silva and Cristina Pastore. Their work appears in journals such as Journal of Virology, AIDS Research and Human Retroviruses, Journal of the International AIDS Society, Virology and JAIDS Journal of Acquired Immune Deficiency Syndromes.

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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