Mathilda Claassen

1.5k citations
26 papers · 340 · h-index 11

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • HIV/AIDS drug development and treatment 16
    • HIV/AIDS Research and Interventions 10
    • SARS-CoV-2 and COVID-19 Research 4
    • COVID-19 Clinical Research Studies 3
    • HIV Research and Treatment 12

Mathilda Claassen

25 papers receiving 337 citations

Peers

Mathilda Claassen
Comparison fields: 5 of 46
  • Virology 211
  • Infectious Diseases 302
  • Obstetrics and Gynecology 15
  • Epidemiology 62
  • Modeling and Simulation 7
Replace Erin A. Goecker with:
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Citations per field
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Citations per year

Countries citing papers authored by Mathilda Claassen

Since Specialization
Citations

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

Fields of papers citing papers by Mathilda Claassen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mathilda Claassen, 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 Mathilda Claassen Line = papers co-authored together Mathilda Claassen 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 201354
2 200940
3 201134
4 202032
5 200630
6 202121
7 200819
8 202113
9 201513
10 200213
11 201912
12 201010
13 20229
14 20207
15 20235
16 20175
17 20085
18 20233
19 20233
20 20213

About Mathilda Claassen

Mathilda Claassen is a scholar working on Infectious Diseases, Virology, Epidemiology, Molecular Biology and Surgery, having authored 26 papers that have together received 340 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (16 papers), HIV Research and Treatment (12 papers), HIV/AIDS Research and Interventions (10 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), COVID-19 Clinical Research Studies (3 papers), Respiratory viral infections research (3 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Virology (211 citations), Infectious Diseases (302 citations), Obstetrics and Gynecology (15 citations), Epidemiology (62 citations) and Modeling and Simulation (7 citations). Mathilda Claassen has collaborated with scholars based in South Africa, United States and Netherlands. Frequent co-authors include Gert U. van Zyl, Wolfgang Preiser, Lize van der Merwe, Susan Engelbrecht, Mark F. Cotton, Helena Rabie, M. Zeier, Stephen N.J. Korsman, Tommy F. Liu and Túlio de Oliveira. Their work appears in journals such as The Pediatric Infectious Disease Journal, Journal of Medical Virology, Journal of Clinical Virology, JAIDS Journal of Acquired Immune Deficiency Syndromes and Clinical 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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