Viktor Müller

1.8k citations
44 papers · 983 · h-index 20

Impact in

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

Papers in

    • HIV Research and Treatment 26
    • HIV/AIDS Research and Interventions 18
    • HIV/AIDS drug development and treatment 12

Viktor Müller

43 papers receiving 966 citations

Peers

Viktor Müller
Comparison fields: 5 of 117
  • Virology 512
  • Infectious Diseases 457
  • Modeling and Simulation 42
  • Immunology 175
  • Genetics 157
Replace Carsten Magnus with:
Carsten Magnus Switzerland
Angela R. McLean United Kingdom
Ha Youn Lee United States
Omar Perez United States
Kshitij Wagh United States
Joshua T. Herbeck United States
Rebecca Gray United States
Luis M. Agosto United States
Sandhya Vasan United States
Elena Giorgi United States
Viktor Müller relative to Carsten Magnus Switzerland Carsten Magnus's profile →
Citations per field
00.5×1.5×1.8×
Carsten Magnus · 1×
Citations per year

Countries citing papers authored by Viktor Müller

Since Specialization
Citations

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

Fields of papers citing papers by Viktor Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201075
2 200472
3 201771
4 201162
5 202353
6 201952
7 200646
8 200346
9 200146
10 201340
11 201035
12 201234
13 201433
14 200931
15 200231
16 200923
17 201123
18 200922
19 200321
20 200119

About Viktor Müller

Viktor Müller is a scholar working on Virology, Infectious Diseases, Molecular Biology, Epidemiology and Physiology, having authored 44 papers that have together received 983 indexed citations. Recurring topics across this work include HIV Research and Treatment (26 papers), HIV/AIDS Research and Interventions (18 papers), HIV/AIDS drug development and treatment (12 papers), HIV, Drug Use, Sexual Risk (4 papers), T-cell and B-cell Immunology (4 papers), Hepatitis C virus research (3 papers), Immune Cell Function and Interaction (3 papers) and Evolution and Genetic Dynamics (3 papers). The work is most often cited by research in Virology (512 citations), Infectious Diseases (457 citations), Modeling and Simulation (42 citations), Immunology (175 citations) and Genetics (157 citations). Viktor Müller has collaborated with scholars based in Hungary, Switzerland and Belgium. Frequent co-authors include Sebastian Bonhoeffer, Rob J. de Boer, João Sousa, Anne–Mieke Vandamme, Huldrych F. Günthard, Athanasius F. M. Marée, Eörs Szathmáry, Michael T. Bretscher, Christian L. Althaus and Joshua T. Herbeck. Their work appears in journals such as Viruses, PLoS Pathogens, AIDS, PLoS Computational Biology and PLoS ONE.

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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