Markus Vogt

3.5k citations
32 papers · 2.7k · h-index 20

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • NF-κB Signaling Pathways
    • Sesquiterpenes and Asteraceae Studies

Papers in

    • Cell death mechanisms and regulation 3
    • HIV Research and Treatment 8
    • Rabies epidemiology and control 2

Markus Vogt

30 papers receiving 2.6k citations

Peers

Markus Vogt
Comparison fields: 5 of 122
  • Virology 595
  • Cancer Research 490
  • Infectious Diseases 555
  • Immunology 550
  • Hepatology 163
Replace Étienne Jacotot with:
Étienne Jacotot France
Markus Loeffler Germany
Margarita Hadzopoulou‐Cladaras United States
Anne Roulston Canada
Yoshio Inagaki Japan
Lawrence C. Trost United States
Nicholas Murgolo United States
Bing Tian United States
Subhash Dhawan United States
David A. Ostrov United States
Markus Vogt relative to Étienne Jacotot France Étienne Jacotot's profile →
Citations per field
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Étienne Jacotot · 1×
Citations per year

Countries citing papers authored by Markus Vogt

Since Specialization
Citations

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

Fields of papers citing papers by Markus Vogt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998310
2 1996283
3 1997235
4 1987226
5 1997220
6 1987191
7 1985164
8 1998159
9 1996140
10 1998119
11 2020118
12 1985110
13 1987107
14 200567
15 198856
16 200654
17 199152
18 202229
19 198322
20 202119

About Markus Vogt

Markus Vogt is a scholar working on Molecular Biology, Virology, Infectious Diseases, Epidemiology and Cancer Research, having authored 32 papers that have together received 2.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), HIV/AIDS drug development and treatment (6 papers), Cell death mechanisms and regulation (3 papers), T-cell and Retrovirus Studies (3 papers), Cytomegalovirus and herpesvirus research (3 papers), NF-κB Signaling Pathways (3 papers), Photoreceptor and optogenetics research (3 papers) and Rabies epidemiology and control (2 papers). The work is most often cited by research in Virology (595 citations), Cancer Research (490 citations), Infectious Diseases (555 citations), Immunology (550 citations) and Hepatology (163 citations). Markus Vogt has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Klaus Schulze‐Osthoff, Sebastian Wesselborg, Martin Hirsch, M. Lienhard Schmitz, Manuel Bauer, Kevan L. Hartshorn, Wulf Dröge, Ting‐Chao Chou, Robert T. Schooley and Heike Schenk. Their work appears in journals such as Journal of Biological Chemistry, AIDS Research and Human Retroviruses, Nature Communications, Clinical Cancer Research and Infection.

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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