Marcus Graf

1.7k citations
21 papers · 1.2k · h-index 13

Impact in

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

Papers in

    • RNA and protein synthesis mechanisms 10
    • RNA Interference and Gene Delivery 4
    • RNA Research and Splicing 4
    • CRISPR and Genetic Engineering 3
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • HIV Research and Treatment 8

Marcus Graf

21 papers receiving 1.2k citations

Peers

Marcus Graf
Comparison fields: 5 of 74
  • Virology 505
  • Infectious Diseases 285
  • Immunology 246
  • Molecular Biology 590
  • Genetics 211
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Marcus Graf

Since Specialization
Citations

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

Fields of papers citing papers by Marcus Graf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000244
2 2001157
3 2010146
4 2000125
5 2011123
6 201078
7 200678
8 199876
9 200067
10 200423
11 200423
12
Codon usage-mediated inhibition of HIV-1 gag expression in mammalian cells occurs independently of translation.
200316
13
HIV-1 gag expression is quantitatively dependent on the ratio of native and optimized codons.
200314
14 200612
15 200411
16 201110
17 20186
18 20066
19 20104
20 19883

About Marcus Graf

Marcus Graf is a scholar working on Molecular Biology, Virology, Immunology, Genetics and Infectious Diseases, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), HIV Research and Treatment (8 papers), Immunotherapy and Immune Responses (4 papers), RNA Interference and Gene Delivery (4 papers), RNA Research and Splicing (4 papers), CRISPR and Genetic Engineering (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Virology (505 citations), Infectious Diseases (285 citations), Immunology (246 citations), Molecular Biology (590 citations) and Genetics (211 citations). Marcus Graf has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include Ralf Wagner, Hans Wolf, Ludwig Deml, Josef Köstler, Kurt Bieler, Frank Notka, Thomas Schödl, Yiming Shao, Hagen von Briesen and Hui Xing. Their work appears in journals such as Journal of Virology, PLoS ONE, Vaccine, BMC Systems Biology and Frontiers in Bioengineering and Biotechnology.

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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