Mario Amacker

2.8k citations
48 papers · 2.4k · 1 hit paper · h-index 21

Impact in

Papers in

    • HIV Research and Treatment 11
    • Immunotherapy and Immune Responses 12
    • Immune Cell Function and Interaction 7

Mario Amacker

48 papers receiving 2.3k citations

Mario Amacker's Hit Papers

Direct activation of TERT transcription by c-MYC 1999 · 768 citations
7680+9+18Years since publication250500750

Peers

Mario Amacker
Comparison fields: 5 of 97
  • Virology 379
  • Aging 56
  • Immunology 568
  • Infectious Diseases 496
  • Physiology 592
Replace Qibin Leng with:
Qibin Leng China
David Alexander Pye United Kingdom
Sara Matson United States
Naoya Ohara Japan
Padma Malyala United States
Donna M. Fluitsma Netherlands
Lubin Jiang China
Fabienne Anjuère France
Michael J. de Veer Australia
Florian Winau Germany
Mario Amacker relative to Qibin Leng China Qibin Leng's profile →
Citations per field
00.5×2×3×4×4.8×
Qibin Leng · 1×
Citations per year

Countries citing papers authored by Mario Amacker

Since Specialization
Citations

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

Fields of papers citing papers by Mario Amacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Direct activation of TERT transcription by c-MYC
Hit paper breakdown →
1999768
2 2011257
3 2011146
4 2012116
5 201591
6 199789
7
Regulation of human telomerase activity: repression by normal chromosome 3 abolishes nuclear telomerase reverse transcriptase transcripts but does not affect c-Myc activity.
200174
8 200769
9 200069
10 200666
11 201366
12 200550
13 200748
14 201636
15 200732
16 199831
17 199530
18 202026
19 200924
20 200523

About Mario Amacker

Mario Amacker is a scholar working on Virology, Immunology, Infectious Diseases, Epidemiology and Molecular Biology, having authored 48 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), HIV Research and Treatment (11 papers), Influenza Virus Research Studies (10 papers), Immune Cell Function and Interaction (7 papers), HIV/AIDS drug development and treatment (6 papers), Herpesvirus Infections and Treatments (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Virology (379 citations), Aging (56 citations), Immunology (568 citations), Infectious Diseases (496 citations) and Physiology (592 citations). Mario Amacker has collaborated with scholars based in Switzerland, France and Italy. Frequent co-authors include Rinaldo Zurbriggen, Joachim Lingner, Kou‐Juey Wu, Riccardo Dalla‐Favera, Carla Grandori, Axel Polack, Christian Moser, Ulrich Hübscher, Andreas R. Kammer and Nicole Westerfeld. Their work appears in journals such as Vaccine, Journal of Molecular Biology, Journal of Liposome Research, PLoS ONE and Frontiers in Immunology.

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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