Markus Hafner

18.5k citations
112 papers · 12.5k indexed · 4 hit papers · h-index 55
    • MicroRNA in disease regulation 30
    • Cancer-related molecular mechanisms research 24
    • RNA modifications and cancer 58
    • RNA Research and Splicing 57
    • RNA and protein synthesis mechanisms 37
    • RNA Interference and Gene Delivery 11
    • RNA regulation and disease 8
  • Aging top 5%
  • Immunology top 5%
    • interferon and immune responses 6
  • Oncology top 5%

Markus Hafner

109 papers receiving 12.4k citations

Hit Papers

A census of human RNA-binding proteins1.4k201020262015202050010001.5k2.0k

Peers

Markus Hafner
Comparison fields: 5 of 142
  • Cancer Research 5.2k
  • Molecular Biology 10.9k
  • Aging 72
  • Immunology 812
  • Oncology 781
Replace Ryan A. Flynn with:
Ryan A. Flynn United States
Davide Cacchiarelli Italy
Michele A. Cleary United States
Janell M. Schelter United States
Anders H. Lund Denmark
Javier F. Cáceres United Kingdom
James G. Patton United States
Abdullah Yalçın United States
Kazuko Nishikura United States
Christine Mayr United States
Markus Hafner relative to Ryan A. Flynn United States Ryan A. Flynn's profile →
Citations per field
00.5×1.5×
Ryan A. Flynn · 1×
Citations per year

Countries citing papers authored by Markus Hafner

Since Specialization
Citations

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

Fields of papers citing papers by Markus Hafner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20242
3 202414
4 20238
5 202220
6 202113
7 202158
8 202012
9 202033
10 201950
11 2019113
12 201934
13 201954
14 201818
15 201870
16 201828
17 201823
18 201746
19 201198
20 201065

About Markus Hafner

Markus Hafner is a scholar working on Cancer Research, Molecular Biology and Immunology, having authored 112 papers that have together received 12.5k indexed citations. Recurring topics across this work include RNA modifications and cancer (58 papers), RNA Research and Splicing (57 papers), RNA and protein synthesis mechanisms (37 papers), MicroRNA in disease regulation (30 papers), Cancer-related molecular mechanisms research (24 papers), RNA Interference and Gene Delivery (11 papers), RNA regulation and disease (8 papers) and interferon and immune responses (6 papers). The work is most often cited by research in Cancer Research (5.2k citations), Molecular Biology (10.9k citations) and Aging (72 citations). Markus Hafner has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Thomas Tuschl, Stefanie Gerstberger, Manuel Ascano, Mihaela Zavolan, Markus Landthaler, Scott Dewell, Mathias Munschauer, Jeffrey D. Nusbaum, Andrea Rothballer and Philipp Berninger. Their work appears in journals such as Nature Communications, Genes & Development, RNA, Molecular Cell and Methods.

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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