Stefan Hüttelmaier

14.9k citations
112 papers · 8.3k indexed · 3 hit papers · h-index 49
    • Cancer-related molecular mechanisms research 33
    • MicroRNA in disease regulation 14
    • RNA Research and Splicing 52
    • RNA modifications and cancer 49
    • RNA and protein synthesis mechanisms 22
    • RNA regulation and disease 6
    • Cellular Mechanics and Interactions 9
  • Biophysics top 2%
    • Cell Image Analysis Techniques 6

Stefan Hüttelmaier

110 papers receiving 8.2k citations

Hit Papers

The Critical Role of RNA m6...5422005202620122019100200300400500

Peers

Stefan Hüttelmaier
Comparison fields: 5 of 131
  • Cancer Research 2.9k
  • Molecular Biology 6.6k
  • Cell Biology 1.1k
  • Immunology and Allergy 311
  • Biophysics 158
Replace David T. Shima with:
David T. Shima United Kingdom
Dirk Wenzel Germany
Marc Vooijs Netherlands
Sean Lawler United States
Michael D. Henry United States
Rainer Saffrich Germany
Javier F. Cáceres United Kingdom
Andrew J. Maniotis United States
Valeri Vasioukhin United States
Crislyn D’Souza‐Schorey United States
Stefan Hüttelmaier relative to David T. Shima United Kingdom David T. Shima's profile →
Citations per field
00.5×1.5×2.1×
David T. Shima · 1×
Citations per year

Countries citing papers authored by Stefan Hüttelmaier

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Hüttelmaier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20246
3 20242
4 20235
5 20230
6 20234
7 202215
8 202166
9 202158
10 202117
11 202029
12 201964
13 201753
14 201062
15
Scale-adaptive Wavelet-based Particle Detection in Microscopy Images.
20104
16 201028
17 2008251
18 2006152
19 200655
20 199790

About Stefan Hüttelmaier

Stefan Hüttelmaier is a scholar working on Cancer Research, Molecular Biology and Biophysics, having authored 112 papers that have together received 8.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (52 papers), RNA modifications and cancer (49 papers), Cancer-related molecular mechanisms research (33 papers), RNA and protein synthesis mechanisms (22 papers), MicroRNA in disease regulation (14 papers), Cellular Mechanics and Interactions (9 papers), Cell Image Analysis Techniques (6 papers) and RNA regulation and disease (6 papers). The work is most often cited by research in Cancer Research (2.9k citations), Molecular Biology (6.6k citations) and Cell Biology (1.1k citations). Stefan Hüttelmaier has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Marcell Lederer, Robert H. Singer, Jessica L. Bell, Marcel Köhn, Brigitte M. Jockusch, Nadine Stöhr, Nadine Bley, Jacob Haase, Tao Liu and Markus Glaß.

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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