Stefan Hüttelmaier

14.9k citations
112 papers · 8.3k indexed · 3 hit papers · h-index 49
Topics
RNA Research and Splicing (52 papers)RNA modifications and cancer (49 papers)Cancer-related molecular mechanisms research (33 papers)

In The Last Decade

Stefan Hüttelmaier

110 papers receiving 8.2k citations

Hit Papers

Insulin-like growth factor 2 mRNA-binding proteins (IGF2B...2005202620122019201220192005100200300400500

Peers

Stefan Hüttelmaier
Comparison fields: 5 of 131
  • Molecular Biology 6.6k
  • Cancer Research 2.9k
  • Cell Biology 1.1k
  • Oncology 695
  • Cardiology and Cardiovascular Medicine 452
Replace David T. Shima with:
David T. Shima United Kingdom
Dirk Wenzel Germany
Marc Vooijs Netherlands
Sean Lawler United States
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Javier F. Cáceres United Kingdom
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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 of co-authors of Stefan Hüttelmaier

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Hüttelmaier. A scholar is included among the top collaborators of Stefan Hüttelmaier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefan Hüttelmaier. Stefan Hüttelmaier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 6
3 2
4 5
5 0
6 4
7 15
8 66
9 58
10 17
11 29
12 64
13 53
14 62
15
Scale-adaptive Wavelet-based Particle Detection in Microscopy Images.
4
16 28
17 251
18 152
19 55
20 90

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) and Cancer-related molecular mechanisms research (33 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. Their work appears in journals such as Nature, Cell and Nucleic Acids Research.

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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