Stefan Wüller

732 citations
27 papers · 554 · h-index 12

Impact in

Papers in

    • Cryptography and Data Security 7
    • Privacy-Preserving Technologies in Data 6
    • Internet Traffic Analysis and Secure E-voting 3
    • Cytokine Signaling Pathways and Interactions 6

Stefan Wüller

25 papers receiving 541 citations

Peers

Stefan Wüller
Comparison fields: 5 of 98
  • Gastroenterology 58
  • Endocrinology, Diabetes and Metabolism 120
  • Genetics 38
  • Oncology 86
  • Molecular Biology 220
Replace Stéphanie Bonnaud with:
Stéphanie Bonnaud France
Jingwen Wang China
M.J. Bastié France
Megha Subramanian United States
Cuiping Li China
Fabrice Jaffré United States
Olatz Villate Spain
Tamara F. Lundeen United States
Masaki Ogata Japan
Rania Gaspo Canada
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Citations per field
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Citations per year

Countries citing papers authored by Stefan Wüller

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Wüller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004120
2 201081
3 201064
4 199943
5 199537
6 200936
7 199736
8 200128
9 200917
10 200915
11 200915
12 201311
13 200911
14 20128
15 20026
16 20155
17 20084
18 20144
19 20173
20 20173

About Stefan Wüller

Stefan Wüller is a scholar working on Artificial Intelligence, Oncology, Molecular Biology, Surgery and Sociology and Political Science, having authored 27 papers that have together received 554 indexed citations. Recurring topics across this work include Cryptography and Data Security (7 papers), Privacy-Preserving Technologies in Data (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Receptor Mechanisms and Signaling (2 papers), Immune Cell Function and Interaction (2 papers) and Complexity and Algorithms in Graphs (2 papers). The work is most often cited by research in Gastroenterology (58 citations), Endocrinology, Diabetes and Metabolism (120 citations), Genetics (38 citations), Oncology (86 citations) and Molecular Biology (220 citations). Stefan Wüller has collaborated with scholars based in Germany, United States and Luxembourg. Frequent co-authors include Iris Behrmann, Walter Rosenthal, Anja Löffler, Michael Schaefer, Gerd Krause, S Matern, Ricardo Hermosilla, A. Oksche, Ralf Schülein and G. Rau. Their work appears in journals such as Biochemical and Biophysical Research Communications, The Journal of Clinical Endocrinology & Metabolism, Pediatric Rheumatology, Hormone Research in Paediatrics and Oncogene.

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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