Stefan Brenner

929 citations
32 papers · 572 · h-index 14

Impact in

Papers in

Stefan Brenner

32 papers receiving 553 citations

Peers

Stefan Brenner
Comparison fields: 5 of 103
  • Geriatrics and Gerontology 44
  • Biochemistry 49
  • Cancer Research 94
  • Pharmacology 42
  • Information Systems 99
Replace Jin T. E. Lim with:
Jin T. E. Lim United States
Zongyuan Yang China
Chi-Ming Chen Taiwan
Mei Zhang China
Makoto Koyama Japan
Yi Tu China
Maria Di Girolamo Italy
Xuan Hong China
Yunjia Zhang China
Glenn J. Myatt United States
Stefan Brenner relative to Jin T. E. Lim United States Jin T. E. Lim's profile →
Citations per field
00.5×3.1×
Jin T. E. Lim · 1×
Citations per year

Countries citing papers authored by Stefan Brenner

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Brenner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201679
2 201569
3 201741
4 201438
5 201532
6 201631
7 202130
8 201925
9 201620
10 201418
11 201617
12 201717
13 201413
14 195313
15
FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020.
202012
16 198212
17 202311
18 202211
19
Psoriasiform eruption induced by anticonvulsants.
199411
20 201410

About Stefan Brenner

Stefan Brenner is a scholar working on Information Systems, Oncology, Artificial Intelligence, Molecular Biology and Computer Networks and Communications, having authored 32 papers that have together received 572 indexed citations. Recurring topics across this work include Security and Verification in Computing (5 papers), Distributed systems and fault tolerance (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cloud Data Security Solutions (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Angiogenesis and VEGF in Cancer (4 papers), Misinformation and Its Impacts (4 papers) and Hate Speech and Cyberbullying Detection (3 papers). The work is most often cited by research in Geriatrics and Gerontology (44 citations), Biochemistry (49 citations), Cancer Research (94 citations), Pharmacology (42 citations) and Information Systems (99 citations). Stefan Brenner has collaborated with scholars based in Austria, Germany and Norway. Frequent co-authors include Walter Jäger, Rüdiger Kapitza, Juliane Riha, Georg Krupitza, Konstantin Pogorelov, Nicole Huttary, Petra Filkuková, Johannes Langguth, Theresia Thalhammer and David Goltzsche. Their work appears in journals such as International Journal of Oncology, Human Molecular Genetics, Cancer Letters, Nutrients and British Journal of Cancer.

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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