Markus Fehr

2k citations
14 papers · 1.7k · h-index 12

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
    • Cell death mechanisms and regulation
    • Fungal and yeast genetics research
    • Mitochondrial Function and Pathology
    • Redox biology and oxidative stress

Papers in

Markus Fehr

14 papers receiving 1.7k citations

Peers

Markus Fehr
Comparison fields: 5 of 81
  • Aging 224
  • Molecular Biology 910
  • Plant Science 298
  • Cancer Research 70
  • Microbiology 31
Replace Weng Ruh Wong with:
Weng Ruh Wong United States
Olga А. Dontsova Russia
Сергиев Петр Владимирович Russia
Christopher A. Gray Canada
Antonio Conconi Canada
Helmut Ruis Austria
Gary W. Jones Ireland
Helmut Jungwirth Austria
Iván Ivanov Bulgaria
José Cansado Spain
Markus Fehr relative to Weng Ruh Wong United States Weng Ruh Wong's profile →
Citations per field
00.5×2×3×4.1×
Weng Ruh Wong · 1×
Citations per year

Countries citing papers authored by Markus Fehr

Since Specialization
Citations

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

Fields of papers citing papers by Markus Fehr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2002777
2 2004467
3 2008181
4 201260
5 201442
6 202040
7 201639
8 201235
9 201333
10 202021
11 201018
12 202213
13 20209
14 20078

About Markus Fehr

Markus Fehr is a scholar working on Cancer Research, Toxicology, Molecular Biology, Dermatology and Small Animals, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (6 papers), Cancer therapeutics and mechanisms (5 papers), Bioactive Compounds and Antitumor Agents (2 papers), Contact Dermatitis and Allergies (2 papers), Cell death mechanisms and regulation (2 papers), Mycotoxins in Agriculture and Food (2 papers), Animal testing and alternatives (2 papers) and Piperaceae Chemical and Biological Studies (1 paper). The work is most often cited by research in Aging (224 citations), Molecular Biology (910 citations), Plant Science (298 citations), Cancer Research (70 citations) and Microbiology (31 citations). Markus Fehr has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Stephan J. Sigrist, Corinna Maldener, Kai‐Uwe Fröhlich, Eva Herker, Silke Wissing, Frank Madeo, Kirsten Lauber, Sebastian Wesselborg, Sabrina Büttner and Katharina Anna Zweig. Their work appears in journals such as Trends in Food Science & Technology, Toxicology Letters, The Journal of Cell Biology, Molecular Cell and Regulatory Toxicology and Pharmacology.

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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