Dagmar Faust

952 citations
24 papers · 817 · h-index 17

Impact in

Papers in

    • Ubiquitin and proteasome pathways 4
    • Kruppel-like factors research 3
    • TGF-β signaling in diseases 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • Cancer-related Molecular Pathways 9

Dagmar Faust

24 papers receiving 810 citations

Peers

Dagmar Faust
Comparison fields: 5 of 95
  • Cancer Research 250
  • Health, Toxicology and Mutagenesis 183
  • Oncology 190
  • Cell Biology 109
  • Molecular Biology 433
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Xinhai Yang United States
Rinku Pal United States
Brad R. Evans United States
Emelyn H. Shroff United States
Domenico Liguoro Italy
Karine Belguise France
Christine M. Sadek Sweden
Anne Bravard France
Raisa I. Krutilina United States
Chia‐Li Han Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Dagmar Faust

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Faust

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200578
2 200770
3 200564
4 200663
5 199962
6 201761
7 200252
8 201250
9 201944
10 201237
11 199536
12 200236
13 200130
14 201627
15 201027
16 201323
17 200220
18 200410
19 20148
20 20116

About Dagmar Faust

Dagmar Faust is a scholar working on Molecular Biology, Oncology, Cancer Research, Health, Toxicology and Mutagenesis and Cell Biology, having authored 24 papers that have together received 817 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (9 papers), Toxic Organic Pollutants Impact (6 papers), Ubiquitin and proteasome pathways (4 papers), Kruppel-like factors research (3 papers), TGF-β signaling in diseases (3 papers), Cancer, Lipids, and Metabolism (3 papers), Ferroptosis and cancer prognosis (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Cancer Research (250 citations), Health, Toxicology and Mutagenesis (183 citations), Oncology (190 citations), Cell Biology (109 citations) and Molecular Biology (433 citations). Dagmar Faust has collaborated with scholars based in Germany, Czechia and United States. Frequent co-authors include Cornelia Dietrich, Franz Oesch, Carsten Weiß, Raimund Wieser, Teodora Nikolova, Jan Vondráček, Sandra Schneider, Barbara Oesch‐Bartlomowicz, Ilona Schreck and Pavel Krčmář. Their work appears in journals such as Archives of Toxicology, Oncogene, Biochemical and Biophysical Research Communications, Journal of Cellular Biochemistry and Current Biology.

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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