Cornelia Dietrich

1.8k citations
38 papers · 1.5k · h-index 23

Impact in

Papers in

    • Ubiquitin and proteasome pathways 6
    • Protein Kinase Regulation and GTPase Signaling 4
    • Cancer-related Molecular Pathways 13

Cornelia Dietrich

37 papers receiving 1.5k citations

Peers

Cornelia Dietrich
Comparison fields: 5 of 103
  • Cancer Research 400
  • Health, Toxicology and Mutagenesis 351
  • Biological Psychiatry 29
  • Oncology 311
  • Molecular Biology 747
Replace Sonia Mulero‐Navarro with:
Sonia Mulero‐Navarro Spain
M. Celeste Simon United States
John J. LaPres United States
Céline Tomkiewicz France
Eli V. Hestermann United States
Jennifer Marlowe United States
Togo Ikuta Japan
Xavier Tekpli Norway
Mark Wormke United States
Dagmar Faust Germany
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Citations per field
00.5×1.6×
Sonia Mulero‐Navarro · 1×
Citations per year

Countries citing papers authored by Cornelia Dietrich

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Dietrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010197
2 2005143
3 2016124
4 200578
5 200770
6 199667
7 200564
8 201764
9 200663
10 199962
11 199759
12 201855
13 200253
14 201250
15 201944
16 201237
17 200236
18 200130
19 201628
20 201027

About Cornelia Dietrich

Cornelia Dietrich is a scholar working on Molecular Biology, Oncology, Cancer Research, Health, Toxicology and Mutagenesis and Cell Biology, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (13 papers), Toxic Organic Pollutants Impact (9 papers), Ubiquitin and proteasome pathways (6 papers), Carcinogens and Genotoxicity Assessment (6 papers), Ferroptosis and cancer prognosis (4 papers), Cancer, Lipids, and Metabolism (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Cancer Research (400 citations), Health, Toxicology and Mutagenesis (351 citations), Biological Psychiatry (29 citations), Oncology (311 citations) and Molecular Biology (747 citations). Cornelia Dietrich has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Franz Oesch, Dagmar Faust, Bernd Kaina, Raimund Wieser, Carsten Weiß, Barbara Oesch‐Bartlomowicz, H. Kilbinger, Teodora Nikolova, Jan Vondráček and Ernesto Bockamp. Their work appears in journals such as Archives of Toxicology, Oncogene, Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences and Toxicology and Applied 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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