Jan Grawé

30 papers receiving 730 citations

Peers

Jan Grawé
Comparison fields: 5 of 89
  • Cancer Research 357
  • Chemical Health and Safety 8
  • Food Science 201
  • Health, Toxicology and Mutagenesis 134
  • Plant Science 175
Replace Beate M. Miller with:
Beate M. Miller Switzerland
G.J. Köteles Hungary
K.T. Cain United States
Petra Schütz Germany
Raluca Mateuca Belgium
Gh. Deknudt Belgium
Donald L. Putman United States
Andrew R. Kraynak United States
Matty Meijers Netherlands
Lidiya Luzhna Canada
Jan Grawé relative to Beate M. Miller Switzerland Beate M. Miller's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jan Grawé

Since Specialization
Citations

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

Fields of papers citing papers by Jan Grawé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200393
2 200273
3 199649
4 199547
5 201243
6 200538
7 201232
8 199332
9 200030
10 199329
11 201129
12 200527
13 199626
14 199722
15 199321
16 200519
17 199719
18 201419
19 199316
20
Induction of apoptosis or necrosis in human endometrial carcinoma cells by 2-methoxyestradiol.
200515

About Jan Grawé

Jan Grawé is a scholar working on Cancer Research, Molecular Biology, Health, Toxicology and Mutagenesis, Radiology, Nuclear Medicine and Imaging and Plant Science, having authored 31 papers that have together received 773 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (20 papers), DNA Repair Mechanisms (11 papers), Effects and risks of endocrine disrupting chemicals (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Effects of Radiation Exposure (4 papers), Potato Plant Research (3 papers), Environmental Toxicology and Ecotoxicology (2 papers) and Toxic Organic Pollutants Impact (2 papers). The work is most often cited by research in Cancer Research (357 citations), Chemical Health and Safety (8 citations), Food Science (201 citations), Health, Toxicology and Mutagenesis (134 citations) and Plant Science (175 citations). Jan Grawé has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include G. Zetterberg, Lilianne Abramsson-Zetterberg, Margareta Törnqvist, Birgit Paulsson, Natalia Kotova, Alistair P. Henderson, Bernard T. Golding, Michael Nüsse, Fredrik Granath and Maria Ferletta. Their work appears in journals such as Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Mutation research. Fundamental and molecular mechanisms of mutagenesis, Mutagenesis, International Journal of Radiation Biology and Cancer Biotherapy and Radiopharmaceuticals.

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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