Eva Frei

6.7k citations
231 papers · 5.8k indexed · h-index 43

Eva Frei

226 papers receiving 5.6k citations

Peers

Eva Frei
Comparison fields: 5 of 139
  • Pharmacology 2.1k
  • Analytical Chemistry 909
  • Cancer Research 879
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Oncology 1.3k
Replace Manfred Wießler with:
Manfred Wießler Germany
Marie Stiborová Czechia
Robert J. Turesky United States
Shinya Shibutani United States
James Winfred Bridges United Kingdom
Eleanor G. Rogan United States
James T. Dalton United States
Katsumi Imaida Japan
Donglu Zhang United States
Masao Hirose Japan
Eva Frei relative to Manfred Wießler Germany Manfred Wießler's profile →
Citations per field
00.5×1.5×2.4×
Manfred Wießler · 1×
Citations per year

Countries citing papers authored by Eva Frei

Since Specialization
Citations

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

Fields of papers citing papers by Eva Frei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201710
2 201422
3 201350
4 201258
5 201225
6 201029
7 20083
8 2007100
9 20067
10 2005109
11 200330
12 200271
13 200234
14 200250
15
Targeting of Ellipticine Drugs on Tumor Cells
20011
16
Aristolochic Acids and a Renal Disease - Chinese Herbs Nephropathy
20002
17 199759
18 199214
19 19874
20
Phase I and phototoxicity studies of pseudourea (NSC-56054).
19713

About Eva Frei

Eva Frei is a scholar working on Pharmacology, Biochemistry, Analytical Chemistry, Cancer Research and Oncology, having authored 231 papers that have together received 5.8k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (58 papers), Cancer therapeutics and mechanisms (46 papers), Carcinogens and Genotoxicity Assessment (32 papers), Drug-Induced Hepatotoxicity and Protection (31 papers), Nephrotoxicity and Medicinal Plants (30 papers), Drug Transport and Resistance Mechanisms (26 papers), Glutathione Transferases and Polymorphisms (18 papers) and Cancer Treatment and Pharmacology (17 papers). The work is most often cited by research in Pharmacology (2.1k citations), Analytical Chemistry (909 citations), Cancer Research (879 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Oncology (1.3k citations). Eva Frei has collaborated with scholars based in Germany, Czechia and United Kingdom. Frequent co-authors include Marie Stiborová, Heinz H. Schmeiser, Manfred Wießler, Volker M. Arlt, Petr Hodek, Václav Martínek, Jitka Poljaková, David H. Phillips, Christian A. Bieler and René Kizek. Their work appears in journals such as Cancer Letters, Chemical Research in Toxicology, Carcinogenesis, Biochemical Pharmacology and Toxicology.

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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