Julia Bichler

1.4k citations
9 papers · 1.1k · h-index 9

Impact in

Papers in

    • Genomics, phytochemicals, and oxidative stress 5
    • Coenzyme Q10 studies and effects 1
    • Glutathione Transferases and Polymorphisms 1
    • Carcinogens and Genotoxicity Assessment 6

Julia Bichler

9 papers receiving 1.1k citations

Peers

Julia Bichler
Comparison fields: 5 of 106
  • Clinical Biochemistry 377
  • Biochemistry 89
  • Pharmacology 103
  • Endocrinology, Diabetes and Metabolism 193
  • Cancer Research 153
Replace Janique Richoz with:
Janique Richoz Switzerland
Xiangyu Cao China
Kwang Sik Suh South Korea
Carlos E. Vaca Sweden
Tetsuya Suga Japan
Niloy Bhattacharjee India
Kahkashan Rashid India
C. Janzowski Germany
Zariyantey Abd Hamid Malaysia
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Julia Bichler relative to Janique Richoz Switzerland Janique Richoz's profile →
Citations per field
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Citations per year

Countries citing papers authored by Julia Bichler

Since Specialization
Citations

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

Fields of papers citing papers by Julia Bichler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 1995440
2 2004305
3 200878
4 200764
5 201049
6
Methods for the detection of antioxidants which prevent age related diseases: a critical review with particular emphasis on human intervention studies.
200549
7 200547
8 201146
9 200838

About Julia Bichler

Julia Bichler is a scholar working on Molecular Biology, Cancer Research, Plant Science, Pharmacology and Health, Toxicology and Mutagenesis, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (6 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Coenzyme Q10 studies and effects (1 paper), Powdery Mildew Fungal Diseases (1 paper), Glutathione Transferases and Polymorphisms (1 paper), Natural Antidiabetic Agents Studies (1 paper), Pesticide Exposure and Toxicity (1 paper) and Tannin, Tannase and Anticancer Activities (1 paper). The work is most often cited by research in Clinical Biochemistry (377 citations), Biochemistry (89 citations), Pharmacology (103 citations), Endocrinology, Diabetes and Metabolism (193 citations) and Cancer Research (153 citations). Julia Bichler has collaborated with scholars based in Austria, Czechia and Switzerland. Frequent co-authors include S. Jayarama Reddy, Kevin J. Wells‐Knecht, John Baynes, Suzanne R. Thorpe, Siegfried Knasmüller, Christine Hoelzl, Wolfgang W. Huber, Bernhard Majer, Volker Mersch‐Sundermann and F. Darroudi. Their work appears in journals such as Mutation research. Fundamental and molecular mechanisms of mutagenesis, Biochemistry, Food and Chemical Toxicology, Molecular Nutrition & Food Research and Environmental Health Perspectives.

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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