Maaike E. Schutte

609 citations
9 papers · 500 · h-index 8

Impact in

    • Phytochemicals and Antioxidant Activities
    • Drug-Induced Hepatotoxicity and Protection

Papers in

Maaike E. Schutte

9 papers receiving 473 citations

Peers

Maaike E. Schutte
Comparison fields: 5 of 77
  • Biochemistry 89
  • Pharmacology 99
  • Hepatology 41
  • Cancer Research 65
  • Complementary and alternative medicine 34
Replace Gerlinde Scharf with:
Gerlinde Scharf Austria
Yuu Osanai Japan
Wan Liao China
Amr Y. Esmat Egypt
Winston A. Morgan United Kingdom
Aristatile Balakrishnan Saudi Arabia
Lianbao Ye China
Abdulrahman M. Alahdal Saudi Arabia
Oday O. Hamiza India
Yasumoto Mizoguchi Japan
Maaike E. Schutte relative to Gerlinde Scharf Austria Gerlinde Scharf's profile →
Citations per field
00.5×1.5×1.9×
Gerlinde Scharf · 1×
Citations per year

Countries citing papers authored by Maaike E. Schutte

Since Specialization
Citations

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

Fields of papers citing papers by Maaike E. Schutte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maaike E. Schutte. 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 Maaike E. Schutte. The network helps show where Maaike E. Schutte may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2005230
2 2006121
3 201164
4 201024
5 200619
6 200517
7 200712
8 20117
9 20086

About Maaike E. Schutte

Maaike E. Schutte is a scholar working on Oncology, Molecular Biology, Surgery, Pediatrics, Perinatology and Child Health and Nutrition and Dietetics, having authored 9 papers that have together received 500 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Pharmacological Effects and Toxicity Studies (2 papers), Molecular Biology Techniques and Applications (2 papers), Trace Elements in Health (1 paper), Cell Image Analysis Techniques (1 paper), Cholesterol and Lipid Metabolism (1 paper), Computational Drug Discovery Methods (1 paper) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Biochemistry (89 citations), Pharmacology (99 citations), Hepatology (41 citations), Cancer Research (65 citations) and Complementary and alternative medicine (34 citations). Maaike E. Schutte has collaborated with scholars based in Netherlands, United Kingdom and Switzerland. Frequent co-authors include Ivonne M.C.M. Rietjens, G.M. Alink, Marelle G. Boersma, Hester van der Woude, S.M.F. Jeurissen, John P. Groten, Jelmer J. van Zanden, Walter Brand, Gary Williamson and Nicole H.P. Cnubben. Their work appears in journals such as Food and Chemical Toxicology, Assay and Drug Development Technologies, Biomedicine & Pharmacotherapy, Cancer Letters 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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