J. Heikoop

536 citations
10 papers · 464 · h-index 9

Impact in

    • Metabolism and Genetic Disorders
    • Peroxisome Proliferator-Activated Receptors
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Metabolism, Diabetes, and Cancer

Papers in

    • Peroxisome Proliferator-Activated Receptors 9
    • Glycosylation and Glycoproteins Research 1
    • Inflammatory mediators and NSAID effects 3

J. Heikoop

10 papers receiving 444 citations

Peers

J. Heikoop
Comparison fields: 5 of 51
  • Clinical Biochemistry 173
  • Molecular Biology 397
  • Biochemistry 38
  • Physiology 104
  • Cancer Research 56
Replace Çiğdem Seher Kasapkara with:
Çiğdem Seher Kasapkara Türkiye
Tom Wagemans Netherlands
Takashi Kato United States
C Morin Canada
Mónica Renedo Spain
Richard G. Lee Australia
Isabella Gosch Germany
SA Boyadjiev United States
Hiroto Tsukano Japan
José Castellano Spain
J. Heikoop relative to Çiğdem Seher Kasapkara Türkiye Çiğdem Seher Kasapkara's profile →
Citations per field
00.5×3.5×
Çiğdem Seher Kasapkara · 1×
Citations per year

Countries citing papers authored by J. Heikoop

Since Specialization
Citations

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

Fields of papers citing papers by J. Heikoop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1992117
2 198784
3 199257
4 199052
5 198749
6
Turnover of peroxisomal vesicles by autophagic proteolysis in cultured fibroblasts from Zellweger patients.
199238
7 199227
8 199323
9 198710
10 19887

About J. Heikoop

J. Heikoop is a scholar working on Molecular Biology, Pharmacology, Clinical Biochemistry, Physiology and Epidemiology, having authored 10 papers that have together received 464 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (9 papers), Metabolism and Genetic Disorders (3 papers), Inflammatory mediators and NSAID effects (3 papers), Autophagy in Disease and Therapy (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Glycosylation and Glycoproteins Research (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper) and Bone and Joint Diseases (1 paper). The work is most often cited by research in Clinical Biochemistry (173 citations), Molecular Biology (397 citations), Biochemistry (38 citations), Physiology (104 citations) and Cancer Research (56 citations). J. Heikoop has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include J. M. Tager, R. B. H. Schutgens, R. J. A. Wanders, Herbert Schumacher, Marlene van den Berg, Ronald J. A. Wanders, C W van Roermund, A. W. Schram, H. van den Bosch and A. J. Meijer. Their work appears in journals such as Journal of Inherited Metabolic Disease, Journal of Clinical Investigation, Clinica Chimica Acta, Experimental Cell Research and FEBS Letters.

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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