Didima de Groot

1.1k citations
16 papers · 597 · h-index 9

Impact in

Papers in

Didima de Groot

16 papers receiving 583 citations

Peers

Didima de Groot
Comparison fields: 5 of 100
  • Developmental Neuroscience 76
  • Health, Toxicology and Mutagenesis 168
  • Cell Biology 199
  • Small Animals 53
  • Cellular and Molecular Neuroscience 101
Replace Sok‐Keng Tong with:
Sok‐Keng Tong Taiwan
Martine Behra United States
Kelly Juliana Seibt Brazil
Janie S. Brooks South Korea
Arantza Muriana United States
Rüdiger Alshut Germany
Holly Richendrfer United States
Tae‐Ik Choi South Korea
Donnie Eddins United States
Shengya Guo China
Didima de Groot relative to Sok‐Keng Tong Taiwan Sok‐Keng Tong's profile →
Citations per field
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Citations per year

Countries citing papers authored by Didima de Groot

Since Specialization
Citations

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

Fields of papers citing papers by Didima de Groot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Didima de Groot. 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 Didima de Groot. The network helps show where Didima de Groot may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2012169
2 201299
3 200984
4 198870
5 201255
6 201437
7 201335
8 201524
9 200510
10 20116
11 20153
12 20081
13 20081
14 20121
15 20111
16
Application of stereology and morphometry on synapses and neurons in the hippocampus of ageing rats : an illustration of problems and solutions
19941

About Didima de Groot

Didima de Groot is a scholar working on Health, Toxicology and Mutagenesis, Cell Biology, Molecular Biology, Pediatrics, Perinatology and Child Health and Developmental Neuroscience, having authored 16 papers that have together received 597 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (4 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Environmental Toxicology and Ecotoxicology (3 papers), Anesthesia and Neurotoxicity Research (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Pluripotent Stem Cells Research (2 papers), Birth, Development, and Health (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). The work is most often cited by research in Developmental Neuroscience (76 citations), Health, Toxicology and Mutagenesis (168 citations), Cell Biology (199 citations), Small Animals (53 citations) and Cellular and Molecular Neuroscience (101 citations). Didima de Groot has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include André Wolterbeek, Ruud Woutersen, Celine de Esch, Roderick C. Slieker, Rob Willemsen, Philippe Grandjean, Herma van der Linde, Donald A. Fox, Merle G. Paule and Timothy J. Shafer. Their work appears in journals such as Reproductive Toxicology, Neurotoxicology and Teratology, Toxicology Letters, Toxicologic Pathology and Environmental Toxicology and Pharmacology.

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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