Debby Van Dam

6.8k citations
127 papers · 4.8k indexed · h-index 39

Impact in

Papers in

    • Tryptophan and brain disorders 8
    • Neuroinflammation and Neurodegeneration Mechanisms 13
    • Parkinson's Disease Mechanisms and Treatments 8

Debby Van Dam

122 papers receiving 4.7k citations

Peers

Debby Van Dam
Comparison fields: 5 of 145
  • Biological Psychiatry 293
  • Neurology 823
  • Cellular and Molecular Neuroscience 1.2k
  • Physiology 1.7k
  • Developmental Neuroscience 214
Replace Ling‐Qiang Zhu with:
Ling‐Qiang Zhu China
Dara L. Dickstein United States
Robert Nisticò Italy
Tao Lu China
Alexander A. Sosunov United States
Marcello D’Amelio Italy
Sylvia E. Perez United States
Jefferson W. Kinney United States
Warren D. Hirst United States
Bryce Vissel Australia
Debby Van Dam relative to Ling‐Qiang Zhu China Ling‐Qiang Zhu's profile →
Citations per field
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Ling‐Qiang Zhu · 1×
Citations per year

Countries citing papers authored by Debby Van Dam

Since Specialization
Citations

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

Fields of papers citing papers by Debby Van Dam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debby Van Dam. 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 Debby Van Dam. The network helps show where Debby Van Dam may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202313
3 20236
4 202127
5 20199
6 201962
7 20197
8 201834
9 201716
10 2017128
11 201721
12 201510
13 201538
14 201563
15 201295
16 201012
17 200913
18 200838
19 200514
20 200548

About Debby Van Dam

Debby Van Dam is a scholar working on Biological Psychiatry, Neurology, Physiology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 127 papers that have together received 4.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (48 papers), Neuroscience and Neuropharmacology Research (16 papers), Cholinesterase and Neurodegenerative Diseases (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Dementia and Cognitive Impairment Research (10 papers), Genetics and Neurodevelopmental Disorders (10 papers), Tryptophan and brain disorders (8 papers) and Parkinson's Disease Mechanisms and Treatments (8 papers). The work is most often cited by research in Biological Psychiatry (293 citations), Neurology (823 citations), Cellular and Molecular Neuroscience (1.2k citations), Physiology (1.7k citations) and Developmental Neuroscience (214 citations). Debby Van Dam has collaborated with scholars based in Belgium, Netherlands and Switzerland. Frequent co-authors include Peter Paul De Deyn, Matthias Staufenbiel, Yannick Vermeiren, R. Frank Kooy, Rudi D’Hooge, Tony Aerts, Sebastiaan Engelborghs, Charlotte D’Hulst, Chris Van Ginneken and Ellen Vloeberghs. Their work appears in journals such as Behavioural Brain Research, Journal of Alzheimer s Disease, Neurobiology of Aging, Neurobiology of Disease and Brain Research.

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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