Nicolas Vrydags

953 total citations
7 papers, 808 citations indexed

About

Nicolas Vrydags is a scholar working on Psychiatry and Mental health, Molecular Biology and Biological Psychiatry. According to data from OpenAlex, Nicolas Vrydags has authored 7 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Psychiatry and Mental health, 2 papers in Molecular Biology and 2 papers in Biological Psychiatry. Recurrent topics in Nicolas Vrydags's work include Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers), Stress Responses and Cortisol (2 papers) and Coenzyme Q10 studies and effects (2 papers). Nicolas Vrydags is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers), Stress Responses and Cortisol (2 papers) and Coenzyme Q10 studies and effects (2 papers). Nicolas Vrydags collaborates with scholars based in Belgium and Poland. Nicolas Vrydags's co-authors include Eugène Bosmans, Marc Uytterhoeven, Marta Kubera, Michaël Maes, Ivanka Mihaylova, B. Mahieu, Hans Pottel, Kathleen Croes and Frank Martens and has published in prestigious journals such as Journal of Affective Disorders, Clinica Chimica Acta and Medical Science Monitor.

In The Last Decade

Nicolas Vrydags

7 papers receiving 781 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicolas Vrydags Belgium 7 285 245 200 167 102 7 808
Catherine N. Black Netherlands 9 423 1.5× 90 0.4× 251 1.3× 167 1.0× 37 0.4× 11 964
H. Serdar Gergerlioğlu Türkiye 15 295 1.0× 341 1.4× 93 0.5× 113 0.7× 14 0.1× 27 844
Aslı Sarandöl Türkiye 14 404 1.4× 210 0.9× 279 1.4× 157 0.9× 9 0.1× 52 989
Mehmet Yumru Türkiye 11 392 1.4× 419 1.7× 183 0.9× 97 0.6× 9 0.1× 28 940
Maria Radziwoń-Zaleska Poland 12 150 0.5× 118 0.5× 103 0.5× 75 0.4× 22 0.2× 28 793
Hasan Efe Türkiye 10 344 1.2× 95 0.4× 256 1.3× 125 0.7× 10 0.1× 19 873
Ivanka Mihaylova Poland 9 415 1.5× 308 1.3× 303 1.5× 185 1.1× 6 0.1× 9 848
Marc Uytterhoeven Belgium 7 285 1.0× 243 1.0× 200 1.0× 167 1.0× 5 0.0× 7 730
Chun-Hsin Chen Taiwan 24 212 0.7× 430 1.8× 50 0.3× 259 1.6× 8 0.1× 53 1.3k

Countries citing papers authored by Nicolas Vrydags

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Vrydags

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Vrydags

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Vrydags. A scholar is included among the top collaborators of Nicolas Vrydags based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicolas Vrydags. Nicolas Vrydags is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Maes, Michaël, Marta Kubera, Marc Uytterhoeven, Nicolas Vrydags, & Eugène Bosmans. (2011). Increased plasma peroxides as a marker of oxidative stress in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Medical Science Monitor. 17(4). SC11–SC15. 71 indexed citations
2.
Maes, Michaël, Ivanka Mihaylova, Marta Kubera, et al.. (2011). Lower whole blood glutathione peroxidase (GPX) activity in depression, but not in myalgic encephalomyelitis / chronic fatigue syndrome: another pathway that may be associated with coronary artery disease and neuroprogression in depression.. PubMed. 32(2). 133–40. 68 indexed citations
3.
Maes, Michaël, Ivanka Mihaylova, Marta Kubera, et al.. (2010). Increased plasma peroxides and serum oxidized low density lipoprotein antibodies in major depression: Markers that further explain the higher incidence of neurodegeneration and coronary artery disease. Journal of Affective Disorders. 125(1-3). 287–294. 128 indexed citations
4.
Maes, Michaël, Ivanka Mihaylova, Marta Kubera, et al.. (2009). Lower plasma Coenzyme Q10 in depression: a marker for treatment resistance and chronic fatigue in depression and a risk factor to cardiovascular disorder in that illness.. PubMed. 30(4). 462–9. 134 indexed citations
5.
Maes, Michaël, Ivanka Mihaylova, Marta Kubera, et al.. (2009). Increased 8-hydroxy-deoxyguanosine, a marker of oxidative damage to DNA, in major depression and myalgic encephalomyelitis / chronic fatigue syndrome.. PubMed. 30(6). 715–22. 133 indexed citations
6.
Maes, Michaël, Ivanka Mihaylova, Marta Kubera, et al.. (2009). Coenzyme Q10 deficiency in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is related to fatigue, autonomic and neurocognitive symptoms and is another risk factor explaining the early mortality in ME/CFS due to cardiovascular disorder.. PubMed. 30(4). 470–6. 120 indexed citations
7.
Pottel, Hans, et al.. (2008). Establishing age/sex related serum creatinine reference intervals from hospital laboratory data based on different statistical methods. Clinica Chimica Acta. 396(1-2). 49–55. 154 indexed citations

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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