Frank Twisk

1.1k total citations
28 papers, 770 citations indexed

About

Frank Twisk is a scholar working on Psychiatry and Mental health, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Frank Twisk has authored 28 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Psychiatry and Mental health, 12 papers in Pharmacology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Frank Twisk's work include Fibromyalgia and Chronic Fatigue Syndrome Research (28 papers), Musculoskeletal pain and rehabilitation (12 papers) and Genetic Neurodegenerative Diseases (10 papers). Frank Twisk is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (28 papers), Musculoskeletal pain and rehabilitation (12 papers) and Genetic Neurodegenerative Diseases (10 papers). Frank Twisk collaborates with scholars based in Thailand, Poland and Netherlands. Frank Twisk's co-authors include Michaël Maes, Marta Kubera, Cort Johnson, Jean–Claude Leunis, M. Geffard, Ivana Mihaylova and Keith Geraghty and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Affective Disorders and Psychiatry Research.

In The Last Decade

Frank Twisk

26 papers receiving 678 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Twisk Thailand 12 605 163 157 96 93 28 770
Ivana Mihaylova Belgium 12 491 0.8× 132 0.8× 113 0.7× 51 0.5× 123 1.3× 12 905
Nicoletta Carlo-Stella Italy 5 448 0.7× 176 1.1× 46 0.3× 82 0.9× 20 0.2× 7 560
Rakib U. Rayhan United States 13 351 0.6× 49 0.3× 71 0.5× 93 1.0× 44 0.5× 17 526
Emmanuel Bäckryd Sweden 18 352 0.6× 29 0.2× 123 0.8× 265 2.8× 53 0.6× 60 908
Sara Llamas‐Velasco Spain 14 189 0.3× 30 0.2× 115 0.7× 21 0.2× 88 0.9× 42 561
Pradip Joshi United States 2 771 1.3× 216 1.3× 183 1.2× 158 1.6× 32 0.3× 4 876
Sally I. Sharp United Kingdom 15 295 0.5× 30 0.2× 92 0.6× 50 0.5× 129 1.4× 26 753
Susan Ling Canada 6 211 0.3× 26 0.2× 712 4.5× 38 0.4× 78 0.8× 7 1.0k
Ufuk Ergün Türkiye 13 145 0.2× 16 0.1× 128 0.8× 37 0.4× 58 0.6× 49 655
Liu Shui China 5 153 0.3× 30 0.2× 49 0.3× 207 2.2× 85 0.9× 8 669

Countries citing papers authored by Frank Twisk

Since Specialization
Citations

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

Fields of papers citing papers by Frank Twisk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Twisk

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Twisk. A scholar is included among the top collaborators of Frank Twisk 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 Frank Twisk. Frank Twisk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Twisk, Frank. (2020). ME (Ramsay) and ME-International Case Criteria (ME-ICC): two distinct clinical entities. Journal of Translational Medicine. 18(1). 447–447. 1 indexed citations
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Twisk, Frank. (2018). Myalgic Encephalomyelitis or What? The International Consensus Criteria. Diagnostics. 9(1). 1–1. 8 indexed citations
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Twisk, Frank. (2018). Myalgic Encephalomyelitis (ME) or What? An Operational Definition. Diagnostics. 8(3). 64–64. 10 indexed citations
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Twisk, Frank. (2015). Commentary on Jason et al. (2015): towards separate empirical case definitions of Myalgic Encephalomyelitis and chronic fatigue syndrome. Health Psychology and Behavioral Medicine. 3(1). 109–110. 2 indexed citations
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Twisk, Frank. (2015). Prolonged Abnormal Effects of Exercise in Myalgic Encephalomyelitis and Chronic Fatigue Syndrome. 3 indexed citations
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Maes, Michaël, Ivana Mihaylova, Marta Kubera, et al.. (2012). IgM-mediated autoimmune responses directed against anchorage epitopes are greater in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) than in major depression. Metabolic Brain Disease. 27(4). 415–423. 42 indexed citations
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Maes, Michaël, et al.. (2011). Increased IgA responses to the LPS of commensal bacteria is associated with inflammation and activation of cell-mediated immunity in chronic fatigue syndrome. Journal of Affective Disorders. 136(3). 909–917. 90 indexed citations
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Maes, Michaël & Frank Twisk. (2009). Chronic fatigue syndrome: la bête noire of the Belgian health care system.. PubMed. 30(3). 300–11. 11 indexed citations
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Twisk, Frank & Michaël Maes. (2009). A review on cognitive behavorial therapy (CBT) and graded exercise therapy (GET) in myalgic encephalomyelitis (ME) / chronic fatigue syndrome (CFS): CBT/GET is not only ineffective and not evidence-based, but also potentially harmful for many patients with ME/CFS.. PubMed. 30(3). 284–99. 85 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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