Margot Geerts

542 total citations
18 papers, 354 citations indexed

About

Margot Geerts is a scholar working on Physiology, Neurology and Pharmacology. According to data from OpenAlex, Margot Geerts has authored 18 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 12 papers in Neurology and 5 papers in Pharmacology. Recurrent topics in Margot Geerts's work include Pain Mechanisms and Treatments (13 papers), Botulinum Toxin and Related Neurological Disorders (12 papers) and Musculoskeletal pain and rehabilitation (5 papers). Margot Geerts is often cited by papers focused on Pain Mechanisms and Treatments (13 papers), Botulinum Toxin and Related Neurological Disorders (12 papers) and Musculoskeletal pain and rehabilitation (5 papers). Margot Geerts collaborates with scholars based in Netherlands, Curacao and United States. Margot Geerts's co-authors include Catharina G. Faber, Janneke G. J. Hoeijmakers, Bianca T. A. de Greef, Ingemar S. J. Merkies, Ingemar S.J. Merkies, Stephen G. Waxman, Sulayman D. Dib‐Hajj, Sander M. J. van Kuijk, Brigitte A. Brouwer and Maarten van Kleef and has published in prestigious journals such as PLoS ONE, Brain and Neurology.

In The Last Decade

Margot Geerts

18 papers receiving 338 citations

Peers

Margot Geerts

PHYSI

NEURO

CMN

PHARM

L Brewer United States

Gregory Sahagian United States

Karen M. Park United States

Anna Przeklasa-Muszyńska Poland

Panna Sanga United States

Harmandeep Singh India

Naomi Hirakawa Japan

Albert Lamontagne Canada

Juliet M. Mwirigi United States

Rachelle Chambers United States

L Brewer United States

Margot Geerts

141 ×0.6

PHYSI

62 ×0.3

NEURO

75 ×0.6

CMN

52 ×0.9

56 ×1.4

PHARM

Citations per year, relative to Margot Geerts Margot Geerts (= 1×) peers L Brewer

Countries citing papers authored by Margot Geerts

Since Specialization

Citations

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

Fields of papers citing papers by Margot Geerts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margot Geerts

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

All Works

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18 of 18 papers shown

Geerts, Margot, Janneke G. J. Hoeijmakers, Brigitte A.B. Essers, et al.. (2024). Development, validation and feasibility of a Patient Satisfaction Questionnaire for evaluating the quality performance of a diagnostic small fibre neuropathy service: A qualitative study. Health Expectations. 27(2). e14011–e14011. 1 indexed citations

Geerts, Margot, Janneke G. J. Hoeijmakers, Brigitte A.B. Essers, et al.. (2024). Patient satisfaction and patient accessibility in a small fiber neuropathy diagnostic service in the Netherlands: A single-center, prospective, survey-based cohort study. PLoS ONE. 19(4). e0298881–e0298881. 1 indexed citations

Geerts, Margot, et al.. (2023). Small Fiber Neuropathy: A Clinical and Practical Approach. The Journal for Nurse Practitioners. 19(4). 104547–104547. 6 indexed citations

Geerts, Margot, Janneke G. J. Hoeijmakers, Yvonne van Eijk‐Hustings, et al.. (2023). Cost of illness of patients with small fiber neuropathy in the Netherlands. Pain. 165(1). 153–163. 2 indexed citations

Geerts, Margot, Bianca T. A. de Greef, Sander M. J. van Kuijk, et al.. (2021). Intravenous Immunoglobulin Therapy in Patients With Painful Idiopathic Small Fiber Neuropathy. Neurology. 96(20). e2534–e2545. 35 indexed citations

Estación, Mark, Brian S. Tanaka, Bianca T. A. de Greef, et al.. (2020). Differential effect of lacosamide on Nav1.7 variants from responsive and non-responsive patients with small fibre neuropathy. Brain. 143(3). 771–782. 32 indexed citations

Geerts, Margot, et al.. (2019). The Effect of Shear Force on Skin Viability in Patients with Type 2 Diabetes. Journal of Diabetes Research. 2019. 1–9. 8 indexed citations

Rameckers, Eugène, et al.. (2019). Upper Limb Treatment Principles in Intensive Functional Therapy in School-Aged Children and Adolescents with Cerebral Palsy ‘Guidance for therapists : Guidance for therapists. Data Archiving and Networked Services (DANS). 10(2). 110–122. 1 indexed citations

Pickwell, K., et al.. (2019). Regional differences in cell‐mediated immunity in people with diabetic peripheral neuropathy. Diabetic Medicine. 37(2). 350–355. 1 indexed citations

10.

Kanera, Iris M., Joop Ruijgrok, Mariëlle E. J. B. Goossens, et al.. (2018). Living with painful diabetic neuropathy: insights from focus groups into fears and coping strategies. Psychology and Health. 34(1). 84–105. 15 indexed citations

11.

Greef, Bianca T. A. de, Janneke G. J. Hoeijmakers, Margot Geerts, et al.. (2018). Lacosamide in patients with Nav1.7 mutations-related small fibre neuropathy: a randomized controlled trial. Brain. 142(2). 263–275. 78 indexed citations

12.

Greef, Bianca T. A. de, et al.. (2017). Associated conditions in small fiber neuropathy – a large cohort study and review of the literature. European Journal of Neurology. 25(2). 348–355. 101 indexed citations

13.

Greef, Bianca T. A. de, Ingemar S. J. Merkies, Margot Geerts, Catharina G. Faber, & Janneke G. J. Hoeijmakers. (2016). Efficacy, safety, and tolerability of lacosamide in patients with gain-of-function Nav1.7 mutation-related small fiber neuropathy: study protocol of a randomized controlled trial–the LENSS study. Trials. 17(1). 306–306. 15 indexed citations

14.

Greef, Bianca T. A. de, Margot Geerts, Janneke G. J. Hoeijmakers, Catharina G. Faber, & Ingemar S. J. Merkies. (2016). Intravenous immunoglobulin therapy for small fiber neuropathy: study protocol for a randomized controlled trial. Trials. 17(1). 330–330. 19 indexed citations

15.

Brouwer, Brigitte A., Bianca T. A. de Greef, Janneke G. J. Hoeijmakers, et al.. (2015). Neuropathic Pain due to Small Fiber Neuropathy in Aging: Current Management and Future Prospects. Drugs & Aging. 32(8). 611–621. 26 indexed citations

16.

Geerts, Margot, et al.. (2012). Effective Pharmacological Treatment of Painful Diabetic Neuropathy by Nurse Practitioners: Results of an Algorithm-Based Experience. Pain Medicine. 13(10). 1324–1333. 5 indexed citations

17.

Geerts, Margot, et al.. (2009). Prevalence and impact of pain in diabetic neuropathy. 6(2). 58–64. 5 indexed citations

18.

Lachapelle, Jean‐Marie, Michel De La Brassinne, & Margot Geerts. (1973). Maladies de Darier et de Hailey-Hailey: étude comparative de l'incorporation de thymidine tritiée dans les cellules épidermiques.. 29(3). 3 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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