Imperial College London

DrJanVollert

Faculty of MedicineDepartment of Surgery & Cancer

Research Associate
 
 
 
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Contact

 

j.vollert CV

 
 
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Location

 

Chelsea and Westminster HospitalChelsea and Westminster Campus

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Summary

 

Summary

Dr. Jan Vollert is a bioinformatician with a PhD in Neurophysiology from the Medical Faculty Mannheim of the Ruprecht-Karls-University Heidelberg, Germany. His research focuses on the application of statistical and computational models in pain research, mainly in Quantitative Sensory Testing. He has conducted analyses of quantitative sensory testing data of patients suffering from neuropathic pain that have been largely acknowledged in the field. 

He is a member of the International Association for the Study of Pain (IASP) and its Neuropathic Pain Special Interest Group, where he works on public outreach and trainee representation. He was invited speaker at congresses of the IASP, the NeupSIG, and the European Pain Federation. He published  over 30 peer-reviewed papers, including several high impact papers in Pain, his h-index is 12 and his i10-index is 13.

Selected Publications

Journal Articles

Rice A, Protocol for a systematic review of guidelines for rigour in the design, conduct and analysis of biomedical experiments involving laboratory animals, Bmj Open Science

Uceyler N, Vollert J, Broll B, et al., 2018, Sensory profiles and skin innervation of patients with painful and painless neuropathies, Pain, Vol:159, ISSN:0304-3959, Pages:1867-1876

Vollert J, Magerl W, Baron R, et al., 2018, Pathophysiological mechanisms of neuropathic pain: comparison of sensory phenotypes in patients and human surrogate pain models, Pain, Vol:159, ISSN:0304-3959, Pages:1090-1102

Vollert J, Maier C, Attal N, et al., 2017, Stratifying patients with peripheral neuropathic pain based on sensory profiles: algorithm and sample size recommendations, Pain, Vol:158, ISSN:0304-3959, Pages:1446-1455

Baron R, Maier C, Attal N, et al., 2016, Peripheral neuropathic pain: a mechanism-related organizing principle based on sensory profiles, Pain, Vol:158, ISSN:0304-3959, Pages:261-272

McDonnell A, Schulman B, Ali Z, et al., 2016, Inherited erythromelalgia due to mutations in SCN9A: natural history, clinical phenotype and somatosensory profile, Brain, Vol:139, ISSN:0006-8950, Pages:1052-1065

Vase L, Vollert J, Finnerup NB, et al., 2015, Predictors of the placebo analgesia response in randomized controlled trials of chronic pain: a meta-analysis of the individual data from nine industrially sponsored trials, Pain, Vol:156, ISSN:0304-3959, Pages:1795-1802

Demant DT, Lund K, Vollert J, et al., 2014, The effect of oxcarbazepine in peripheral neuropathic pain depends on pain phenotype: A randomised, double-blind, placebo-controlled phenotype-stratified study, Pain, Vol:155, ISSN:0304-3959, Pages:2263-2273

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