David Wilkie

634 total citations · 1 hit paper
9 papers, 444 citations indexed

About

David Wilkie is a scholar working on Pathology and Forensic Medicine, General Health Professions and Health. According to data from OpenAlex, David Wilkie has authored 9 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 3 papers in General Health Professions and 2 papers in Health. Recurrent topics in David Wilkie's work include Multiple Sclerosis Research Studies (5 papers), Patient-Provider Communication in Healthcare (3 papers) and Vaccine Coverage and Hesitancy (2 papers). David Wilkie is often cited by papers focused on Multiple Sclerosis Research Studies (5 papers), Patient-Provider Communication in Healthcare (3 papers) and Vaccine Coverage and Hesitancy (2 papers). David Wilkie collaborates with scholars based in United Kingdom, Italy and Germany. David Wilkie's co-authors include Richard Nicholas, Chris Frost, Jeremy Chataway, Dennis Chan, David MacManus, Casper Nielsen, Ali Alsanousi, Nick C. Fox, John Greenwood and Virginia L. Calder and has published in prestigious journals such as The Lancet, Neurology and The Lancet Neurology.

In The Last Decade

David Wilkie

8 papers receiving 431 citations

Hit Papers

Effect of high-dose simvastatin on brain atrophy and disa... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Wilkie United Kingdom 7 270 99 91 73 63 9 444
Shaul Kadosh United States 6 333 1.2× 111 1.1× 191 2.1× 46 0.6× 31 0.5× 11 430
M. B. Davies United Kingdom 9 231 0.9× 89 0.9× 138 1.5× 104 1.4× 21 0.3× 12 476
J Scott Sloka Canada 8 228 0.8× 71 0.7× 52 0.6× 30 0.4× 30 0.5× 11 383
R. A. Koopmans Canada 9 379 1.4× 112 1.1× 138 1.5× 56 0.8× 22 0.3× 12 446
Luca Munari Italy 8 396 1.5× 141 1.4× 193 2.1× 59 0.8× 26 0.4× 14 606
Anton Vladić Croatia 12 452 1.7× 141 1.4× 218 2.4× 66 0.9× 42 0.7× 26 726
Kimberly M. Winges United States 9 176 0.7× 50 0.5× 74 0.8× 62 0.8× 25 0.4× 14 353
Caspar E.P. van Munster Netherlands 8 257 1.0× 55 0.6× 110 1.2× 31 0.4× 23 0.4× 20 343
Takafumi Hosokawa Japan 11 132 0.5× 72 0.7× 202 2.2× 52 0.7× 30 0.5× 32 388
Gourab Datta United Kingdom 10 148 0.5× 18 0.2× 51 0.6× 99 1.4× 82 1.3× 12 443

Countries citing papers authored by David Wilkie

Since Specialization
Citations

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

Fields of papers citing papers by David Wilkie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Wilkie

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

All Works

9 of 9 papers shown
2.
Wilkie, David, Alessandra Solari, & Richard Nicholas. (2020). The impact of the face-to-face consultation on decisional conflict in complex decision-making in multiple sclerosis: A pilot study. Multiple Sclerosis Journal - Experimental Translational and Clinical. 6(4). 2455379770–2455379770. 6 indexed citations
3.
Rahn, Anne Christin, Alessandra Solari, Heleen Beckerman, et al.. (2020). “I Will Respect the Autonomy of My Patient”. International Journal of MS Care. 22(6). 285–293. 12 indexed citations
4.
Wilkie, David, Alessandra Solari, & Richard Nicholas. (2019). Initiating disease-modifying treatments in multiple sclerosis: Measuring the decision process using decisional conflict and decisional regret scales. Multiple Sclerosis Journal - Experimental Translational and Clinical. 5(1). 2454252974–2454252974. 5 indexed citations
6.
Heesen, Christoph, Jana Pöttgen, Anne Christin Rahn, et al.. (2017). What should a person with relapsing-remitting multiple sclerosis know? – Focus group and survey data of a risk knowledge questionnaire (RIKNO 2.0). Multiple Sclerosis and Related Disorders. 18. 186–195. 9 indexed citations
7.
Chataway, Jeremy, Nadine Schuerer, Ali Alsanousi, et al.. (2014). Effect of high-dose simvastatin on brain atrophy and disability in secondary progressive multiple sclerosis (MS-STAT): a randomised, placebo-controlled, phase 2 trial. The Lancet. 383(9936). 2213–2221. 304 indexed citations breakdown →
8.
Chataway, Jeremy, Nadine Schuerer, Ali Alsanousi, et al.. (2013). THE MS-STAT TRIAL: High Dose Simvastatin Slows Brain Atrophy and Delays Disability in Secondary Progressive Multiple Sclerosis: A Phase II Placebo-Controlled Trial (PL02.001). Neurology. 80(7_supplement). 6 indexed citations
9.
Fraser, R. P., P. Eisenklam, & David Wilkie. (1959). Investigation of Supersonic Flow Separation in Nozzles. Journal of Mechanical Engineering Science. 1(3). 267–279. 13 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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