Paul Wicks

108 papers receiving 3.9k citations

Paul Wicks's Hit Papers

Sharing Health Data for Better Outcomes on PatientsLikeMe 2010 · 436 citations
4360+5+10Years since publication100200300400

Peers

Paul Wicks
Comparison fields: 5 of 166
  • Health Informatics 189
  • Neurology 1.0k
  • Family Practice 142
  • Applied Psychology 300
  • Health 393
Replace Gabriella Pravettoni with:
Gabriella Pravettoni Italy
Anne M. Stiggelbout Netherlands
Paul Stang United States
Eric Q. Wu United States
Tim Friede Germany
Steven Joffe United States
Wylie Burke United States
Ellen Wright Clayton United States
Ben Goldacre United Kingdom
Ben Freedman Australia
Paul Wicks relative to Gabriella Pravettoni Italy Gabriella Pravettoni's profile →
Citations per field
00.5×3.7×
Gabriella Pravettoni · 1×
Citations per year

Countries citing papers authored by Paul Wicks

Since Specialization
Citations

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

Fields of papers citing papers by Paul Wicks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Paul Wicks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paul Wicks Line = papers co-authored together Paul Wicks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sharing Health Data for Better Outcomes on PatientsLikeMe
Hit paper breakdown →
2010436
2 2011234
3 2020178
4 2014168
5 2021114
6 2023112
7 2010112
8 2011110
9 201397
10 202095
11 200793
12 201184
13 201675
14 202075
15 200971
16 201369
17 201166
18 202263
19 201562
20
PatientsLikeMe: Consumer health vocabulary as a folksonomy.
200862

About Paul Wicks

Paul Wicks is a scholar working on Neurology, General Health Professions, Genetics, Public Health, Environmental and Occupational Health and Applied Psychology, having authored 112 papers that have together received 4.1k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (27 papers), Neurogenetic and Muscular Disorders Research (16 papers), Digital Mental Health Interventions (14 papers), Ethics in Clinical Research (11 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers), Multiple Sclerosis Research Studies (10 papers), Mobile Health and mHealth Applications (9 papers) and Social Media in Health Education (9 papers). The work is most often cited by research in Health Informatics (189 citations), Neurology (1.0k citations), Family Practice (142 citations), Applied Psychology (300 citations) and Health (393 citations). Paul Wicks has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Timothy E. Vaughan, Michael P. Massagli, James Heywood, Jeana Frost, Sally Okun, Catherine A. Brownstein, Laura H. Goldstein, Stephen Gilbert, Richard N Bradley and Sharon Abrahams. Their work appears in journals such as Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, Value in Health, Journal of Medical Internet Research, Neurology and European Journal of Neurology.

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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