Paul Wicks

7.8k citations
115 papers · 4.5k · 1 hit paper · h-index 38

Impact in

Papers in

Paul Wicks

111 papers receiving 4.2k citations

Paul Wicks's Hit Papers

Sharing Health Data for Better Outcomes on PatientsLikeMe 2010 · 496 citations
4960+5+10Years since publication100200300400

Peers

Paul Wicks
Comparison fields: 5 of 159
  • Health Informatics 163
  • Neurology 983
  • Applied Psychology 258
  • Health 304
  • Family Practice 63
Replace Gabriella Pravettoni with:
Gabriella Pravettoni Italy
Anne M. Stiggelbout Netherlands
Steven Joffe United States
Ellen Wright Clayton United States
Tim Friede Germany
Eric Q. Wu United States
Jim Grigsby United States
Ben Goldacre United Kingdom
Michael Weiner United States
Monique Jaspers Netherlands
Paul Wicks relative to Gabriella Pravettoni Italy Gabriella Pravettoni's profile →
Citations per field
00.5×2×3×4×4.6×
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 115 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 →
2010496
2 2011257
3 2020191
4 2014175
5 2021144
6 2023128
7 2010118
8 2011117
9 2020104
10 2013101
11 200797
12 201197
13 202082
14 201680
15 201378
16 200977
17 202271
18
PatientsLikeMe: Consumer health vocabulary as a folksonomy.
200868
19 201167
20 201466

About Paul Wicks

Paul Wicks is a scholar working on Neurology, General Health Professions, Molecular Biology, Public Health, Environmental and Occupational Health and Genetics, having authored 115 papers that have together received 4.5k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (28 papers), Digital Mental Health Interventions (10 papers), Neurogenetic and Muscular Disorders Research (9 papers), Mobile Health and mHealth Applications (8 papers), Multiple Sclerosis Research Studies (8 papers), Social Media in Health Education (8 papers), Ethics in Clinical Research (8 papers) and Mental Health and Patient Involvement (7 papers). The work is most often cited by research in Health Informatics (163 citations), Neurology (983 citations), Applied Psychology (258 citations), Health (304 citations) and Family Practice (63 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, Stephen Gilbert, Richard N Bradley, Laura H. Goldstein and Sharon Abrahams. Their work appears in journals such as Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, Journal of Medical Internet Research, Value in Health, 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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