Danielle B. Rice

89 papers receiving 1.4k citations

Peers

Danielle B. Rice
Comparison fields: 5 of 147
  • Statistics, Probability and Uncertainty 294
  • Health Informatics 50
  • Information Systems and Management 120
  • Rehabilitation 87
  • Pharmacology 165
Replace Robin Paynter with:
Robin Paynter United States
Péter Kakuk Hungary
Paola De Castro Italy
Allison Hirst United Kingdom
Shannon Kelly Canada
Viet-Thi Tran France
Eugenia Cronin United Kingdom
Pierre Frémont Canada
Caroline Fairhurst United Kingdom
Ghada Abo-Zaid United Kingdom
Danielle B. Rice relative to Robin Paynter United States Robin Paynter's profile →
Citations per field
00.5×7.1×
Robin Paynter · 1×
Citations per year

Countries citing papers authored by Danielle B. Rice

Since Specialization
Citations

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

Fields of papers citing papers by Danielle B. Rice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle B. Rice. 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 Danielle B. Rice. The network helps show where Danielle B. Rice may publish in the future.

Co-authors

The 25 scholars most cited alongside Danielle B. Rice, 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 Danielle B. Rice Line = papers co-authored together Danielle B. Rice links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020127
2 2019110
3 201993
4 202079
5 202073
6 202067
7 201653
8 201738
9 202232
10 202129
11 201629
12 202328
13 201427
14 201826
15 202024
16 202223
17 201620
18 201618
19 201918
20 202017

About Danielle B. Rice

Danielle B. Rice is a scholar working on Epidemiology, Psychiatry and Mental health, General Health Professions, Pharmacology and Public Health, Environmental and Occupational Health, having authored 96 papers that have together received 1.4k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (17 papers), Meta-analysis and systematic reviews (12 papers), scientometrics and bibliometrics research (9 papers), Mental Health Treatment and Access (9 papers), Stroke Rehabilitation and Recovery (8 papers), Substance Abuse Treatment and Outcomes (8 papers), Systemic Sclerosis and Related Diseases (7 papers) and Maternal Mental Health During Pregnancy and Postpartum (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (294 citations), Health Informatics (50 citations), Information Systems and Management (120 citations), Rehabilitation (87 citations) and Pharmacology (165 citations). Danielle B. Rice has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include David Moher, Brett D. Thombs, Hana Raffoul, Brian Hutton, John P. A. Ioannidis, Becky Skidmore, Robert Teasell, Manoj M. Lalu, Candyce Hamel and Patricia A. Poulin. Their work appears in journals such as BMJ Open, Disability and Rehabilitation, Pain Research and Management, Journal of Clinical Epidemiology and PLoS ONE.

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.

Explore authors with similar magnitude of impact