Neil M. Paige

1.8k total citations · 1 hit paper
28 papers, 1.3k citations indexed

About

Neil M. Paige is a scholar working on General Health Professions, Surgery and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Neil M. Paige has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Health Professions, 6 papers in Surgery and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Neil M. Paige's work include Patient Satisfaction in Healthcare (4 papers), Healthcare Policy and Management (4 papers) and Primary Care and Health Outcomes (4 papers). Neil M. Paige is often cited by papers focused on Patient Satisfaction in Healthcare (4 papers), Healthcare Policy and Management (4 papers) and Primary Care and Health Outcomes (4 papers). Neil M. Paige collaborates with scholars based in United States, Australia and Russia. Neil M. Paige's co-authors include Paul G Shekelle, Isomi M Miake-Lye, Ali Towfigh, Jessica M Beroes, Caroline Goldzweig, Greg Orshansky, David A. Haggstrom, Marika J Suttorp, Margaret Maglione and Vandana Sundaram and has published in prestigious journals such as JAMA, Annals of Internal Medicine and The Journal of Urology.

In The Last Decade

Neil M. Paige

27 papers receiving 1.3k citations

Hit Papers

Electronic Patient Portals: Evidence on Health Outcomes, ... 2013 2026 2017 2021 2013 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
Neil M. Paige United States 14 419 305 273 201 200 28 1.3k
Eric J. MacLaughlin United States 18 420 1.0× 50 0.2× 17 0.1× 100 0.5× 370 1.9× 57 1.5k
H.J.M. van den Hoogen Netherlands 17 205 0.5× 26 0.1× 29 0.1× 160 0.8× 165 0.8× 44 1.2k
Susannah McLean United Kingdom 16 469 1.1× 305 1.0× 67 0.2× 44 0.2× 350 1.8× 29 1.6k
De Villiers Smit Australia 17 158 0.4× 148 0.5× 14 0.1× 99 0.5× 82 0.4× 71 1.0k
Jaya K. Rao United States 24 689 1.6× 19 0.1× 22 0.1× 71 0.4× 540 2.7× 43 2.3k
Norma O’Flynn United Kingdom 19 193 0.5× 35 0.1× 21 0.1× 167 0.8× 227 1.1× 30 1.1k
Carol Spooner Canada 20 154 0.4× 53 0.2× 12 0.0× 166 0.8× 294 1.5× 27 1.9k
Nabil Sulaiman United Arab Emirates 22 285 0.7× 29 0.1× 32 0.1× 113 0.6× 232 1.2× 81 1.3k
Shafika Abrahams‐Gessel United States 20 460 1.1× 10 0.0× 88 0.3× 182 0.9× 532 2.7× 43 1.8k
I K Crombie United Kingdom 17 147 0.4× 28 0.1× 15 0.1× 90 0.4× 187 0.9× 31 1.1k

Countries citing papers authored by Neil M. Paige

Since Specialization
Citations

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

Fields of papers citing papers by Neil M. Paige

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil M. Paige. 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 Neil M. Paige. The network helps show where Neil M. Paige may publish in the future.

Co-authorship network of co-authors of Neil M. Paige

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

All Works

20 of 20 papers shown
1.
Apaydin, Eric, Neil M. Paige, Meron M. Begashaw, et al.. (2023). Veterans Health Administration (VA) vs. Non-VA Healthcare Quality: A Systematic Review. Journal of General Internal Medicine. 38(9). 2179–2188. 27 indexed citations
2.
Leung, Lucinda B., Tamar Wyte‐Lake, Aram Dobalian, et al.. (2023). Primary Care Team Perspectives on the Suitability of Telehealth Modality (Phone vs Video) at the Veterans Health Administration. Journal of Primary Care & Community Health. 14. 4277793057–4277793057. 6 indexed citations
3.
Der‐Martirosian, Claudia, Karen Chu, W. Neil Steers, et al.. (2022). Examining telehealth use among primary care patients, providers, and clinics during the COVID-19 pandemic. BMC Primary Care. 23(1). 155–155. 16 indexed citations
4.
Mayo‐Smith, Michael F., et al.. (2022). Analysis of Variation in Organizational Definitions of Primary Care Panels. JAMA Network Open. 5(4). e227497–e227497. 5 indexed citations
5.
Paige, Neil M., Eric Apaydin, Jeremy D. Goldhaber‐Fiebert, et al.. (2020). What Is the Optimal Primary Care Panel Size?. Annals of Internal Medicine. 172(3). 195–201. 16 indexed citations
6.
Shekelle, Paul G, Neil M. Paige, Eric Apaydin, et al.. (2019). What is the Optimal Panel Size in Primary Care? A Systematic Review. Europe PMC (PubMed Central). 7 indexed citations
7.
Paige, Neil M., Isomi M Miake-Lye, Marika Booth, et al.. (2017). Association of Spinal Manipulative Therapy With Clinical Benefit and Harm for Acute Low Back Pain. 6 indexed citations
8.
Goldzweig, Caroline, Greg Orshansky, Neil M. Paige, et al.. (2013). Electronic Patient Portals: Evidence on Health Outcomes, Satisfaction, Efficiency, and Attitudes. Annals of Internal Medicine. 20 indexed citations
9.
Goldzweig, Caroline, Ali Towfigh, Neil M. Paige, et al.. (2012). Systematic Review: Secure Messaging Between Providers and Patients, and Patients’ Access to Their Own Medical Record. 13 indexed citations
10.
Paige, Neil M., Sondra Vazirani, & Christopher J. Graber. (2010). The top 10 infectious disease pitfalls that hospitalists can avoid. Journal of Hospital Medicine. 5(1). 42–45. 3 indexed citations
11.
Newberry, Sydne J, Marc A. Riedl, Dena M Bravata, et al.. (2010). Prevalence, Natural History, Diagnosis, and Treatment of Food Allergy: A Systematic Review of the Evidence. 10 indexed citations
12.
Newberry, Sydne J, Marc A. Riedl, Dena M Bravata, et al.. (2010). Diagnosing and Managing Common Food Allergies. JAMA. 303(18). 1848–1848. 332 indexed citations
13.
Newberry, Sydne J, Marc A. Riedl, Dena M Bravata, et al.. (2010). Prevalence, Natural History, Diagnosis, and Treatment of Food Allergy. 8 indexed citations
14.
Paige, Neil M. & Glenn T. Nagami. (2009). The Top 10 Things Nephrologists Wish Every Primary Care Physician Knew. Mayo Clinic Proceedings. 84(2). 180–186. 31 indexed citations
15.
Shekelle, Paul, Brett Munjas, Hau Liu, et al.. (2007). Screening Men for Osteoporosis. 1 indexed citations
16.
Shekelle, Paul, Brett Munjas, Liu H, et al.. (2007). Screening Men for Osteoporosis: Who & How. 6 indexed citations
17.
Paige, Neil M. & Aksone Nouvong. (2006). The Top 10 Things Foot and Ankle Specialists Wish Every Primary Care Physician Knew. Mayo Clinic Proceedings. 81(6). 818–822. 8 indexed citations
18.
Glassman, Peter, et al.. (2001). Cost-sharing for prescriptions of sildenafil and finasteride: a case study in veteran patients.. PubMed. 7(4). 345–53. 5 indexed citations
19.
Paige, Neil M., Ron D. Hays, Mark S. Litwin, Jacob Rajfer, & Martin F. Shapiro. (2001). IMPROVEMENT IN EMOTIONAL WELL-BEING AND RELATIONSHIPS OF USERS OF SILDENAFIL. The Journal of Urology. 166(5). 1774–1778. 68 indexed citations
20.
Paige, Neil M., Ron D. Hays, Mark S. Litwin, Jacob Rajfer, & Martin F. Shapiro. (2001). IMPROVEMENT IN EMOTIONAL WELL-BEING AND RELATIONSHIPS OF USERS OF SILDENAFIL. The Journal of Urology. 1774–1778.

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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