Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Electronic Patient Portals: Evidence on Health Outcomes, Satisfaction, Efficiency, and Attitudes
2013360 citationsCaroline Goldzweig, Greg Orshansky et al.Annals of Internal Medicineprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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).
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.
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
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
Newberry, Sydne J, Marc A. Riedl, Dena M Bravata, et al.. (2010). Prevalence, Natural History, Diagnosis, and Treatment of Food Allergy.8 indexed citations
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
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.