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.
A cost-benefit analysis of electronic medical records in primary care
2003521 citationsSamuel J. Wang, Blackford Middleton et al.The American Journal of Medicineprofile →
Patients’ Satisfaction with and Preference for Telehealth Visits
2015413 citationsJennifer M. Polinski, Tobias Barker et al.Journal of General Internal Medicineprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Andrew J. Sussman
Since
Specialization
Citations
This map shows the geographic impact of Andrew J. Sussman'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 Andrew J. Sussman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew J. Sussman more than expected).
Fields of papers citing papers by Andrew J. Sussman
This network shows the impact of papers produced by Andrew J. Sussman. 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 Andrew J. Sussman. The network helps show where Andrew J. Sussman may publish in the future.
Co-authorship network of co-authors of Andrew J. Sussman
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Sussman.
A scholar is included among the top collaborators of Andrew J. Sussman 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 Andrew J. Sussman. Andrew J. Sussman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
19 of 19 papers shown
1.
Irwin, Richard S., Scott Manaker, Mark L. Metersky, et al.. (2017). Higher Priced Older Pharmaceuticals. CHEST Journal. 153(1). 23–33.2 indexed citations
Polinski, Jennifer M., Tobias Barker, Nancy Gagliano, et al.. (2015). Patients’ Satisfaction with and Preference for Telehealth Visits. Journal of General Internal Medicine. 31(3). 269–275.413 indexed citations breakdown →
5.
Shrank, William H., Andrew J. Sussman, & Troyen A. Brennan. (2014). The role of retail pharmacies in CVD prevention after the release of the ATP IV guidelines.. PubMed. 20(11). e487–9.1 indexed citations
6.
Shrank, William H., Alexis A. Krumme, Angela Tong, et al.. (2014). Quality of care at retail clinics for 3 common conditions.. PubMed. 20(10). 794–801.14 indexed citations
7.
Sussman, Andrew J., Lisette Dunham, Olga S. Matlin, et al.. (2013). Retail clinic utilization associated with lower total cost of care.. PubMed. 19(4). e148–57.18 indexed citations
Wang, Samuel J., Blackford Middleton, Lisa A. Prosser, et al.. (2003). A cost-benefit analysis of electronic medical records in primary care. The American Journal of Medicine. 114(5). 397–403.521 indexed citations breakdown →
Sittig, Dean F., Michael J. Franklin, Andrew J. Sussman, et al.. (1998). Design and development of a computer-based clinical referral system for use within a physician hospital organization.. PubMed. 52 Pt 1. 98–102.1 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.