Shahriar Khan

663 total citations
25 papers, 446 citations indexed

About

Shahriar Khan is a scholar working on General Health Professions, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Shahriar Khan has authored 25 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Health Professions, 7 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Epidemiology. Recurrent topics in Shahriar Khan's work include Chronic Disease Management Strategies (6 papers), Diabetes Management and Education (6 papers) and Healthcare Policy and Management (5 papers). Shahriar Khan is often cited by papers focused on Chronic Disease Management Strategies (6 papers), Diabetes Management and Education (6 papers) and Healthcare Policy and Management (5 papers). Shahriar Khan collaborates with scholars based in Canada, United States and United Kingdom. Shahriar Khan's co-authors include Tyler Williamson, Richard Birtwhistle, Michael Green, Neil Drummond, Stephanie Garies, John Queenan, Eliot Frymire, Baiju R. Shah, Jennifer Walker and Morgan Slater and has published in prestigious journals such as SHILAP Revista de lepidopterología, Canadian Medical Association Journal and BMJ Open.

In The Last Decade

Shahriar Khan

24 papers receiving 438 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shahriar Khan Canada 13 145 106 99 93 50 25 446
Carmen Parrotta United States 7 329 2.3× 205 1.9× 176 1.8× 74 0.8× 49 1.0× 11 625
Juliet Rumball‐Smith New Zealand 11 141 1.0× 47 0.4× 38 0.4× 52 0.6× 50 1.0× 24 385
Elizabeth Nauman United States 13 176 1.2× 95 0.9× 157 1.6× 79 0.8× 64 1.3× 41 558
Sarah Dineen‐Griffin Australia 8 228 1.6× 114 1.1× 75 0.8× 57 0.6× 39 0.8× 23 526
Luíz Miguel Santiago Portugal 11 153 1.1× 183 1.7× 55 0.6× 92 1.0× 83 1.7× 102 517
Mohammed Alim India 7 179 1.2× 125 1.2× 42 0.4× 72 0.8× 69 1.4× 11 487
Ivo Smeele Netherlands 19 300 2.1× 163 1.5× 68 0.7× 131 1.4× 36 0.7× 46 937
Teklewoini Mariye Ethiopia 16 107 0.7× 122 1.2× 115 1.2× 57 0.6× 109 2.2× 31 590
Palash Chandra Banik Bangladesh 13 63 0.4× 71 0.7× 133 1.3× 120 1.3× 111 2.2× 65 506
Clare Bayram Australia 13 191 1.3× 70 0.7× 34 0.3× 120 1.3× 33 0.7× 37 552

Countries citing papers authored by Shahriar Khan

Since Specialization
Citations

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

Fields of papers citing papers by Shahriar Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shahriar Khan. 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 Shahriar Khan. The network helps show where Shahriar Khan may publish in the future.

Co-authorship network of co-authors of Shahriar Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Shahriar Khan. A scholar is included among the top collaborators of Shahriar Khan 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 Shahriar Khan. Shahriar Khan 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.
Premji, Kamila, Richard H. Glazier, Michael Green, et al.. (2025). Trends colliding. Canadian Family Physician. 71(6). 406–416.
2.
Premji, Kamila, Michael Green, Richard H. Glazier, et al.. (2023). Characteristics of patients attached to near-retirement family physicians: a population-based serial cross-sectional study in Ontario, Canada. BMJ Open. 13(12). e074120–e074120. 2 indexed citations
3.
Kiran, Tara, Michael Green, Lidija Latifovic, et al.. (2023). Relational Continuity, Physician Payment, and Team-Based Primary Care in the Canadian Health Care System. The Journal of the American Board of Family Medicine. 36(1). 130–141. 3 indexed citations
4.
Jaakkimainen, Liisa, Imaan Bayoumi, Richard H. Glazier, et al.. (2021). Development and validation of an algorithm using health administrative data to define patient attachment to primary care providers. Journal of Health Organization and Management. 35(6). 733–743. 11 indexed citations
5.
Green, Michael, et al.. (2020). Monitoring, treatment and control of blood glucose and lipids in Ontario First Nations people with diabetes. Canadian Medical Association Journal. 192(33). E937–E945. 8 indexed citations
6.
Walker, Jennifer, Morgan Slater, Baiju R. Shah, et al.. (2020). Diabetes prevalence, incidence and mortality in First Nations and other people in Ontario, 1995–2014: a population-based study using linked administrative data. Canadian Medical Association Journal. 192(6). E128–E135. 25 indexed citations
7.
8.
Shulman, Rayzel, Morgan Slater, Shahriar Khan, et al.. (2020). Prevalence, incidence and outcomes of diabetes in Ontario First Nations children: a longitudinal population-based cohort study. CMAJ Open. 8(1). E48–E55. 17 indexed citations
9.
Chu, Anna, Lu Han, Idan Roifman, et al.. (2019). Trends in cardiovascular care and event rates among First Nations and other people with diabetes in Ontario, Canada, 1996–2015. Canadian Medical Association Journal. 191(47). E1291–E1298. 13 indexed citations
10.
Slater, Morgan, Michael Green, Baiju R. Shah, et al.. (2019). First Nations people with diabetes in Ontario: methods for a longitudinal population-based cohort study. CMAJ Open. 7(4). E680–E688. 18 indexed citations
11.
Xu, Yan, Sam Schulman, Dar Dowlatshahi, et al.. (2019). Healthcare resource utilization and costs among patients with direct oral anticoagulant or warfarin-related major bleeding. Thrombosis Research. 182. 12–19. 11 indexed citations
12.
Frymire, Eliot, et al.. (2019). Physician attendance during interhospital patient transfer in Ontario: 2005–2015. PubMed. 24(2). 37–37. 2 indexed citations
13.
14.
Queenan, John, Tyler Williamson, Shahriar Khan, et al.. (2016). Representativeness of patients and providers in the Canadian Primary Care Sentinel Surveillance Network: a cross-sectional study. CMAJ Open. 4(1). E28–E32. 90 indexed citations
15.
Greiver, Michelle, et al.. (2016). Implementation of data management and effect on chronic disease coding in a primary care organisation: A parallel cohort observational study. Journal of Innovation in Health Informatics. 23(3). 580–580. 6 indexed citations
16.
17.
Birtwhistle, Richard, et al.. (2015). Adult obesity prevalence in primary care users: An exploration using Canadian Primary Care Sentinel Surveillance Network (CPCSSN) data. Canadian Journal of Public Health. 106(5). e283–e289. 20 indexed citations
18.
Green, Michael, Denis E. O’Donnell, Tyler Williamson, et al.. (2015). Chronic obstructive pulmonary disease in primary care: an epidemiologic cohort study from the Canadian Primary Care Sentinel Surveillance Network. CMAJ Open. 3(1). E15–E22. 28 indexed citations
19.
Greiver, Michelle, Tyler Williamson, Neil Drummond, et al.. (2013). Developing a method to estimate practice denominators for a national Canadian electronic medical record database. Family Practice. 30(3). 347–354. 16 indexed citations
20.
Craig, Wendy, et al.. (2011). GOVERNMENT COSTS ASSOCIATED WITH DELINQUENT TRAJECTORIES. SHILAP Revista de lepidopterología. 2(2.1). 263–263. 10 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.

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