Shaun G. Goodman

639 total citations
16 papers, 200 citations indexed

About

Shaun G. Goodman is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Shaun G. Goodman has authored 16 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Cardiology and Cardiovascular Medicine and 3 papers in Surgery. Recurrent topics in Shaun G. Goodman's work include Diabetes Treatment and Management (8 papers), Diabetes Management and Research (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Shaun G. Goodman is often cited by papers focused on Diabetes Treatment and Management (8 papers), Diabetes Management and Research (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Shaun G. Goodman collaborates with scholars based in Canada, United States and New Zealand. Shaun G. Goodman's co-authors include Andrew T. Yan, Kim A. Connelly, Mario D’Souza, Karice Hyun, Hwee Teoh, Camilla L. Wong, Jacob A. Udell, Akshay Bagai, James Weaver and Derek P. Chew and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Diabetes Care.

In The Last Decade

Shaun G. Goodman

15 papers receiving 199 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaun G. Goodman Canada 7 108 70 50 49 29 16 200
Keld Per Kjeldsen Italy 7 178 1.6× 44 0.6× 80 1.6× 24 0.5× 61 2.1× 9 313
Ke Chai China 5 155 1.4× 35 0.5× 30 0.6× 18 0.4× 14 0.5× 21 235
Rihua Huang China 10 151 1.4× 89 1.3× 45 0.9× 14 0.3× 12 0.4× 25 264
Jabir Abdullakutty India 8 136 1.3× 21 0.3× 26 0.5× 22 0.4× 21 0.7× 43 187
Hillary Mulder United States 9 241 2.2× 53 0.8× 99 2.0× 16 0.3× 33 1.1× 15 376
Bruce M. Psaty United States 4 137 1.3× 27 0.4× 16 0.3× 24 0.5× 16 0.6× 7 177
Edith D. Beishuizen Netherlands 8 151 1.4× 71 1.0× 77 1.5× 8 0.2× 25 0.9× 12 252
Yasunori Kanzaki Japan 13 306 2.8× 16 0.2× 58 1.2× 26 0.5× 17 0.6× 58 402
Aristi Boulmpou Greece 10 132 1.2× 76 1.1× 53 1.1× 8 0.2× 10 0.3× 49 251
Tadaaki Arimura Japan 9 243 2.3× 47 0.7× 62 1.2× 9 0.2× 8 0.3× 36 324

Countries citing papers authored by Shaun G. Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Shaun G. Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaun G. Goodman. 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 Shaun G. Goodman. The network helps show where Shaun G. Goodman may publish in the future.

Co-authorship network of co-authors of Shaun G. Goodman

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

All Works

16 of 16 papers shown
1.
Lópes, Renato D., Daniel Wojdyla, Shaun G. Goodman, et al.. (2025). Antithrombotic Therapy to Minimize Total Events After ACS or PCI in Atrial Fibrillation. Journal of the American College of Cardiology. 85(11). 1157–1168. 2 indexed citations
2.
Connelly, Kim A., Subodh Verma, C. David Mazer, et al.. (2024). Empagliflozin and left atrial function in patients with type 2 diabetes mellitus and coronary artery disease: insight from the EMPA-HEART CardioLink‐6 randomized clinical trial. Cardiovascular Diabetology. 23(1). 319–319. 2 indexed citations
3.
Tsimikas, Sotirios, Michael Szarek, Christa M. Cobbaert, et al.. (2024). Abstract 4140204: Relationship of Oxidized Phospholipids and Lp(a) to Outcomes after Acute Coronary Syndrome: A Post Hoc Analysis of the ODYSSEY OUTCOMES Trial. Circulation. 150(Suppl_1). 1 indexed citations
4.
5.
Verma, Subodh, C. David Mazer, Hwee Teoh, et al.. (2021). Impact of empagliflozin on right ventricular parameters and function among patients with type 2 diabetes. Cardiovascular Diabetology. 20(1). 200–200. 23 indexed citations
6.
Merrill, Peter, John B. Buse, Shaun G. Goodman, et al.. (2019). Clinical Outcomes in Patients With Type 2 Diabetes Mellitus and Peripheral Artery Disease. Circulation Cardiovascular Interventions. 12(12). e008018–e008018. 26 indexed citations
7.
Mancini, G.B. John, Alice Cheng, Kim A. Connelly, et al.. (2018). CardioDiabetes: Core Competencies for Cardiovascular Clinicians in a Rapidly Evolving Era of Type 2 Diabetes Management. Canadian Journal of Cardiology. 34(10). 1350–1361. 4 indexed citations
8.
Kaul, Padma, Karen P. Alexander, E. Magnus Ohman, et al.. (2018). Sex And Prognostic Significance of Self-Reported Frailty in Non–ST-Segment Elevation Acute Coronary Syndromes: Insights From the TRILOGY ACS Trial. Canadian Journal of Cardiology. 35(4). 430–437. 6 indexed citations
9.
Patel, Ashish, Shaun G. Goodman, Andrew T. Yan, et al.. (2018). Frailty and Outcomes After Myocardial Infarction: Insights From the CONCORDANCE Registry. Journal of the American Heart Association. 7(18). e009859–e009859. 59 indexed citations
10.
Fitchett, David, Alice Cheng, Kim A. Connelly, et al.. (2017). A Practical Guide to the Use of Glucose-Lowering Agents With Cardiovascular Benefit or Proven Safety. Canadian Journal of Cardiology. 33(7). 940–942. 4 indexed citations
11.
Mancini, G.B. John, Alice Cheng, Kim A. Connelly, et al.. (2016). Diabetes for Cardiologists: Practical Issues in Diagnosis and Management. Canadian Journal of Cardiology. 33(3). 366–377. 20 indexed citations
12.
Leiter, Lawrence A., Anatoly Langer, Hwee Teoh, et al.. (2016). Glycaemic control and cardiovascular risk factor management in patients with diabetes with and without coronary artery disease: insights from the diabetes mellitus status in Canada survey. European Heart Journal - Quality of Care and Clinical Outcomes. 2(4). 277–284. 13 indexed citations
13.
Goodman, Shaun G., A. Langer, Kim A. Connelly, et al.. (2015). BLOOD PRESSURE MANAGEMENT IN PATIENTS WITH DIABETES: INSIGHTS FROM THE DIABETES MELLITUS STATUS IN CANADA (DM-SCAN) SURVEY. Canadian Journal of Cardiology. 31(10). S265–S266. 1 indexed citations
14.
Teoh, Hwee, Amparo Casanova, Denis Drouin, et al.. (2010). Patient Age, Ethnicity, Medical History, and Risk Factor Profile, but Not Drug Insurance Coverage, Predict Successful Attainment of Glycemic Targets. Diabetes Care. 33(12). 2558–2560. 10 indexed citations
15.
Stinnett, Sandra S., Beth Davison Weatherley, Enrique Gurfinkel, et al.. (2000). Predictors of recurrent ischemic events and death in unstable coronary artery disease after treatment with combination antithrombotic therapy. American Heart Journal. 139(6). 962–970. 25 indexed citations
16.
Goodman, Shaun G., et al.. (1992). Acute coronary thrombotic occlusion following exercise testing 6 weeks after percutaneous transluminal coronary angioplasty. Catheterization and Cardiovascular Diagnosis. 27(1). 40–44. 4 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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2026