Gordon Law
Impact in
-
- Diabetes Treatment and Management
- Diabetes Management and Research
- Nephrology top 1%
- Chronic Kidney Disease and Diabetes
Papers in
-
- Chronic Kidney Disease and Diabetes 4
-
- Diabetes Treatment and Management 8
- Diabetes Management and Research 4
- Co-authors
- Mehul DesaiWayne ShawNgozi EronduKenneth W. MahaffeyBruce NealVlado PerkovicDavid R. MatthewsGreg Fulcher
- Journals
- Canadian Journal of Diabetes (2 papers)Diabetes Obesity and Metabolism (1 paper)Journal of the American Academy of Child & Adolescent Psychiatry (1 paper)Diabetes Care (1 paper)Kidney International Reports (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Gordon Law
12 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Endocrinology, Diabetes and Metabolism 5.2k
- Nephrology 669
- Cardiology and Cardiovascular Medicine 1.2k
- Surgery 2.1k
- Pharmacology 678
Countries citing papers authored by Gordon Law
This map shows the geographic impact of Gordon Law'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 Gordon Law with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gordon Law more than expected).
Fields of papers citing papers by Gordon Law
This network shows the impact of papers produced by Gordon Law. 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 Gordon Law. The network helps show where Gordon Law may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gordon Law, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 16 | |
| 2 | 2023 | 3 | |
| 3 | 2021 | 8 | |
| 4 | Canagliflozin and Cardiovascular and Renal Events in Type 2 Diabetes Hit paper breakdown → | 2017 | 5379 |
| 5 | 2017 | 79 | |
| 6 | 2016 | 12 | |
| 7 | Effects of Canagliflozin on Fracture Risk in Patients With Type 2 Diabetes Mellitus Hit paper breakdown → | 2015 | 337 |
| 8 | 2014 | 2 | |
| 9 | 2013 | 132 | |
| 10 | 2009 | 8 | |
| 11 | 2004 | 61 | |
| 12 | 2000 | 245 |
About Gordon Law
Gordon Law is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Statistics, Probability and Uncertainty, Cardiology and Cardiovascular Medicine and Hepatology, having authored 12 papers that have together received 6.3k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (8 papers), Chronic Kidney Disease and Diabetes (4 papers), Diabetes Management and Research (4 papers), Pancreatic function and diabetes (3 papers), Cardiovascular Function and Risk Factors (2 papers), Meta-analysis and systematic reviews (1 paper), Liver Disease and Transplantation (1 paper) and Obsessive-Compulsive Spectrum Disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (5.2k citations), Nephrology (669 citations), Cardiology and Cardiovascular Medicine (1.2k citations), Surgery (2.1k citations) and Pharmacology (678 citations). Gordon Law has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Mehul Desai, Wayne Shaw, Ngozi Erondu, Kenneth W. Mahaffey, Bruce Neal, Vlado Perkovic, David R. Matthews, Greg Fulcher, Dick de Zeeuw and Gary Meininger. Their work appears in journals such as Canadian Journal of Diabetes, Diabetes Obesity and Metabolism, Journal of the American Academy of Child & Adolescent Psychiatry, Diabetes Care and Kidney International Reports.
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.