R. J. Sigal
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Complementary and alternative medicine top 1%
- Public Health, Environmental and Occupational Health top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- George A. WellsElizabeth HaddadMarni J. ArmstrongTavis S. CampbellBrenda R. HemmelgarnPaul E. RonksleyGlen P. KennyNormand G. Boulé
- Topics
- Metabolism, Diabetes, and Cancer (3 papers)Muscle metabolism and nutrition (3 papers)Diabetes Management and Research (3 papers)
- Journals
- American Journal of Clinical NutritionThe Journal of Clinical Endocrinology & MetabolismDiabetologia
- Partner nations
- CanadaUnited States
In The Last Decade
R. J. Sigal
12 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Physiology 458
- Endocrinology, Diabetes and Metabolism 425
- Complementary and alternative medicine 253
- Public Health, Environmental and Occupational Health 248
- Cardiology and Cardiovascular Medicine 187
Countries citing papers authored by R. J. Sigal
This map shows the geographic impact of R. J. Sigal'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 R. J. Sigal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. J. Sigal more than expected).
Fields of papers citing papers by R. J. Sigal
This network shows the impact of papers produced by R. J. Sigal. 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 R. J. Sigal. The network helps show where R. J. Sigal may publish in the future.
Co-authorship network of co-authors of R. J. Sigal
This figure shows the co-authorship network connecting the top 25 collaborators of R. J. Sigal. A scholar is included among the top collaborators of R. J. Sigal 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 R. J. Sigal. R. J. Sigal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 414 | |
| 2 | 41 | |
| 3 | 2 | |
| 4 | 54 | |
| 5 | 415 | |
| 6 | 114 | |
| 7 | 14 | |
| 8 | 58 | |
| 9 | 42 | |
| 10 | 53 | |
| 11 | 49 | |
| 12 | 73 |
About R. J. Sigal
R. J. Sigal is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacy and Applied Psychology, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), Muscle metabolism and nutrition (3 papers) and Diabetes Management and Research (3 papers). The work is most often cited by research in Complementary and alternative medicine (253 citations), Pharmacy (130 citations) and Endocrinology, Diabetes and Metabolism (425 citations). R. J. Sigal has collaborated with scholars based in Canada and United States. Frequent co-authors include George A. Wells, Elizabeth Haddad, Marni J. Armstrong, Tavis S. Campbell, Brenda R. Hemmelgarn, Paul E. Ronksley, Glen P. Kenny, Normand G. Boulé, James H. Warram and M. Vranić. Their work appears in journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and Diabetologia.
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.