Gregory C. Shearer
- Nutrition and Dietetics top 0.5%
- Biochemistry top 0.5%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Physiology top 5%
- Co-authors
- William S. HarrisJohn W. NewmanOlga V. SavinovaTheresa L. PedersenRachel E. WalkerGeorge A. KaysenTimothy D. O’ConnellShue Huang
- Topics
- Fatty Acid Research and Health (36 papers)Eicosanoids and Hypertension Pharmacology (26 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers)
- Journals
- Journal of Biological ChemistryCirculationSHILAP Revista de lepidopterología
- Partner nations
- United StatesCanadaChina
In The Last Decade
Gregory C. Shearer
75 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 126
- Nutrition and Dietetics 1.1k
- Biochemistry 782
- Molecular Biology 738
- Endocrinology, Diabetes and Metabolism 535
- Physiology 446
Countries citing papers authored by Gregory C. Shearer
This map shows the geographic impact of Gregory C. Shearer'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 Gregory C. Shearer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory C. Shearer more than expected).
Fields of papers citing papers by Gregory C. Shearer
This network shows the impact of papers produced by Gregory C. Shearer. 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 Gregory C. Shearer. The network helps show where Gregory C. Shearer may publish in the future.
Co-authorship network of co-authors of Gregory C. Shearer
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory C. Shearer. A scholar is included among the top collaborators of Gregory C. Shearer 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 Gregory C. Shearer. Gregory C. Shearer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 6 | |
| 4 | 15 | |
| 5 | 8 | |
| 6 | 12 | |
| 7 | 18 | |
| 8 | 170 | |
| 9 | 39 | |
| 10 | 29 | |
| 11 | 11 | |
| 12 | 50 | |
| 13 | 97 | |
| 14 | 54 | |
| 15 | 37 | |
| 16 | 9 | |
| 17 | 11 | |
| 18 | 18 | |
| 19 | Mechanisms of hypoalbuminemia in hemodialysis patients (Kidney International 48: (510-516)) | 81 |
| 20 | 13 |
About Gregory C. Shearer
Gregory C. Shearer is a scholar working on Biochemistry, Nutrition and Dietetics and Endocrinology, Diabetes and Metabolism, having authored 78 papers that have together received 2.7k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (36 papers), Eicosanoids and Hypertension Pharmacology (26 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers). The work is most often cited by research in Biochemistry (782 citations), Nutrition and Dietetics (1.1k citations) and Endocrinology, Diabetes and Metabolism (535 citations). Gregory C. Shearer has collaborated with scholars based in United States, Canada and China. Frequent co-authors include William S. Harris, John W. Newman, Olga V. Savinova, Theresa L. Pedersen, Rachel E. Walker, George A. Kaysen, Timothy D. O’Connell, Shue Huang, Robert Block and James V. Pottala. Their work appears in journals such as Journal of Biological Chemistry, Circulation and SHILAP Revista de lepidopterología.
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.