G. C. Weir
Impact in
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
-
- Diabetes Management and Research
- Diabetes Treatment and Management
Papers in
- Surgery 7
- Pancreatic function and diabetes 7
-
- Diabetes Management and Research 5
- Co-authors
- Ugo Boggi (1 shared paper)R Lupi (2 shared papers)Michele Masini (1 shared paper)Franco Filipponi (1 shared paper)Décio L. Eizirik (2 shared papers)Piero Marchetti (2 shared papers)Marco Bugliani (1 shared paper)Lorella Marselli (2 shared papers)
- Journals
- Diabetologia (3 papers)Hormone and Metabolic Research (1 paper)Transplantation Proceedings (1 paper)Medical Entomology and Zoology (1 paper)PubMed (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
G. C. Weir
8 papers receiving 519 citations
Peers
Comparison fields: 5 of 55
- Cell Biology 190
- Endocrinology, Diabetes and Metabolism 186
- Surgery 441
- Genetics 211
- Physiology 13
Countries citing papers authored by G. C. Weir
This map shows the geographic impact of G. C. Weir'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 G. C. Weir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. C. Weir more than expected).
Fields of papers citing papers by G. C. Weir
This network shows the impact of papers produced by G. C. Weir. 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 G. C. Weir. The network helps show where G. C. Weir may publish in the future.
Co-authors
The 25 scholars most cited alongside G. C. Weir, 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 | 2007 | 333 | |
| 2 | 2011 | 95 | |
| 3 | 2005 | 63 | |
| 4 | 2014 | 34 | |
| 5 | Beta-cell mass falls progressively when hyperglycemia persists after islet transplantation. | 1992 | 3 |
| 6 | 1998 | 1 | |
| 7 | The increased chemokine and cytokine expression by human islets in type 2 diabetes is mimicked by in vitro human islet exposure to palmitate | 2008 | 1 |
| 8 | Pathogenesis of Non-Insulin-Dependent (Type II) | 1994 | 1 |
About G. C. Weir
G. C. Weir is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology and Pharmacology, having authored 8 papers that have together received 531 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Diabetes Management and Research (5 papers), Diabetes and associated disorders (4 papers), Metabolism, Diabetes, and Cancer (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper), Cannabis and Cannabinoid Research (1 paper), Genetic Syndromes and Imprinting (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Cell Biology (190 citations), Endocrinology, Diabetes and Metabolism (186 citations), Surgery (441 citations), Genetics (211 citations) and Physiology (13 citations). G. C. Weir has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Ugo Boggi, R Lupi, Michele Masini, Franco Filipponi, Décio L. Eizirik, Piero Marchetti, Marco Bugliani, Lorella Marselli, Miriam Cnop and Susan Bonner‐Weir. Their work appears in journals such as Diabetologia, Hormone and Metabolic Research, Transplantation Proceedings, Medical Entomology and Zoology and PubMed.
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.