G. Sundkvist
- Endocrinology, Diabetes and Metabolism top 0.2%
- Surgery top 0.5%
- Genetics top 0.2%
- Cardiology and Cardiovascular Medicine top 2%
- Physiology top 2%
- Co-authors
- B. LiljaÅke LernmarkMona Landin‐OlssonAnders GottsäterPer FernlundPeter JerntorpGisela DahlquistHenrik Borg
- Topics
- Diabetes and associated disorders (72 papers)Pancreatic function and diabetes (63 papers)Diabetes Management and Research (61 papers)
- Journals
- New England Journal of MedicineJournal of Clinical InvestigationThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
G. Sundkvist
167 papers receiving 6.8k citations
Peers
Comparison fields: 5 of 134
- Endocrinology, Diabetes and Metabolism 3.5k
- Surgery 3.5k
- Genetics 3.2k
- Cardiology and Cardiovascular Medicine 1.2k
- Physiology 1.0k
Countries citing papers authored by G. Sundkvist
This map shows the geographic impact of G. Sundkvist'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. Sundkvist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Sundkvist more than expected).
Fields of papers citing papers by G. Sundkvist
This network shows the impact of papers produced by G. Sundkvist. 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. Sundkvist. The network helps show where G. Sundkvist may publish in the future.
Co-authorship network of co-authors of G. Sundkvist
This figure shows the co-authorship network connecting the top 25 collaborators of G. Sundkvist. A scholar is included among the top collaborators of G. Sundkvist 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 G. Sundkvist. G. Sundkvist is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 110 | |
| 2 | 42 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 34 | |
| 6 | Islet antibodies at diagnosis versus beta-cell function eight years later in young adult patients with diabetes. | 2 |
| 7 | 25 | |
| 8 | 64 | |
| 9 | 72 | |
| 10 | 50 | |
| 11 | 20 | |
| 12 | 11 | |
| 13 | 14 | |
| 14 | 160 | |
| 15 | Islet cell antibodies and fasting plasma C-peptide during the first 10 yr after diagnosis in patients with diabetes mellitus diagnosed in adult age | 6 |
| 16 | 98 | |
| 17 | 91 | |
| 18 | 10 | |
| 19 | 24 | |
| 20 | Effects of chlorpropamide and alcohol on aldehyde dehydrogenase activity and blood acetaldehyde concentration. | 4 |
About G. Sundkvist
G. Sundkvist is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 170 papers that have together received 7.1k indexed citations. Recurring topics across this work include Diabetes and associated disorders (72 papers), Pancreatic function and diabetes (63 papers) and Diabetes Management and Research (61 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.5k citations), Genetics (3.2k citations) and Surgery (3.5k citations). G. Sundkvist has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include B. Lilja, Åke Lernmark, Mona Landin‐Olsson, Anders Gottsäter, Per Fernlund, Peter Jerntorp, Gisela Dahlquist, Henrik Borg, G. Blohmé and Jan Bolinder. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Investigation and The Journal of Clinical Endocrinology & Metabolism.
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.