G. Sundkvist

9.1k citations
170 papers · 7.1k indexed · h-index 51

G. Sundkvist

167 papers receiving 6.8k citations

Peers

G. Sundkvist
Comparison fields: 5 of 134
  • Endocrinology, Diabetes and Metabolism 3.5k
  • Genetics 3.2k
  • Surgery 3.5k
  • Gastroenterology 348
  • Cardiology and Cardiovascular Medicine 1.2k
Replace Knut Dahl‐Jørgensen with:
Knut Dahl‐Jørgensen Norway
Kim C. Donaghue Australia
Kristian F. Hanssen Norway
Roser Casamitjana Spain
Raffaella Buzzetti Italy
B F Clarke United Kingdom
C Ionescu-Tîrgovişte Romania
Fausto Santeusanio Italy
Björn Carlsson Sweden
R. B. Tattersall United Kingdom
G. Sundkvist relative to Knut Dahl‐Jørgensen Norway Knut Dahl‐Jørgensen's profile →
Citations per field
00.5×3.2×
Knut Dahl‐Jørgensen · 1×
Citations per year

Countries citing papers authored by G. Sundkvist

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside G. Sundkvist, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Sundkvist Line = papers co-authored together G. Sundkvist links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2008110
2 200842
3 20071
4 20066
5 200434
6
Islet antibodies at diagnosis versus beta-cell function eight years later in young adult patients with diabetes.
20022
7 200125
8 200164
9 200072
10 200050
11 199720
12 199611
13 199614
14 1993160
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
19926
16 199198
17 199091
18 198910
19 198824
20
Effects of chlorpropamide and alcohol on aldehyde dehydrogenase activity and blood acetaldehyde concentration.
19864

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), Diabetes Management and Research (61 papers), Heart Rate Variability and Autonomic Control (35 papers), Cardiovascular Syncope and Autonomic Disorders (20 papers), Pain Mechanisms and Treatments (16 papers), Diabetes Treatment and Management (14 papers) and Cardiovascular Function and Risk Factors (10 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.

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2026