Gunnar Skoglund

454 total citations
22 papers, 366 citations indexed

About

Gunnar Skoglund is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Gunnar Skoglund has authored 22 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 12 papers in Molecular Biology and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Gunnar Skoglund's work include Pancreatic function and diabetes (14 papers), Diabetes Treatment and Management (6 papers) and Neuropeptides and Animal Physiology (6 papers). Gunnar Skoglund is often cited by papers focused on Pancreatic function and diabetes (14 papers), Diabetes Treatment and Management (6 papers) and Neuropeptides and Animal Physiology (6 papers). Gunnar Skoglund collaborates with scholars based in Sweden, France and United States. Gunnar Skoglund's co-authors include George G. Holz, Mehboob A. Hussain, Bo Åhrén, Ingmar Lundquist, Marie-Madeleine Loubatières-Mariani, G Rosselin, Jeanne Lainé, Emmanuel Fournier, Nacira Tabti and Bo Ahrén and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Diabetes and Endocrinology.

In The Last Decade

Gunnar Skoglund

22 papers receiving 358 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gunnar Skoglund Sweden 11 237 191 154 97 54 22 366
Claes-Göran Östenson Sweden 11 157 0.7× 216 1.1× 85 0.6× 119 1.2× 59 1.1× 11 394
R M Shepherd United Kingdom 5 343 1.4× 235 1.2× 163 1.1× 55 0.6× 94 1.7× 7 429
M Bersani Italy 8 217 0.9× 154 0.8× 253 1.6× 131 1.4× 32 0.6× 19 437
Chris Partridge United Kingdom 6 344 1.5× 311 1.6× 146 0.9× 100 1.0× 136 2.5× 7 578
Jonathan Rachman United Kingdom 9 237 1.0× 267 1.4× 361 2.3× 60 0.6× 86 1.6× 13 669
Rajiv L. Joshi France 7 259 1.1× 298 1.6× 154 1.0× 33 0.3× 190 3.5× 8 524
Nils J. G. Rorsman United Kingdom 8 276 1.2× 214 1.1× 227 1.5× 65 0.7× 116 2.1× 9 455
T. Yamaguchi Japan 12 315 1.3× 162 0.8× 206 1.3× 115 1.2× 89 1.6× 24 535
Masatoshi Ikeuchi Japan 7 193 0.8× 264 1.4× 63 0.4× 158 1.6× 44 0.8× 13 392
Madina Makhmutova United States 7 109 0.5× 215 1.1× 45 0.3× 42 0.4× 78 1.4× 11 400

Countries citing papers authored by Gunnar Skoglund

Since Specialization
Citations

This map shows the geographic impact of Gunnar Skoglund'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 Gunnar Skoglund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gunnar Skoglund more than expected).

Fields of papers citing papers by Gunnar Skoglund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gunnar Skoglund. 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 Gunnar Skoglund. The network helps show where Gunnar Skoglund may publish in the future.

Co-authorship network of co-authors of Gunnar Skoglund

This figure shows the co-authorship network connecting the top 25 collaborators of Gunnar Skoglund. A scholar is included among the top collaborators of Gunnar Skoglund 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 Gunnar Skoglund. Gunnar Skoglund is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lainé, Jeanne, Gunnar Skoglund, Emmanuel Fournier, & Nacira Tabti. (2018). Development of the excitation-contraction coupling machinery and its relation to myofibrillogenesis in human iPSC-derived skeletal myocytes. Skeletal Muscle. 8(1). 1–1. 15 indexed citations
2.
Skoglund, Gunnar, Jeanne Lainé, Radbod Darabi, et al.. (2014). Physiological and ultrastructural features of human induced pluripotent and embryonic stem cell-derived skeletal myocytes in vitro. Proceedings of the National Academy of Sciences. 111(22). 8275–8280. 32 indexed citations
3.
Rosselin, G, et al.. (2006). Pancreatic β-Cell Receptors and G Proteins Coupled to Adenylyl Cyclase. Annals of the New York Academy of Sciences. 805(1). 122–131. 2 indexed citations
4.
Skoglund, Gunnar, Mehboob A. Hussain, & George G. Holz. (2000). Glucagon-like peptide 1 stimulates insulin gene promoter activity by protein kinase A-independent activation of the rat insulin I gene cAMP response element.. Diabetes. 49(7). 1156–1164. 104 indexed citations
5.
Skoglund, Gunnar, et al.. (1999). Cell-specific localization of G protein alpha-subunits in the islets of Langerhans. Journal of Endocrinology. 162(1). 31–37. 15 indexed citations
7.
Skoglund, Gunnar, R. Gross, Bo Åhrén, & Marie-Madeleine Loubatières-Mariani. (1993). Different mechanisms are involved in neuropeptide Y-induced pancreatic vasoconstriction and inhibition of insulin secretion. European Journal of Pharmacology. 236(1). 69–74. 20 indexed citations
8.
Skoglund, Gunnar, et al.. (1993). Evidence for an influence of the peri-arterial hepatic nerves on basal insulin-secretion in the rat. Journal of the Autonomic Nervous System. 43(1). 37–40. 3 indexed citations
9.
Skoglund, Gunnar, et al.. (1993). Galanin-stimulated high-affinity GTPase activity in plasma membranes from RINm5F cells. Diabetes. 42(1). 74–79. 1 indexed citations
10.
Lindskog, S., Gunnar Skoglund, & Bo Åhrén. (1992). Pancreastatin inhibits insulin secretion from isolated rat islets: studies on its mechanism of action.. PubMed. 19(3). 119–23. 5 indexed citations
11.
12.
Skoglund, Gunnar, Bo Åhrén, & Ingmar Lundquist. (1989). Insulin secretion and islet lysosomal enzyme activities in the mouse. International Journal of Pancreatology. 4(1). 29–40. 1 indexed citations
13.
Åhrén, Bo & Gunnar Skoglund. (1989). Insulin secretion in neonatally streptozotocin-injected mice.. PubMed. 11(4). 185–9. 6 indexed citations
14.
Skoglund, Gunnar, Ingmar Lundquist, & Bo Åhrén. (1988). Selective α2‐adrenoceptor activation by clonidine: effects on45Ca2efflux and insulin secretion from isolated rat islets. Acta Physiologica Scandinavica. 132(3). 289–296. 21 indexed citations
15.
Skoglund, Gunnar, et al.. (1987). α1- and α2-adrenoceptor activation increases plasma glucagon levels in the mouse. European Journal of Pharmacology. 143(1). 83–88. 28 indexed citations
16.
Skoglund, Gunnar, Bo Åhrén, Claus Rerup, Anders Stenström, & Ingmar Lundquist. (1987). Glycogen and glycogen‐hydrolysing lysosomal enzyme activity in mouse liver: effects of fasting, adrenoceptor antagonism and insulin‐induced hypoglycaemia. Acta Physiologica Scandinavica. 131(2). 257–264. 4 indexed citations
17.
Skoglund, Gunnar, Bo Åhrén, & Ingmar Lundquist. (1987). Biochemical determination of islet lysosomal enzyme activities following crinophagy-stimulating treatment with diazoxide in mice.. PubMed. 6(2). 81–4. 10 indexed citations
18.
Skoglund, Gunnar, et al.. (1986). Effects of α1- and α2-Adrenoceptor Stimulation and Blockade on Plasma Insulin Levels in the Mouse. Pancreas. 1(5). 415–420. 33 indexed citations
19.
Skoglund, Gunnar, Bo Åhrén, & Ingmar Lundquist. (1986). Insulin secretion and lysosomal enzyme activities in isolated mouse islets. Effects of glucose, diazoxide and isobutylmethylxanthine.. PubMed. 3(8). 411–5. 3 indexed citations
20.
Holmberg, Jan, Gunnar Skoglund, & Bo Åhrén. (1986). Increased Insulin Secretion in Response to Glucose in Isolated Islets of Langerhans From Bile Duct-Occluded Rats. Pancreas. 1(6). 498–500. 1 indexed citations

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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