Peter Strålfors

11.4k total citations
106 papers, 5.9k citations indexed

About

Peter Strålfors is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Peter Strålfors has authored 106 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 38 papers in Physiology and 29 papers in Cell Biology. Recurrent topics in Peter Strålfors's work include Metabolism, Diabetes, and Cancer (41 papers), Adipose Tissue and Metabolism (34 papers) and Lipid metabolism and biosynthesis (29 papers). Peter Strålfors is often cited by papers focused on Metabolism, Diabetes, and Cancer (41 papers), Adipose Tissue and Metabolism (34 papers) and Lipid metabolism and biosynthesis (29 papers). Peter Strålfors collaborates with scholars based in Sweden, United Kingdom and Germany. Peter Strålfors's co-authors include Per Belfrage, Margareta Karlsson, Anita Öst, Johanna Gustavsson, Gudrun Fredrikson, Fredrik H. Nyström, Santiago Parpal, Hans Thorn, Philip Cohen and Nils Östen Nilsson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Peter Strålfors

105 papers receiving 5.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Strålfors Sweden 41 3.5k 1.9k 1.7k 1.2k 1.0k 106 5.9k
Petr Ježek Czechia 49 4.8k 1.4× 3.2k 1.7× 793 0.5× 614 0.5× 593 0.6× 214 7.7k
Michel Rigoulet France 39 4.8k 1.4× 1.1k 0.6× 443 0.3× 284 0.2× 578 0.6× 132 6.3k
Howard E. Morgan United States 44 3.1k 0.9× 1.4k 0.8× 1.5k 0.9× 251 0.2× 670 0.6× 128 6.0k
Kimberly K. Buhman United States 33 2.0k 0.6× 950 0.5× 432 0.3× 1.5k 1.3× 1.3k 1.2× 70 4.3k
György Szabadkai Italy 43 7.2k 2.1× 1.3k 0.7× 2.1k 1.2× 209 0.2× 540 0.5× 102 10.4k
Martin Crompton United Kingdom 34 5.6k 1.6× 943 0.5× 498 0.3× 244 0.2× 353 0.3× 52 7.3k
Célio X.C. Santos United Kingdom 32 1.9k 0.5× 1.2k 0.7× 587 0.3× 318 0.3× 337 0.3× 49 4.2k
Valeria Petronilli Italy 49 9.1k 2.6× 1.2k 0.6× 644 0.4× 406 0.3× 471 0.5× 92 11.5k
Yasushi Tamura Japan 45 4.8k 1.4× 952 0.5× 884 0.5× 900 0.8× 655 0.6× 226 8.0k
Donald D. F. Loo United States 49 4.6k 1.3× 595 0.3× 292 0.2× 823 0.7× 1.9k 1.9× 100 7.5k

Countries citing papers authored by Peter Strålfors

Since Specialization
Citations

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

Fields of papers citing papers by Peter Strålfors

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Strålfors

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Strålfors. A scholar is included among the top collaborators of Peter Strålfors 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 Peter Strålfors. Peter Strålfors 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.
Nyman, Elin, et al.. (2014). A Single Mechanism Can Explain Network-wide Insulin Resistance in Adipocytes from Obese Patients with Type 2 Diabetes. Journal of Biological Chemistry. 289(48). 33215–33230. 38 indexed citations
2.
3.
Strålfors, Peter. (2012). Caveolins and Caveolae, Roles in Insulin Signalling and Diabetes. Advances in experimental medicine and biology. 729. 111–126. 50 indexed citations
4.
Nyman, Elin, Cecilia Brännmark, Robert S. Palmer, et al.. (2011). A Hierarchical Whole-body Modeling Approach Elucidates the Link between in Vitro Insulin Signaling and in Vivo Glucose Homeostasis. Journal of Biological Chemistry. 286(29). 26028–26041. 56 indexed citations
5.
Strålfors, Peter, et al.. (2011). Histone Variants and Their Post-Translational Modifications in Primary Human Fat Cells. PLoS ONE. 6(1). e15960–e15960. 29 indexed citations
6.
Brännmark, Cecilia, et al.. (2011). Differential effects of IGF-I, IGF-II and insulin in human preadipocytes and adipocytes – Role of insulin and IGF-I receptors. Molecular and Cellular Endocrinology. 339(1-2). 130–135. 26 indexed citations
7.
Cedersund, Gunnar & Peter Strålfors. (2008). Putting the pieces together in diabetes research: Towards a hierarchical model of whole-body glucose homeostasis. European Journal of Pharmaceutical Sciences. 36(1). 91–104. 23 indexed citations
8.
Franck, Niclas, Karin G. Stenkula, Anita Öst, et al.. (2007). Insulin-induced GLUT4 translocation to the plasma membrane is blunted in large compared with small primary fat cells isolated from the same individual. Diabetologia. 50(8). 1716–1722. 73 indexed citations
9.
Nyström, Fredrik H., et al.. (2006). Phosphorylation of IRS1 at serine 307 and serine 312 in response to insulin in human adipocytes. Biochemical and Biophysical Research Communications. 342(4). 1183–1187. 17 indexed citations
10.
Brynhildsen, Jan, Lotta Lindh‐Åstrand, Johanna Gustavsson, et al.. (2005). Subcutaneous adipocytes from obese hyperinsulinemic women with polycystic ovary syndrome exhibit normal insulin sensitivity but reduced maximal insulin responsiveness. European Journal of Endocrinology. 153(6). 831–835. 15 indexed citations
11.
Vener, Alexander V. & Peter Strålfors. (2005). Vectorial Proteomics. IUBMB Life. 57(6). 433–440. 8 indexed citations
12.
13.
Karlsson, Margareta, Hans Thorn, Anna Danielsson, et al.. (2004). Colocalization of insulin receptor and insulin receptor substrate‐1 to caveolae in primary human adipocytes. European Journal of Biochemistry. 271(12). 2471–2479. 82 indexed citations
14.
Stenkula, Karin G., Margareta Karlsson, Hans Thorn, et al.. (2004). Expression of a mutant IRS inhibits metabolic and mitogenic signalling of insulin in human adipocytes. Molecular and Cellular Endocrinology. 221(1-2). 1–8. 13 indexed citations
15.
Vainonen, Julia P., Nabila Aboulaich, Maria V. Turkina, Peter Strålfors, & Alexander V. Vener. (2004). N-terminal processing and modifications of caveolin-1 in caveolae from human adipocytes. Biochemical and Biophysical Research Communications. 320(2). 480–486. 10 indexed citations
16.
Hermanson, Ola, Johanna Gustavsson, Peter Strålfors, & Anders Blomqvist. (1996). Cytoplasmic CREBα-like Antigens in Specific Regions of the Rat Brain. Biochemical and Biophysical Research Communications. 225(1). 256–262. 6 indexed citations
17.
Gustavsson, Johanna, Santiago Parpal, & Peter Strålfors. (1995). Uptake and Metabolism of Long-Chain 1,2-Diacylglycerols by Rat Adipocytes and H4IIE Hepatoma Cells. Experimental Cell Research. 221(2). 443–447. 2 indexed citations
18.
Cohen, Philip, et al.. (1988). [37] Protein phosphatase-1 and protein phosphatase-2A from rabbit skeletal muscle. Methods in enzymology on CD-ROM/Methods in enzymology. 159. 390–408. 397 indexed citations
19.
Strålfors, Peter. (1988). Adipose tissue protein phosphatase inhibitor‐2. European Journal of Biochemistry. 171(1-2). 199–204. 8 indexed citations
20.
Strålfors, Peter. (1984). Hormonal regulation of hormone-sensitive lipase in intact adipocytes : Identification of phosphorylation by lipolytic hormones and insulin. Proc Natl Acad Sci USA. 81. 3317–3321. 76 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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