Åsa Larefalk

716 total citations
10 papers, 572 citations indexed

About

Åsa Larefalk is a scholar working on Genetics, Immunology and Surgery. According to data from OpenAlex, Åsa Larefalk has authored 10 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 4 papers in Immunology and 3 papers in Surgery. Recurrent topics in Åsa Larefalk's work include Diabetes and associated disorders (4 papers), Immune Cell Function and Interaction (3 papers) and Pancreatic function and diabetes (3 papers). Åsa Larefalk is often cited by papers focused on Diabetes and associated disorders (4 papers), Immune Cell Function and Interaction (3 papers) and Pancreatic function and diabetes (3 papers). Åsa Larefalk collaborates with scholars based in Sweden, Denmark and Italy. Åsa Larefalk's co-authors include Dan Holmberg, Göran Roos, Petter Lindgren, Katarina Nordfjäll, Karin Gedda, A. Jonas Ekstrand, Hessameh Hassani, Philippe Naveilhan, Ernest Arenas and Josep M. Canals and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and PLoS ONE.

In The Last Decade

Åsa Larefalk

10 papers receiving 554 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Åsa Larefalk 199 184 150 143 95 10 572
Yoshito Nakajima 125 0.6× 267 1.5× 138 0.9× 140 1.0× 60 0.6× 14 534
Gabriela A. Ferreyra 147 0.7× 283 1.5× 195 1.3× 165 1.2× 37 0.4× 25 668
Vladimir Lesnikov 143 0.7× 146 0.8× 149 1.0× 57 0.4× 24 0.3× 30 570
Daniel H. Moralejo 130 0.7× 131 0.7× 216 1.4× 40 0.3× 188 2.0× 41 683
Y.C. Loraine Tung 146 0.7× 173 0.9× 286 1.9× 25 0.2× 90 0.9× 13 621
Philippe Fonjallaz 120 0.6× 251 1.4× 127 0.8× 93 0.7× 22 0.2× 8 487
Laura E. Hand 231 1.2× 215 1.2× 98 0.7× 32 0.2× 33 0.3× 8 488
Amanda L. Allred 209 1.1× 225 1.2× 210 1.4× 31 0.2× 76 0.8× 8 583
Gregor K. Fyfe 83 0.4× 57 0.3× 605 4.0× 78 0.5× 48 0.5× 19 773
Daniel J. Trombly 194 1.0× 376 2.0× 284 1.9× 70 0.5× 28 0.3× 11 788

Countries citing papers authored by Åsa Larefalk

Since Specialization
Citations

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

Fields of papers citing papers by Åsa Larefalk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Åsa Larefalk

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

All Works

10 of 10 papers shown
1.
Duarte, Nádia, Julia Nilsson, Marie Lundholm, et al.. (2016). A New Mouse Model That Spontaneously Develops Chronic Liver Inflammation and Fibrosis. PLoS ONE. 11(7). e0159850–e0159850. 10 indexed citations
2.
Schmidt-Christensen, Anja, Erwin Ilegems, Ulf Dahl, et al.. (2013). Imaging dynamics of CD11c+ cells and Foxp3+ cells in progressive autoimmune insulitis in the NOD mouse model of type 1 diabetes. Diabetologia. 56(12). 2669–2678. 24 indexed citations
3.
Alanentalo, Tomas, Andreas Hörnblad, Sofia Mayans, et al.. (2010). Quantification and Three-Dimensional Imaging of the Insulitis-Induced Destruction of β-Cells in Murine Type 1 Diabetes. Diabetes. 59(7). 1756–1764. 72 indexed citations
4.
Norén‐Nyström, Ulrika, et al.. (2010). Fish oil delays lymphoma progression in theTLLmouse. Leukemia & lymphoma. 51(11). 2092–2097. 5 indexed citations
5.
Pawelzik, Sven‐Christian, et al.. (2009). Lymphoblastic T-cell lymphoma in mice is unaffected by Celecoxib as single agent or in combination with cyclophosphamide. Leukemia & lymphoma. 50(7). 1198–1203. 1 indexed citations
6.
Alanentalo, Tomas, Christina E. Lorén, Åsa Larefalk, et al.. (2008). High-resolution three-dimensional imaging of islet-infiltrate interactions based on optical projection tomography assessments of the intact adult mouse pancreas. Journal of Biomedical Optics. 13(5). 1–1. 45 indexed citations
7.
Eriksson, Maria, et al.. (2006). Germ line insertions of moloney murine leukemia virus in the TLL mouse causes site-specific differences in lymphoma/leukemia frequency and tumor immunophenotype.. PubMed. 26(4B). 2873–8. 2 indexed citations
8.
Nordfjäll, Katarina, Åsa Larefalk, Petter Lindgren, Dan Holmberg, & Göran Roos. (2005). Telomere length and heredity: Indications of paternal inheritance. Proceedings of the National Academy of Sciences. 102(45). 16374–16378. 161 indexed citations
9.
Marklund, Ulrica, Mona Byström, Karin Gedda, et al.. (2002). Intron-mediated expression of the human neuropeptide Y Y1 receptor. Molecular and Cellular Endocrinology. 188(1-2). 85–97. 30 indexed citations
10.
Naveilhan, Philippe, Hessameh Hassani, Josep M. Canals, et al.. (1999). Normal feeding behavior, body weight and leptin response require the neuropeptide Y Y2 receptor. Nature Medicine. 5(10). 1188–1193. 222 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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