Sara Fröjdö

1.2k total citations
9 papers, 858 citations indexed

About

Sara Fröjdö is a scholar working on Geriatrics and Gerontology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Sara Fröjdö has authored 9 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Geriatrics and Gerontology, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Physiology. Recurrent topics in Sara Fröjdö's work include Sirtuins and Resveratrol in Medicine (4 papers), Adipose Tissue and Metabolism (3 papers) and Diabetes Treatment and Management (2 papers). Sara Fröjdö is often cited by papers focused on Sirtuins and Resveratrol in Medicine (4 papers), Adipose Tissue and Metabolism (3 papers) and Diabetes Treatment and Management (2 papers). Sara Fröjdö collaborates with scholars based in France, Australia and Finland. Sara Fröjdö's co-authors include Luciano Pirola, Hubert Vidal, D. Cozzone, Christine Durand, Bronwyn A. Kingwell, Andrew L. Carey, Mark A. Febbraio, Laurent Molin, Emmanuel Disse and Florence Solari and has published in prestigious journals such as Diabetes, Biochemical Journal and Kidney International.

In The Last Decade

Sara Fröjdö

9 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sara Fröjdö France	9	395	308	245	136	97	9	858
Yanhao He China	19	387 1.0×	174 0.6×	109 0.4×	131 1.0×	40 0.4×	23	811
Liz M. Garcia‐Peterson United States	7	337 0.9×	304 1.0×	141 0.6×	165 1.2×	28 0.3×	7	810
Yavuz Taga Türkiye	11	241 0.6×	178 0.6×	109 0.4×	66 0.5×	68 0.7×	17	704
Diptarka Ray United States	13	353 0.9×	224 0.7×	124 0.5×	207 1.5×	19 0.2×	15	754
Carrie-Lynn M. Soltys Canada	15	864 2.2×	292 0.9×	399 1.6×	163 1.2×	115 1.2×	21	1.3k
Mi‐Hua Liu China	20	403 1.0×	131 0.4×	140 0.6×	188 1.4×	29 0.3×	31	1.0k
Adi Y. Berman United States	8	347 0.9×	244 0.8×	124 0.5×	94 0.7×	42 0.4×	8	791
Xiaopei Cui China	15	595 1.5×	107 0.3×	207 0.8×	108 0.8×	103 1.1×	43	1.2k
Stephen Marmor United States	6	429 1.1×	416 1.4×	550 2.2×	454 3.3×	234 2.4×	6	1.2k
Md. Kaimul Ahsan United States	14	468 1.2×	124 0.4×	106 0.4×	196 1.4×	17 0.2×	21	841

Countries citing papers authored by Sara Fröjdö

Since Specialization

Citations

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

Fields of papers citing papers by Sara Fröjdö

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Fröjdö

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

All Works

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9 of 9 papers shown

Fröjdö, Sara, Christine Durand, Laurent Molin, et al.. (2011). Phosphoinositide 3-kinase as a novel functional target for the regulation of the insulin signaling pathway by SIRT1. Molecular and Cellular Endocrinology. 335(2). 166–176. 107 indexed citations

Kaunisto, Mari, Riitta Sallinen, Kim Pettersson-Fernholm, et al.. (2009). Elevated MBL Concentrations Are Not an Indication of Association Between the MBL2 Gene and Type 1 Diabetes or Diabetic Nephropathy. Diabetes. 58(7). 1710–1714. 29 indexed citations

Fröjdö, Sara, Hubert Vidal, & Luciano Pirola. (2008). Alterations of insulin signaling in type 2 diabetes: A review of the current evidence from humans. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1792(2). 83–92. 158 indexed citations

Pirola, Luciano & Sara Fröjdö. (2008). Resveratrol: One molecule, many targets. IUBMB Life. 60(5). 323–332. 269 indexed citations

Fröjdö, Sara, Christine Durand, & Luciano Pirola. (2008). Metabolic Effects of Resveratrol in Mammals - a Link Between Improved Insulin Action and Aging. Current Aging Science. 1(3). 145–151. 30 indexed citations

Cozzone, D., Sara Fröjdö, Emmanuel Disse, et al.. (2008). Isoform-specific defects of insulin stimulation of Akt/protein kinase B (PKB) in skeletal muscle cells from type 2 diabetic patients. Diabetologia. 51(3). 512–521. 76 indexed citations

Fröjdö, Sara, D. Cozzone, Hubert Vidal, & Luciano Pirola. (2007). Resveratrol is a class IA phosphoinositide 3-kinase inhibitor. Biochemical Journal. 406(3). 511–518. 137 indexed citations

Pettersson-Fernholm, Kim, Sara Fröjdö, Johan Fagerudd, et al.. (2006). The AT2 gene may have a gender-specific effect on kidney function and pulse pressure in type I diabetic patients. Kidney International. 69(10). 1880–1884. 24 indexed citations

Fröjdö, Sara, Maija Parkkonen, Ville‐Petteri Mäkinen, et al.. (2005). Polymorphisms in the gene encoding angiotensin I converting enzyme 2 and diabetic nephropathy. Diabetologia. 48(11). 2278–2281. 28 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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