Cecilia Frej

479 total citations
7 papers, 311 citations indexed

About

Cecilia Frej is a scholar working on Molecular Biology, Surgery and Cell Biology. According to data from OpenAlex, Cecilia Frej has authored 7 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Cell Biology. Recurrent topics in Cecilia Frej's work include Sphingolipid Metabolism and Signaling (6 papers), Lipid Membrane Structure and Behavior (2 papers) and Endoplasmic Reticulum Stress and Disease (1 paper). Cecilia Frej is often cited by papers focused on Sphingolipid Metabolism and Signaling (6 papers), Lipid Membrane Structure and Behavior (2 papers) and Endoplasmic Reticulum Stress and Disease (1 paper). Cecilia Frej collaborates with scholars based in Sweden, United States and Switzerland. Cecilia Frej's co-authors include Björn Dahlbäck, Mario Ruiz, Sinh Tran, Kaisa E. Happonen, Fletcher B. Taylor, Adam Linder, Florea Lupu, Benny Larsson, Anders Andersson and Eva Norström and has published in prestigious journals such as Arteriosclerosis Thrombosis and Vascular Biology, Journal of Lipid Research and Analytical and Bioanalytical Chemistry.

In The Last Decade

Cecilia Frej

7 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cecilia Frej Sweden	6	196	68	66	52	45	7	311
Xinxin Pang China	13	145 0.7×	53 0.8×	34 0.5×	38 0.7×	21 0.5×	19	333
Dilare Adi China	12	135 0.7×	99 1.5×	31 0.5×	49 0.9×	85 1.9×	46	416
Stela Z. Berisha United States	8	104 0.5×	147 2.2×	26 0.4×	77 1.5×	86 1.9×	11	342
Hitoshi Omi Japan	10	92 0.5×	61 0.9×	20 0.3×	95 1.8×	49 1.1×	12	339
Marina Sokolova Norway	6	165 0.8×	73 1.1×	12 0.2×	63 1.2×	29 0.6×	11	286
Alton G. Sutter United States	9	187 1.0×	78 1.1×	46 0.7×	27 0.5×	38 0.8×	13	333
Gyu Won Jeong South Korea	9	127 0.6×	20 0.3×	42 0.6×	50 1.0×	35 0.8×	10	291
Zoltán Hendrik Hungary	12	132 0.7×	28 0.4×	39 0.6×	44 0.8×	9 0.2×	18	331
Hisayo Fujita Japan	9	221 1.1×	39 0.6×	23 0.3×	23 0.4×	37 0.8×	18	442

Countries citing papers authored by Cecilia Frej

Since Specialization

Citations

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

Fields of papers citing papers by Cecilia Frej

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cecilia Frej

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

All Works

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7 of 7 papers shown

Liu, Mingxia, Cecilia Frej, Carl D. Langefeld, et al.. (2019). Plasma apoM and S1P levels are inversely associated with mortality in African Americans with type 2 diabetes mellitus. Journal of Lipid Research. 60(8). 1425–1431. 19 indexed citations

Frej, Cecilia, Armando J. Mendez, Mario Ruiz, et al.. (2017). A Shift in ApoM/S1P Between HDL-Particles in Women With Type 1 Diabetes Mellitus Is Associated With Impaired Anti-Inflammatory Effects of the ApoM/S1P Complex. Arteriosclerosis Thrombosis and Vascular Biology. 37(6). 1194–1205. 44 indexed citations

Brinck, Jonas, Aurélien Thomas, Marie‐Claude Brulhart‐Meynet, et al.. (2017). High‐density lipoprotein from end‐stage renal disease patients exhibits superior cardioprotection and increase in sphingosine‐1‐phosphate. European Journal of Clinical Investigation. 48(2). 25 indexed citations

Frej, Cecilia, Adam Linder, Kaisa E. Happonen, et al.. (2016). Sphingosine 1‐phosphate and its carrier apolipoprotein M in human sepsis and in Escherichia coli sepsis in baboons. Journal of Cellular and Molecular Medicine. 20(6). 1170–1181. 51 indexed citations

Ruiz, Mario, et al.. (2016). High-Density Lipoprotein–Associated Apolipoprotein M Limits Endothelial Inflammation by Delivering Sphingosine-1-Phosphate to the Sphingosine-1-Phosphate Receptor 1. Arteriosclerosis Thrombosis and Vascular Biology. 37(1). 118–129. 125 indexed citations

Javaheri, Ali, Swapnil V. Shewale, Cecilia Frej, et al.. (2016). Apolipoprotein M Improves Survival in Congestive Heart Failure via Enhanced Akt Signaling. Journal of Cardiac Failure. 22(8). S1–S1. 2 indexed citations

Frej, Cecilia, Anders Andersson, Benny Larsson, et al.. (2015). Quantification of sphingosine 1-phosphate by validated LC-MS/MS method revealing strong correlation with apolipoprotein M in plasma but not in serum due to platelet activation during blood coagulation. Analytical and Bioanalytical Chemistry. 407(28). 8533–8542. 45 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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