Sophie Tan

37 total papers · 455 total citations
11 papers, 333 citations indexed

About

Sophie Tan is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Sophie Tan has authored 11 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Physiology. Recurrent topics in Sophie Tan's work include Sphingolipid Metabolism and Signaling (7 papers), Lipid Membrane Structure and Behavior (4 papers) and Adipose Tissue and Metabolism (3 papers). Sophie Tan is often cited by papers focused on Sphingolipid Metabolism and Signaling (7 papers), Lipid Membrane Structure and Behavior (4 papers) and Adipose Tissue and Metabolism (3 papers). Sophie Tan collaborates with scholars based in France, Germany and Poland. Sophie Tan's co-authors include Éric Hajduch, Hervé Le Stunff, Olivier Bourron, Guilhem Bousquet, Philippe Ratajczak, Jean‐Paul Feugeas, Christophe Lebœuf, Anne Janin, Yacir Benomar and C. de Bazelaire and has published in prestigious journals such as Journal of Biological Chemistry, Clinical Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

Sophie Tan

11 papers receiving 327 citations

Author Peers

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

Author						Papers	Cites
Sophie Tan	199	83	61	55	47	11	333
Ewelina Józefczuk	192 1.0×	49 0.6×	46 0.8×	50 0.9×	36 0.8×	12	401
Yanying Xu	170 0.9×	46 0.6×	30 0.5×	33 0.6×	46 1.0×	13	335
Li Xiao	127 0.6×	60 0.7×	55 0.9×	92 1.7×	28 0.6×	15	323
D Fang	218 1.1×	145 1.7×	37 0.6×	34 0.6×	24 0.5×	8	395
Zemou Yu	116 0.6×	28 0.3×	52 0.9×	59 1.1×	31 0.7×	12	304
Eman Rashed	238 1.2×	49 0.6×	38 0.6×	44 0.8×	23 0.5×	21	375
Yun-Hee Bae	180 0.9×	46 0.6×	79 1.3×	87 1.6×	59 1.3×	14	382
Iolanda Santimone	103 0.5×	65 0.8×	72 1.2×	33 0.6×	32 0.7×	13	373
Elisa Bientinesi	115 0.6×	103 1.2×	41 0.7×	66 1.2×	29 0.6×	7	398
Valeria Kaltezioti	232 1.2×	29 0.3×	30 0.5×	114 2.1×	70 1.5×	11	375

Countries citing papers authored by Sophie Tan

Since Specialization

Citations

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

Fields of papers citing papers by Sophie Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sophie Tan

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

All Works

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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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