Juat Chin Foo

993 total citations
9 papers, 508 citations indexed

About

Juat Chin Foo is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Juat Chin Foo has authored 9 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Surgery. Recurrent topics in Juat Chin Foo's work include Erythrocyte Function and Pathophysiology (3 papers), Sphingolipid Metabolism and Signaling (3 papers) and Lipid Membrane Structure and Behavior (3 papers). Juat Chin Foo is often cited by papers focused on Erythrocyte Function and Pathophysiology (3 papers), Sphingolipid Metabolism and Signaling (3 papers) and Lipid Membrane Structure and Behavior (3 papers). Juat Chin Foo collaborates with scholars based in Singapore, United States and Sweden. Juat Chin Foo's co-authors include Markus R. Wenk, Amaury Cazenave‐Gassiot, David L. Silver, Long N. Nguyen, Bernice H. Wong, Dwight L.A. Galam, Sujoy Ghosh, Minh Thiet Vu, Federico Torta and Fangyu Zhang and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Juat Chin Foo

9 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juat Chin Foo Singapore 8 352 102 86 69 55 9 508
Reigh-Yi Lin United States 12 469 1.3× 119 1.2× 60 0.7× 42 0.6× 46 0.8× 18 984
Takayo Ohto Japan 5 203 0.6× 56 0.5× 55 0.6× 29 0.4× 50 0.9× 8 403
So Masaki Japan 8 413 1.2× 86 0.8× 93 1.1× 17 0.2× 55 1.0× 12 566
Rita Mozzi Italy 14 301 0.9× 97 1.0× 67 0.8× 68 1.0× 102 1.9× 37 550
Brigham B. Hyde United States 6 635 1.8× 194 1.9× 56 0.7× 78 1.1× 25 0.5× 8 883
Simon Schlanger United States 11 299 0.8× 135 1.3× 77 0.9× 65 0.9× 22 0.4× 16 585
Pontus Larsson Sweden 8 257 0.7× 63 0.6× 45 0.5× 32 0.5× 48 0.9× 10 474
Viola Nordström Germany 12 243 0.7× 135 1.3× 54 0.6× 21 0.3× 20 0.4× 16 462
M. Girós Spain 16 556 1.6× 267 2.6× 64 0.7× 24 0.3× 74 1.3× 40 749
Claire Kitidis United States 6 329 0.9× 138 1.4× 22 0.3× 52 0.8× 58 1.1× 6 510

Countries citing papers authored by Juat Chin Foo

Since Specialization
Citations

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

Fields of papers citing papers by Juat Chin Foo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juat Chin Foo. 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 Juat Chin Foo. The network helps show where Juat Chin Foo may publish in the future.

Co-authorship network of co-authors of Juat Chin Foo

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

All Works

9 of 9 papers shown
1.
Berezhnoy, Nikolay V., Amaury Cazenave‐Gassiot, Liang Gao, et al.. (2022). Transient Complexity of E. coli Lipidome Is Explained by Fatty Acyl Synthesis and Cyclopropanation. Metabolites. 12(9). 784–784. 2 indexed citations
2.
Nguyen, Quoc Toan, Sneha Muralidharan, Minh Thiet Vu, et al.. (2021). Deletion of Mfsd2b impairs thrombotic functions of platelets. Nature Communications. 12(1). 2286–2286. 18 indexed citations
3.
Nguyen, Quoc Toan, Minh Thiet Vu, Sneha Muralidharan, et al.. (2021). Erythrocytes efficiently utilize exogenous sphingosines for S1P synthesis and export via Mfsd2b. Journal of Biological Chemistry. 296. 100201–100201. 19 indexed citations
4.
Ow, Jin Rong, Matias J. Caldez, Juat Chin Foo, et al.. (2020). Remodeling of whole-body lipid metabolism and a diabetic-like phenotype caused by loss of CDK1 and hepatocyte division. eLife. 9. 19 indexed citations
5.
Beppu, Lisa, Ashley V. Menk, Callen T. Wallace, et al.. (2019). The Lysophosphatidylcholine Transporter MFSD2A Is Essential for CD8+ Memory T Cell Maintenance and Secondary Response to Infection. The Journal of Immunology. 203(1). 117–126. 27 indexed citations
6.
Miranda, Diego A., William C. Krause, Amaury Cazenave‐Gassiot, et al.. (2018). LRH-1 regulates hepatic lipid homeostasis and maintains arachidonoyl phospholipid pools critical for phospholipid diversity. JCI Insight. 3(5). 40 indexed citations
7.
Wong, Bernice H., Cheen Fei Chin, Dwight L.A. Galam, et al.. (2018). The lysolipid transporter Mfsd2a regulates lipogenesis in the developing brain. PLoS Biology. 16(8). e2006443–e2006443. 80 indexed citations
8.
Vu, Minh Thiet, Juat Chin Foo, Fangyu Zhang, et al.. (2017). Mfsd2b is essential for the sphingosine-1-phosphate export in erythrocytes and platelets. Nature. 550(7677). 524–528. 182 indexed citations
9.
Wong, Bernice H., Amaury Cazenave‐Gassiot, Juat Chin Foo, et al.. (2016). Mfsd2a Is a Transporter for the Essential ω-3 Fatty Acid Docosahexaenoic Acid (DHA) in Eye and Is Important for Photoreceptor Cell Development. Journal of Biological Chemistry. 291(20). 10501–10514. 121 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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