Shi Yin Foo

2.8k total citations · 1 hit paper
8 papers, 1.9k citations indexed

About

Shi Yin Foo is a scholar working on Molecular Biology, Emergency Medicine and Cancer Research. According to data from OpenAlex, Shi Yin Foo has authored 8 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Emergency Medicine and 3 papers in Cancer Research. Recurrent topics in Shi Yin Foo's work include Heparin-Induced Thrombocytopenia and Thrombosis (2 papers), Immune Response and Inflammation (2 papers) and Heart Failure Treatment and Management (2 papers). Shi Yin Foo is often cited by papers focused on Heparin-Induced Thrombocytopenia and Thrombosis (2 papers), Immune Response and Inflammation (2 papers) and Heart Failure Treatment and Management (2 papers). Shi Yin Foo collaborates with scholars based in United States, Jordan and Germany. Shi Yin Foo's co-authors include Garry P. Nolan, Jennifer K. Grenier, Brent R. Stockwell, Eric S. Lander, David E. Root, David M. Sabatini, Xiaoping Yang, Biao Luo, Dorre A. Grueneberg and Jason Moffat and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Shi Yin Foo

8 papers receiving 1.9k citations

Hit Papers

A Lentiviral RNAi Library for Human and Mouse Genes Appli... 2006 2026 2012 2019 2006 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi Yin Foo United States 8 1.3k 339 283 265 180 8 1.9k
Dawn Maynard United States 16 1.4k 1.1× 233 0.7× 294 1.0× 192 0.7× 185 1.0× 23 2.3k
Florence Schaffner United States 22 1.1k 0.8× 305 0.9× 338 1.2× 270 1.0× 231 1.3× 26 2.1k
Alberto Bavelloni Italy 27 1.5k 1.2× 344 1.0× 247 0.9× 249 0.9× 310 1.7× 77 2.2k
Nozomi Yamaguchi Japan 27 905 0.7× 303 0.9× 377 1.3× 262 1.0× 162 0.9× 71 2.2k
Mirella Belleri Italy 28 1.1k 0.8× 261 0.8× 237 0.8× 350 1.3× 373 2.1× 60 2.0k
Annapaola Andolfo Italy 22 716 0.6× 340 1.0× 220 0.8× 134 0.5× 174 1.0× 49 1.5k
Daniela Coltrini Italy 28 1.3k 1.0× 290 0.9× 270 1.0× 681 2.6× 381 2.1× 52 2.2k
Constantinos M. Mikelis United States 26 1.3k 1.0× 415 1.2× 453 1.6× 297 1.1× 389 2.2× 75 2.2k
Stefan Kammerer Germany 24 1.5k 1.1× 171 0.5× 319 1.1× 157 0.6× 155 0.9× 38 2.0k
Angus J.M. Cameron United Kingdom 23 1.3k 1.0× 165 0.5× 310 1.1× 283 1.1× 346 1.9× 40 2.0k

Countries citing papers authored by Shi Yin Foo

Since Specialization
Citations

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

Fields of papers citing papers by Shi Yin Foo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Yin Foo

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

All Works

8 of 8 papers shown
1.
Lynch, Kim, et al.. (2019). A Phase 1 Randomized Study of Single Intravenous Infusions of the Novel Nitroxyl Donor BMS‐986231 in Healthy Volunteers. The Journal of Clinical Pharmacology. 59(5). 717–730. 14 indexed citations
2.
Tita, Cristina, Edward M. Gilbert, Adrian B. Van Bakel, et al.. (2017). A Phase 2A Dose-Escalation Study of the Safety, Tolerability, Pharmacokinetics and Haemodynamic Effects of BMS-986231 in Hospitalized Patients with Heart Failure with Reduced Ejection Fraction. European Journal of Heart Failure. 19(10). 1321–1332. 41 indexed citations
3.
Ashida, Noboru, Sucharita SenBanerjee, Shohta Kodama, et al.. (2011). IKKβ regulates essential functions of the vascular endothelium through kinase-dependent and -independent pathways. Nature Communications. 2(1). 318–318. 36 indexed citations
4.
Foo, Shi Yin, Eric R. Heller, Joanna J. Wykrzykowska, et al.. (2009). Vascular effects of a low-carbohydrate high-protein diet. Proceedings of the National Academy of Sciences. 106(36). 15418–15423. 123 indexed citations
5.
Everett, Brendan M., Robert W. Yeh, Shi Yin Foo, et al.. (2007). Prevalence of Heparin/Platelet Factor 4 Antibodies Before and After Cardiac Surgery. The Annals of Thoracic Surgery. 83(2). 592–597. 48 indexed citations
6.
Foo, Shi Yin, Brendan M. Everett, Robert W. Yeh, et al.. (2006). Prevalence of heparin-induced thrombocytopenia in patients undergoing cardiac catheterization. American Heart Journal. 152(2). 290.e1–290.e7. 10 indexed citations
7.
Moffat, Jason, Dorre A. Grueneberg, Xiaoping Yang, et al.. (2006). A Lentiviral RNAi Library for Human and Mouse Genes Applied to an Arrayed Viral High-Content Screen. Cell. 124(6). 1283–1298. 1377 indexed citations breakdown →
8.
Foo, Shi Yin & Garry P. Nolan. (1999). NF-κB to the rescue: RELs, apoptosis and cellular transformation. Trends in Genetics. 15(6). 229–235. 246 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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