Kylie S. Foo

1.8k total citations · 1 hit paper
8 papers, 964 citations indexed

About

Kylie S. Foo is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Nutrition and Dietetics. According to data from OpenAlex, Kylie S. Foo has authored 8 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Endocrine and Autonomic Systems and 3 papers in Nutrition and Dietetics. Recurrent topics in Kylie S. Foo's work include Regulation of Appetite and Obesity (4 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Pluripotent Stem Cells Research (3 papers). Kylie S. Foo is often cited by papers focused on Regulation of Appetite and Obesity (4 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Pluripotent Stem Cells Research (3 papers). Kylie S. Foo collaborates with scholars based in Sweden, Hong Kong and United States. Kylie S. Foo's co-authors include Christian Broberger, Kenneth R. Chien, Hjalmar Brismar, Ran Yang, Alexander Goedel, Hanna Brauner, Claes‐Göran Östenson, Roberto Coppari, Yang Yao and Bradford B. Lowell and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Nature Biotechnology.

In The Last Decade

Kylie S. Foo

8 papers receiving 947 citations

Hit Papers

Unlocking the promise of mRNA therapeutics 2022 2026 2023 2024 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kylie S. Foo Sweden 8 425 408 219 205 128 8 964
Masae Furukawa Japan 18 318 0.7× 332 0.8× 76 0.3× 251 1.2× 63 0.5× 46 1.1k
Joseph A. Cioffi United States 13 237 0.6× 489 1.2× 317 1.4× 250 1.2× 33 0.3× 28 1.2k
Hong Cui United States 14 279 0.7× 178 0.4× 70 0.3× 64 0.3× 125 1.0× 19 624
Yanru Chen China 13 489 1.2× 1.3k 3.3× 986 4.5× 490 2.4× 158 1.2× 49 2.1k
Nick Ling United States 16 322 0.8× 155 0.4× 60 0.3× 190 0.9× 200 1.6× 17 1.1k
Joel Jacobs United States 4 562 1.3× 54 0.1× 128 0.6× 138 0.7× 110 0.9× 4 945
Tamara Papadakis Germany 13 231 0.5× 79 0.2× 347 1.6× 141 0.7× 116 0.9× 17 858
Bernd Püschel Germany 14 488 1.1× 112 0.3× 321 1.5× 115 0.6× 299 2.3× 26 1.1k
Charles L. Zucker United States 23 1.2k 2.8× 91 0.2× 254 1.2× 96 0.5× 867 6.8× 50 1.8k
Shiro Nakamura Japan 15 209 0.5× 113 0.3× 82 0.4× 417 2.0× 154 1.2× 54 795

Countries citing papers authored by Kylie S. Foo

Since Specialization
Citations

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

Fields of papers citing papers by Kylie S. Foo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kylie S. Foo

This figure shows the co-authorship network connecting the top 25 collaborators of Kylie S. Foo. A scholar is included among the top collaborators of Kylie S. 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 Kylie S. Foo. Kylie S. 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.
Yang, Ran, et al.. (2022). Unlocking the promise of mRNA therapeutics. Nature Biotechnology. 40(11). 1586–1600. 350 indexed citations breakdown →
2.
Xu, Jiejia, Chikai Zhou, Kylie S. Foo, et al.. (2020). Genome-wide CRISPR screen identifies ZIC2 as an essential gene that controls the cell fate of early mesodermal precursors to human heart progenitors. Stem Cells. 38(6). 741–755. 19 indexed citations
3.
Foo, Kylie S., Chuen Yan Leung, Xiaojun Lian, et al.. (2018). Human ISL1+ Ventricular Progenitors Self-Assemble into an In Vivo Functional Heart Patch and Preserve Cardiac Function Post Infarction. Molecular Therapy. 26(7). 1644–1659. 35 indexed citations
4.
Soh, Boon-Seng, Shi‐Yan Ng, Hao Wu, et al.. (2016). Endothelin-1 supports clonal derivation and expansion of cardiovascular progenitors derived from human embryonic stem cells. Nature Communications. 7(1). 10774–10774. 18 indexed citations
5.
Foo, Kylie S., Arash Hellysaz, & Christian Broberger. (2014). Expression and colocalization patterns of calbindin-D28k, calretinin and parvalbumin in the rat hypothalamic arcuate nucleus. Journal of Chemical Neuroanatomy. 61-62. 20–32. 13 indexed citations
6.
Pol, Anthony N. van den, Yang Yao, Liying Fu, et al.. (2009). Neuromedin B and Gastrin-Releasing Peptide Excite Arcuate Nucleus Neuropeptide Y Neurons in a Novel Transgenic Mouse Expressing StrongRenillaGreen Fluorescent Protein in NPY Neurons. Journal of Neuroscience. 29(14). 4622–4639. 186 indexed citations
7.
Foo, Kylie S., Hanna Brauner, Claes‐Göran Östenson, & Christian Broberger. (2009). Nucleobindin-2/nesfatin in the endocrine pancreas: distribution and relationship to glycaemic state. Journal of Endocrinology. 204(3). 255–263. 125 indexed citations
8.
Foo, Kylie S., Hjalmar Brismar, & Christian Broberger. (2008). Distribution and neuropeptide coexistence of nucleobindin-2 mRNA/nesfatin-like immunoreactivity in the rat CNS. Neuroscience. 156(3). 563–579. 218 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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