Yu‐Lee Paul

1.0k total citations
9 papers, 727 citations indexed

About

Yu‐Lee Paul is a scholar working on Molecular Biology, Genetics and Developmental Neuroscience. According to data from OpenAlex, Yu‐Lee Paul has authored 9 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Developmental Neuroscience. Recurrent topics in Yu‐Lee Paul's work include Epigenetics and DNA Methylation (6 papers), Pluripotent Stem Cells Research (3 papers) and Developmental Biology and Gene Regulation (3 papers). Yu‐Lee Paul is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Pluripotent Stem Cells Research (3 papers) and Developmental Biology and Gene Regulation (3 papers). Yu‐Lee Paul collaborates with scholars based in United Kingdom, Germany and Italy. Yu‐Lee Paul's co-authors include Wolf Reik, Gabriella Ficz, Felix Krueger, Simon J. Cook, Julia Arand, Jörn Walter, Fátima Santos, Heather Lee, David Oxley and Wendy Dean and has published in prestigious journals such as Cell stem cell, Developmental Biology and International Journal of Epidemiology.

In The Last Decade

Yu‐Lee Paul

9 papers receiving 720 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu‐Lee Paul United Kingdom 8 639 145 108 72 37 9 727
Stephanie A. Tammen United States 10 367 0.6× 95 0.7× 74 0.7× 23 0.3× 20 0.5× 17 580
Jaysen Knezovich Australia 3 559 0.9× 111 0.8× 190 1.8× 9 0.1× 29 0.8× 6 639
Emil V. R. Appel Denmark 8 282 0.4× 119 0.8× 159 1.5× 22 0.3× 74 2.0× 14 532
Saara Marttila Finland 15 533 0.8× 130 0.9× 143 1.3× 37 0.5× 40 1.1× 38 809
Melissa C. Lutterodt Denmark 13 208 0.3× 97 0.7× 114 1.1× 36 0.5× 198 5.4× 19 521
Delanie B. Macedo Brazil 15 374 0.6× 354 2.4× 88 0.8× 15 0.2× 80 2.2× 22 723
M. Shimabukuro Japan 4 385 0.6× 146 1.0× 105 1.0× 24 0.3× 7 0.2× 6 461
Sasha Howard United Kingdom 15 312 0.5× 234 1.6× 64 0.6× 14 0.2× 94 2.5× 42 709
Shan V. Andrews United States 7 302 0.5× 138 1.0× 145 1.3× 66 0.9× 16 0.4× 8 457
Shilpa Pathak India 10 194 0.3× 158 1.1× 93 0.9× 52 0.7× 117 3.2× 22 439

Countries citing papers authored by Yu‐Lee Paul

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Lee Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Lee Paul. 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 Yu‐Lee Paul. The network helps show where Yu‐Lee Paul may publish in the future.

Co-authorship network of co-authors of Yu‐Lee Paul

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Lee Paul. A scholar is included among the top collaborators of Yu‐Lee Paul 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 Yu‐Lee Paul. Yu‐Lee Paul 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.
Lupo, Giuseppe, Pilar Esteve, Yu‐Lee Paul, et al.. (2018). Molecular profiling of aged neural progenitors identifies Dbx2 as a candidate regulator of age‐associated neurogenic decline. Aging Cell. 17(3). e12745–e12745. 28 indexed citations
2.
Carucci, Nicoletta, Emanuele Cacci, Valerio Licursi, et al.. (2017). Transcriptional response of Hoxb genes to retinoid signalling is regionally restricted along the neural tube rostrocaudal axis. Royal Society Open Science. 4(4). 160913–160913. 8 indexed citations
3.
Relton, Caroline L., Tom R. Gaunt, Wendy L. McArdle, et al.. (2015). Data Resource Profile: Accessible Resource for Integrated Epigenomic Studies (ARIES). International Journal of Epidemiology. 44(4). 1181–1190. 180 indexed citations
4.
Gaunt, Stephen J. & Yu‐Lee Paul. (2014). Synergistic action in P19 pluripotential cells of retinoic acid and Wnt3a on Cdx1 enhancer elements. The International Journal of Developmental Biology. 58(5). 307–314. 4 indexed citations
5.
Ficz, Gabriella, Timothy A. Hore, Fátima Santos, et al.. (2013). FGF signalling inhibition in ESCs drives rapid genome-wide demethylation to the epigenetic ground state of pluripotency. Clinical Epigenetics. 5(S1). 154 indexed citations
6.
Ficz, Gabriella, Timothy A. Hore, Fátima Santos, et al.. (2013). FGF Signaling Inhibition in ESCs Drives Rapid Genome-wide Demethylation to the Epigenetic Ground State of Pluripotency. Cell stem cell. 13(3). 351–359. 301 indexed citations
7.
Gaunt, Stephen J., Martin A. George, & Yu‐Lee Paul. (2013). Direct activation of a mouse Hoxd11 axial expression enhancer by Gdf11/Smad signalling. Developmental Biology. 383(1). 52–60. 29 indexed citations
8.
Gaunt, Stephen J. & Yu‐Lee Paul. (2012). Changes in Cis-regulatory Elements during Morphological Evolution. Biology. 1(3). 557–574. 13 indexed citations
9.
Gaunt, Stephen J. & Yu‐Lee Paul. (2011). Origins of Cdx1 regulatory elements suggest roles in vertebrate evolution. The International Journal of Developmental Biology. 55(1). 93–98. 10 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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