Yulan Piao

5.4k total citations
64 papers, 3.1k citations indexed

About

Yulan Piao is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Yulan Piao has authored 64 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 12 papers in Genetics and 10 papers in Physiology. Recurrent topics in Yulan Piao's work include CRISPR and Genetic Engineering (18 papers), Pluripotent Stem Cells Research (16 papers) and Animal Genetics and Reproduction (9 papers). Yulan Piao is often cited by papers focused on CRISPR and Genetic Engineering (18 papers), Pluripotent Stem Cells Research (16 papers) and Animal Genetics and Reproduction (9 papers). Yulan Piao collaborates with scholars based in United States, Japan and Russia. Yulan Piao's co-authors include Minoru S.H. Ko, Myriam Gorospe, Alexei A. Sharov, Supriyo De, Rachel Munk, Chang‐Yi Cui, Kotb Abdelmohsen, David Schlessinger, Lioudmila V. Sharova and Dawood B. Dudekula and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Yulan Piao

61 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yulan Piao United States 31 2.4k 499 446 325 312 64 3.1k
Xianmin Zeng United States 40 3.9k 1.6× 427 0.9× 549 1.2× 350 1.1× 400 1.3× 98 5.0k
Christophe Poirier United States 24 1.2k 0.5× 264 0.5× 454 1.0× 229 0.7× 235 0.8× 56 2.1k
Rehannah Borup Denmark 34 2.2k 0.9× 564 1.1× 340 0.8× 548 1.7× 469 1.5× 67 3.7k
Yonglun Luo Denmark 28 2.1k 0.9× 441 0.9× 205 0.5× 295 0.9× 406 1.3× 107 3.1k
Regina Grillari‐Voglauer Austria 27 1.8k 0.7× 666 1.3× 344 0.8× 213 0.7× 169 0.5× 56 2.5k
Astrid Gillich United Kingdom 17 1.6k 0.7× 235 0.5× 321 0.7× 275 0.8× 192 0.6× 19 2.5k
George A. Garinis Greece 32 2.6k 1.1× 539 1.1× 720 1.6× 501 1.5× 474 1.5× 63 3.8k
Jing‐Wei Xiong China 26 2.1k 0.9× 335 0.7× 215 0.5× 252 0.8× 320 1.0× 89 2.9k
Francesco Neri Italy 24 2.4k 1.0× 547 1.1× 196 0.4× 215 0.7× 284 0.9× 63 2.9k
Javier Rodríguez‐Ubreva Spain 27 2.3k 1.0× 397 0.8× 775 1.7× 681 2.1× 213 0.7× 50 3.5k

Countries citing papers authored by Yulan Piao

Since Specialization
Citations

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

Fields of papers citing papers by Yulan Piao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulan Piao

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

All Works

20 of 20 papers shown
1.
Ji, Eunbyul, Poonam R. Pandey, Jennifer L. Martindale, et al.. (2024). FUS-Mediated Inhibition of Myogenesis Elicited by Suppressing TNNT1 Production. Molecular and Cellular Biology. 44(9). 391–409.
2.
Rossi, Martina, Nirad Banskota, Chang Hoon Shin, et al.. (2024). Increased PTCHD4 expression via m6A modification of PTCHD4 mRNA promotes senescent cell survival. Nucleic Acids Research. 52(12). 7261–7278. 10 indexed citations
3.
Abdelmohsen, Kotb, Rachel Munk, Dimitrios Tsitsipatis, et al.. (2024). Identification of senescent cell subpopulations by CITE‐seq analysis. Aging Cell. 23(11). e14297–e14297. 6 indexed citations
4.
Rossi, Martina, Carlos Anerillas, Dimitrios Tsitsipatis, et al.. (2023). Single-cell transcriptomic analysis uncovers diverse and dynamic senescent cell populations. Aging. 15(8). 2824–2851. 26 indexed citations
5.
Cui, Chang‐Yi, Krystyna Mazan-Mamczarz, Christopher Dunn, et al.. (2022). Single-cell analysis of skeletal muscle macrophages reveals age-associated functional subpopulations. eLife. 11. 64 indexed citations
6.
Tsitsipatis, Dimitrios, Yulan Piao, Marc Michel, et al.. (2022). Improved Macrophage Enrichment from Mouse Skeletal Muscle. BIO-PROTOCOL. 12(23). 4 indexed citations
7.
Munk, Rachel, Kyoung Mi Kim, Yulan Piao, et al.. (2019). Transcriptome signature of cellular senescence. Nucleic Acids Research. 47(14). 7294–7305. 243 indexed citations
8.
Cui, Chang‐Yi, et al.. (2016). Foxc1 Ablated Mice Are Anhidrotic and Recapitulate Features of Human Miliaria Sweat Retention Disorder. Journal of Investigative Dermatology. 137(1). 38–45. 7 indexed citations
9.
Noh, Ji Heon, Kyoung Mi Kim, Kotb Abdelmohsen, et al.. (2016). HuR and GRSF1 modulate the nuclear export and mitochondrial localization of the lncRNARMRP. Genes & Development. 30(10). 1224–1239. 183 indexed citations
10.
Amano, Tomokazu, Tetsuya Hirata, Geppino Falco, et al.. (2013). Zscan4 restores the developmental potency of embryonic stem cells. Nature Communications. 4(1). 1966–1966. 87 indexed citations
11.
States, J. Christopher, Amar V. Singh, Thomas B. Knudsen, et al.. (2012). Prenatal Arsenic Exposure Alters Gene Expression in the Adult Liver to a Proinflammatory State Contributing to Accelerated Atherosclerosis. PLoS ONE. 7(6). e38713–e38713. 52 indexed citations
12.
Cui, Chang‐Yi, Yulan Piao, Marc Michel, et al.. (2012). Forkhead transcription factor FoxA1 regulates sweat secretion through Bestrophin 2 anion channel and Na-K-Cl cotransporter 1. Proceedings of the National Academy of Sciences. 109(4). 1199–1203. 62 indexed citations
13.
Correa-Cerro, Lina S., Yulan Piao, Alexei A. Sharov, et al.. (2011). Generation of mouse ES cell lines engineered for the forced induction of transcription factors. Scientific Reports. 1(1). 167–167. 38 indexed citations
14.
Kunisada, Makoto, Chang‐Yi Cui, Yulan Piao, Minoru S.H. Ko, & David Schlessinger. (2009). Requirement for Shh and Fox family genes at different stages in sweat gland development. Human Molecular Genetics. 18(10). 1769–1778. 34 indexed citations
15.
Sharov, Alexei A., Geppino Falco, Yulan Piao, et al.. (2008). Effects of aging and calorie restriction on the global gene expression profiles of mouse testis and ovary. BMC Biology. 6(1). 24–24. 57 indexed citations
16.
Ulloa‐Montoya, Fernando, Benjamin L. Kidder, Karen Pauwelyn, et al.. (2007). Comparative transcriptome analysis of embryonic and adult stem cells with extended and limited differentiation capacity. Genome biology. 8(8). R163–R163. 105 indexed citations
17.
Carter, Mark G., Yulan Piao, Dawood B. Dudekula, et al.. (2003). The NIA cDNA Project in mouse stem cells and early embryos. Comptes Rendus Biologies. 326(10-11). 931–940. 11 indexed citations
18.
VanBuren, Vincent, Yulan Piao, Dawood B. Dudekula, et al.. (2002). Assembly, Verification, and Initial Annotation of the NIA Mouse 7.4K cDNA Clone Set. Genome Research. 12(12). 1999–2003. 39 indexed citations
19.
20.
Cui, Chang‐Yi, Yoshinori Aragane, Akira Maeda, et al.. (1999). Bikunin, a Serine Protease Inhibitor, is Present on the Cell Boundary of Epidermis. Journal of Investigative Dermatology. 113(2). 182–188. 13 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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