Ren‐He Xu

5.6k total citations · 2 hit papers
60 papers, 4.2k citations indexed

About

Ren‐He Xu is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Ren‐He Xu has authored 60 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 20 papers in Genetics and 15 papers in Surgery. Recurrent topics in Ren‐He Xu's work include Pluripotent Stem Cells Research (30 papers), Mesenchymal stem cell research (19 papers) and Tissue Engineering and Regenerative Medicine (13 papers). Ren‐He Xu is often cited by papers focused on Pluripotent Stem Cells Research (30 papers), Mesenchymal stem cell research (19 papers) and Tissue Engineering and Regenerative Medicine (13 papers). Ren‐He Xu collaborates with scholars based in United States, Macao and China. Ren‐He Xu's co-authors include James A. Thomson, Tenneille E. Ludwig, Xuezhu Feng, Rui Li, Gregory C. Addicks, Xin Chen, Thomas P. Zwaka, Kristen Martins‐Taylor, Yan Li and Sierra H. Root and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Ren‐He Xu

58 papers receiving 4.1k citations

Hit Papers

BMP4 initiates human embryonic stem cell differentiation ... 2002 2026 2010 2018 2002 2005 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ren‐He Xu United States 28 3.3k 875 777 717 362 60 4.2k
Rita C. R. Perlingeiro United States 34 3.5k 1.0× 1.3k 1.5× 977 1.3× 507 0.7× 364 1.0× 94 4.3k
Takumi Era Japan 35 3.0k 0.9× 829 0.9× 591 0.8× 330 0.5× 482 1.3× 91 4.4k
Jonathan S. Draper Canada 21 3.8k 1.1× 824 0.9× 337 0.4× 720 1.0× 588 1.6× 31 4.4k
Ofra Yanuka Israel 22 3.6k 1.1× 1.0k 1.2× 405 0.5× 847 1.2× 727 2.0× 34 4.2k
Peggy E. Kraft United States 17 2.6k 0.8× 1.1k 1.3× 660 0.8× 845 1.2× 302 0.8× 25 3.9k
Daylon James United States 19 2.4k 0.7× 783 0.9× 400 0.5× 450 0.6× 251 0.7× 40 3.9k
David L. Mack United States 25 2.5k 0.8× 745 0.9× 274 0.4× 918 1.3× 375 1.0× 58 3.7k
Chui‐Yee Fong Singapore 31 3.9k 1.2× 1.7k 1.9× 1.6k 2.0× 1.1k 1.6× 423 1.2× 64 5.7k
Akiko Yabuuchi United States 28 3.9k 1.2× 625 0.7× 360 0.5× 388 0.5× 608 1.7× 55 5.0k
M. Belicchi Italy 24 1.9k 0.6× 1.0k 1.2× 1.1k 1.4× 334 0.5× 205 0.6× 53 2.7k

Countries citing papers authored by Ren‐He Xu

Since Specialization
Citations

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

Fields of papers citing papers by Ren‐He Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ren‐He Xu. 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 Ren‐He Xu. The network helps show where Ren‐He Xu may publish in the future.

Co-authorship network of co-authors of Ren‐He Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Ren‐He Xu. A scholar is included among the top collaborators of Ren‐He Xu 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 Ren‐He Xu. Ren‐He Xu 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.
Huang, Jiandong, et al.. (2025). Advances and Challenges in Pluripotent Stem Cell‐Based Whole‐Cell Vaccines for Cancer Treatment. 1(1). 60–76. 1 indexed citations
2.
Wang, Wei, et al.. (2025). Off-Target Interactions of Vancomycin with Vascular Wall Involving Elastin-Induced Self-Assembly. Analytical Chemistry. 97(13). 7107–7117.
3.
Yang, Hongmei, Jia Hao, Qibing Zeng, et al.. (2024). Mesenchymal Stromal Cells Increase the Natural Killer Resistance of Circulating Tumor Cells via Intercellular Signaling of cGAS‐STING‐IFNβ‐HLA. Advanced Science. 11(21). e2400888–e2400888. 10 indexed citations
4.
Ye, Yi, Xia Xiao, Lingling Hu, et al.. (2023). Definitive Endodermal Cells Supply an in vitro Source of Mesenchymal Stem/Stromal Cells. Communications Biology. 6(1). 476–476. 7 indexed citations
5.
Fu, Siyi, Yanan Hao, Xin Zhang, et al.. (2023). Developmental potency of human ES cell-derived mesenchymal stem cells revealed in mouse embryos following blastocyst injection. Cell Reports. 42(12). 113459–113459. 2 indexed citations
6.
Guo, Ling, Xiaoxiao Wang, Xiaobing Fu, et al.. (2019). TSA restores hair follicle-inductive capacity of skin-derived precursors. Scientific Reports. 9(1). 2867–2867. 21 indexed citations
7.
Park, Jung Woo, Juan Yang, & Ren‐He Xu. (2018). PAX6 Alternative Splicing and Corneal Development. Stem Cells and Development. 27(6). 367–377. 17 indexed citations
8.
Li, Enqin, Zhenwu Zhang, Bin Jiang, et al.. (2018). Generation of Mesenchymal Stem Cells from Human Embryonic Stem Cells in a Complete Serum-free Condition. International Journal of Biological Sciences. 14(13). 1901–1909. 24 indexed citations
9.
Li, Yan, Dejin Zheng, & Ren‐He Xu. (2018). Critical Role of Tumor Necrosis Factor Signaling in Mesenchymal Stem Cell-Based Therapy for Autoimmune and Inflammatory Diseases. Frontiers in Immunology. 9. 1658–1658. 81 indexed citations
10.
Wang, Hongxuan, Lakhansing Pardeshi, Xiaoming Rong, et al.. (2018). Novel Variants Identified in Multiple Sclerosis Patients From Southern China. Frontiers in Neurology. 9. 582–582. 2 indexed citations
11.
Park, Jung Woo, Yan Li, Xiaofang Wang, et al.. (2017). Recapitulating and Correcting Marfan Syndrome in a Cellular Model. International Journal of Biological Sciences. 13(5). 588–603. 17 indexed citations
12.
Ge, Xianglian, Haitao Xi, Fayu Yang, et al.. (2016). CRISPR/Cas9-AAV Mediated Knock-in at NRL Locus in Human Embryonic Stem Cells. Molecular Therapy — Nucleic Acids. 5(11). e393–e393. 8 indexed citations
13.
14.
Luong, Mai X., Jonathan Auerbach, Jeremy M. Crook, et al.. (2011). A Call for Standardized Naming and Reporting of Human ESC and iPSC Lines. Cell stem cell. 8(4). 357–359. 39 indexed citations
15.
Lin, Ge & Ren‐He Xu. (2010). Progresses and Challenges in Optimization of Human Pluripotent Stem Cell Culture. Current Stem Cell Research & Therapy. 5(3). 207–214. 17 indexed citations
16.
Martins‐Taylor, Kristen & Ren‐He Xu. (2009). Determinants of pluripotency: From avian, rodents, to primates. Journal of Cellular Biochemistry. 109(1). 16–25. 20 indexed citations
17.
Xu, Ren‐He, Xin Chen, Rui Li, et al.. (2002). BMP4 initiates human embryonic stem cell differentiation to trophoblast. Nature Biotechnology. 20(12). 1261–1264. 847 indexed citations breakdown →
18.
Liu, Weidong, Caiping Ren, Xiangling Feng, et al.. (2000). Characterization of the Functionally Related Sites in the Neural Inducing Gene Noggin. Biochemical and Biophysical Research Communications. 270(1). 293–297. 9 indexed citations
19.
Xu, Ren‐He, et al.. (1999). Opposite Effects of FGF and BMP-4 on Embryonic Blood Formation: Roles of PV.1 and GATA-2. Developmental Biology. 208(2). 352–361. 46 indexed citations
20.
Kim, Jaebong, Jih‐Jing Lin, Ren‐He Xu, & Hsiang‐Fu Kung. (1998). Mesoderm Induction by Heterodimeric AP-1 (c-Jun and c-Fos) and Its Involvement in Mesoderm Formation through the Embryonic Fibroblast Growth Factor/Xbra Autocatalytic Loop during the Early Development of Xenopus Embryos. Journal of Biological Chemistry. 273(3). 1542–1550. 24 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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