Saiyong Zhu

9.6k total citations · 3 hit papers
36 papers, 5.2k citations indexed

About

Saiyong Zhu is a scholar working on Molecular Biology, Surgery and Plant Science. According to data from OpenAlex, Saiyong Zhu has authored 36 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 11 papers in Surgery and 6 papers in Plant Science. Recurrent topics in Saiyong Zhu's work include Pluripotent Stem Cells Research (20 papers), CRISPR and Genetic Engineering (14 papers) and Pancreatic function and diabetes (8 papers). Saiyong Zhu is often cited by papers focused on Pluripotent Stem Cells Research (20 papers), CRISPR and Genetic Engineering (14 papers) and Pancreatic function and diabetes (8 papers). Saiyong Zhu collaborates with scholars based in China, United States and Germany. Saiyong Zhu's co-authors include Sheng Ding, Hongyan Zhou, Jin Young Joo, Hans R. Schöler, Tongxiang Lin, Yuan Xu, Stuart A. Lipton, Maria Talantova, Gary Siuzdak and Lingxun Duan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Saiyong Zhu

36 papers receiving 5.1k citations

Hit Papers

Generation of Induced Pluripotent Stem Cells Using Recomb... 2007 2026 2013 2019 2009 2007 2011 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
Saiyong Zhu China 28 4.1k 1.0k 816 572 467 36 5.2k
Miguel Ramalho‐Santos United States 35 6.2k 1.5× 610 0.6× 756 0.9× 340 0.6× 194 0.4× 57 7.4k
Hitoshi Niwa Japan 24 5.9k 1.4× 327 0.3× 736 0.9× 680 1.2× 578 1.2× 36 7.3k
Manching Ku United States 25 7.8k 1.9× 371 0.4× 633 0.8× 484 0.8× 392 0.8× 33 8.8k
Amir Eden Israel 25 4.7k 1.1× 298 0.3× 762 0.9× 518 0.9× 203 0.4× 42 5.5k
April D. Pyle United States 30 3.6k 0.9× 143 0.1× 590 0.7× 546 1.0× 345 0.7× 62 4.5k
Janghwan Kim South Korea 28 2.3k 0.6× 161 0.2× 503 0.6× 603 1.1× 788 1.7× 61 3.5k
Boris Greber Germany 37 4.2k 1.0× 124 0.1× 812 1.0× 806 1.4× 544 1.2× 78 5.0k
Effie Apostolou United States 24 4.0k 1.0× 202 0.2× 400 0.5× 346 0.6× 133 0.3× 45 4.3k
Kathy K. Niakan United Kingdom 27 4.3k 1.1× 115 0.1× 449 0.6× 484 0.8× 323 0.7× 51 5.1k
Lance S. Davidow United States 23 2.8k 0.7× 349 0.3× 454 0.6× 332 0.6× 203 0.4× 37 3.4k

Countries citing papers authored by Saiyong Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Saiyong Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saiyong Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Saiyong Zhu. A scholar is included among the top collaborators of Saiyong Zhu 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 Saiyong Zhu. Saiyong Zhu 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.
Dai, Huiwang, Tong Hu, Saiyong Zhu, Yuejin Zhang, & Wenjun Zhou. (2025). Regulating the Fe-Nx coordination structure of Fe single-atom catalysts for efficient catalytic degradation of methylparaben. Chemical Engineering Journal. 507. 160462–160462. 2 indexed citations
2.
Chen, Minjie, Huile Jin, Miao Chen, et al.. (2025). Scalable and cost-effective nanoscale zero-valent iron preparation by combining ball-milling and H2-reduction of micron Fe2O3: modulating crystal plane and reactivity. Chemical Engineering Journal. 515. 163190–163190. 3 indexed citations
3.
Zhao, Yongzhi, Liping Mao, Lei Zhao, et al.. (2024). Membrane RRM2-positive cells represent a malignant population with cancer stem cell features in intrahepatic cholangiocarcinoma. Journal of Experimental & Clinical Cancer Research. 43(1). 255–255. 1 indexed citations
4.
Lu, Yunkun, Jie Cao, Ziyu Zhou, et al.. (2024). N -acetyltransferase NAT10 controls cell fates via connecting mRNA cytidine acetylation to chromatin signaling. Science Advances. 10(2). eadh9871–eadh9871. 27 indexed citations
5.
Jin, Yan, Yunkun Lu, Lian‐Yu Lin, et al.. (2023). Harnessing endogenous transcription factors directly by small molecules for chemically induced pluripotency inception. Proceedings of the National Academy of Sciences. 120(21). e2215155120–e2215155120. 5 indexed citations
6.
Ma, Xiaojie, Yunkun Lu, Ziyu Zhou, et al.. (2022). Human expandable pancreatic progenitor–derived β cells ameliorate diabetes. Science Advances. 8(8). eabk1826–eabk1826. 34 indexed citations
7.
Ma, Xiaojie, Jie Cao, Ziyu Zhou, et al.. (2022). N6-methyladenosine modification-mediated mRNA metabolism is essential for human pancreatic lineage specification and islet organogenesis. Nature Communications. 13(1). 4148–4148. 14 indexed citations
8.
Zhou, Ziyu, Xiaojie Ma, & Saiyong Zhu. (2020). Recent advances and potential applications of human pluripotent stem cell-derived pancreatic β cells. Acta Biochimica et Biophysica Sinica. 52(7). 708–715. 6 indexed citations
9.
Ma, Xiaojie, Xi Chen, Yan Jin, et al.. (2018). Small molecules promote CRISPR-Cpf1-mediated genome editing in human pluripotent stem cells. Nature Communications. 9(1). 1303–1303. 51 indexed citations
10.
Xu, Tao, Kelly M. Stewart, Xiaohu Wang, et al.. (2017). Metabolic control of TH17 and induced Treg cell balance by an epigenetic mechanism. Nature. 548(7666). 228–233. 265 indexed citations
11.
Ma, Xiaojie, Linghao Kong, & Saiyong Zhu. (2017). Reprogramming cell fates by small molecules. Protein & Cell. 8(5). 328–348. 71 indexed citations
12.
Zhu, Saiyong, Milad Rezvani, Jack W. Harbell, et al.. (2014). Mouse liver repopulation with hepatocytes generated from human fibroblasts. Nature. 508(7494). 93–97. 199 indexed citations
13.
Li, Ke, Saiyong Zhu, Holger A. Russ, et al.. (2014). Small Molecules Facilitate the Reprogramming of Mouse Fibroblasts into Pancreatic Lineages. Cell stem cell. 14(2). 228–236. 94 indexed citations
14.
Li, Yán, Lingli Li, Renchun Fan, et al.. (2012). Arabidopsis Sucrose Transporter SUT4 Interacts with Cytochrome b5-2 to Regulate Seed Germination in Response to Sucrose and Glucose. Molecular Plant. 5(5). 1029–1041. 54 indexed citations
15.
Zhu, Saiyong, Wanguo Wei, & Sheng Ding. (2011). Chemical Strategies for Stem Cell Biology and Regenerative Medicine. Annual Review of Biomedical Engineering. 13(1). 73–90. 50 indexed citations
16.
Li, Wenlin, Wei Wei, Saiyong Zhu, et al.. (2009). Generation of Rat and Human Induced Pluripotent Stem Cells by Combining Genetic Reprogramming and Chemical Inhibitors. Cell stem cell. 4(4). 370–370. 33 indexed citations
17.
Zhou, Hongyan, Shili Wu, Jin Young Joo, et al.. (2009). Generation of Induced Pluripotent Stem Cells Using Recombinant Proteins. Cell stem cell. 4(6). 581–581. 91 indexed citations
18.
Zhu, Saiyong, Xiangchun Yu, Xiaojing Wang, et al.. (2007). Two Calcium-Dependent Protein Kinases, CPK4 and CPK11, Regulate Abscisic Acid Signal Transduction inArabidopsis. The Plant Cell. 19(10). 3019–3036. 497 indexed citations breakdown →
20.
Shen, Yuanyue, Xiaofang Wang, Fuqing Wu, et al.. (2006). The Mg-chelatase H subunit is an abscisic acid receptor. Nature. 443(7113). 823–826. 399 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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