Weizhi Ji

8.7k total citations · 1 hit paper
142 papers, 3.7k citations indexed

About

Weizhi Ji is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Weizhi Ji has authored 142 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 36 papers in Public Health, Environmental and Occupational Health and 29 papers in Reproductive Medicine. Recurrent topics in Weizhi Ji's work include Pluripotent Stem Cells Research (51 papers), CRISPR and Genetic Engineering (38 papers) and Reproductive Biology and Fertility (36 papers). Weizhi Ji is often cited by papers focused on Pluripotent Stem Cells Research (51 papers), CRISPR and Genetic Engineering (38 papers) and Reproductive Biology and Fertility (36 papers). Weizhi Ji collaborates with scholars based in China, United States and Germany. Weizhi Ji's co-authors include Yuyu Niu, Qi Zhou, Wei Si, Tianqing Li, Yongchang Chen, Yufang Shi, Guangwen Ren, Yongqing Lu, Yu Kang and Zongyong Ai and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Weizhi Ji

137 papers receiving 3.7k citations

Hit Papers

A developmental landscape of 3D-cultured human pre-gastru... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A developmental landscape of 3D-cultured human pre-gastrulation embryos
    2019 278 citations Lifeng Xiang, Yu Yin et al. profile →

Peers

Weizhi Ji
Styliani Markoulaki United States
Gen Kondoh Japan
Barbara Barboni Italy
Yong‐Mahn Han South Korea
Ting Xie China
Niels Geijsen Netherlands
Miguel Ramalho‐Santos United States
William Poueymirou United States
Kenta Yashiro Japan
Enkui Duan China
Styliani Markoulaki United States
Weizhi Ji
Citations per year, relative to Weizhi Ji Weizhi Ji (= 1×) peers Styliani Markoulaki

Countries citing papers authored by Weizhi Ji

Since Specialization
Citations

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

Fields of papers citing papers by Weizhi Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weizhi Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Weizhi Ji. A scholar is included among the top collaborators of Weizhi Ji 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 Weizhi Ji. Weizhi Ji 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.
Chen, Jiajie, Zhi‐Hao Cao, Xinchun Liu, et al.. (2025). Tumor Microenvironment Metabolism‐Modulating Nanomedicines for Enhancing Anti‐Tumor Immunity. Small. 21(47). e09685–e09685.
2.
Li, Peng, Shu Zhang, Xiaopeng Wang, et al.. (2025). Activation of endogenous full-length utrophin by MyoAAV-UA as a therapeutic approach for Duchenne muscular dystrophy. Nature Communications. 16(1). 2398–2398. 4 indexed citations
3.
Wang, Xu, Siqi Li, Xiangyu Kuang, et al.. (2025). Positional BMP signaling orchestrates villus length in the small intestine. Nature Communications. 16(1). 5461–5461. 1 indexed citations
4.
Yao, Junjun, Shaoxing Dai, Ju Tan, et al.. (2023). Deciphering molecular heterogeneity and dynamics of human hippocampal neural stem cells at different ages and injury states. eLife. 12. 7 indexed citations
5.
Kang, Yu, Shaoxing Dai, Fang Wang, et al.. (2022). Cloning and base editing of GFP transgenic rhesus monkey and off-target analysis. Science Advances. 8(29). eabo3123–eabo3123. 6 indexed citations
6.
Zhu, Xiaoqing, Yicheng Guo, Kui Duan, et al.. (2022). BRN2 as a key gene drives the early primate telencephalon development. Science Advances. 8(9). eabl7263–eabl7263. 7 indexed citations
7.
Zheng, Yi, Mutsumi Kobayashi, Lifeng Xiang, et al.. (2022). Single-cell analysis of embryoids reveals lineage diversification roadmaps of early human development. Cell stem cell. 29(9). 1402–1419.e8. 36 indexed citations
8.
Yang, Ran, Alexander Goedel, Yu Kang, et al.. (2021). Amnion signals are essential for mesoderm formation in primates. Nature Communications. 12(1). 73 indexed citations
9.
Li, Shanshan, Lei Ao, Yaping Yan, et al.. (2019). Differential motility parameters and identification of proteomic profiles of human sperm cryopreserved with cryostraw and cryovial. Clinical Proteomics. 16(1). 24–24. 23 indexed citations
10.
Duan, Yanchao, Yaping Yan, Ido Braslavsky, et al.. (2019). Improvement of sperm cryo-survival of cynomolgus macaque (Macaca fascicularis) by commercial egg-yolk–free freezing medium with type III antifreeze protein. Animal Reproduction Science. 210. 106177–106177. 17 indexed citations
11.
Li, Tianqing, Zongyong Ai, & Weizhi Ji. (2018). Primate stem cells: bridge the translation from basic research to clinic application. Science China Life Sciences. 62(1). 12–21. 10 indexed citations
12.
Fu, Xufeng, Yaping Yan, Shanshan Li, et al.. (2017). Vitrification of Rhesus Macaque Mesenchymal Stem Cells and the Effects on Global Gene Expression. Stem Cells International. 2017. 1–14. 7 indexed citations
13.
14.
Chen, Yongchang, Yinghui Zheng, Yu Kang, et al.. (2015). Functional disruption of the dystrophin gene in rhesus monkey using CRISPR/Cas9. Human Molecular Genetics. 24(13). 3764–3774. 180 indexed citations
15.
Tan, Tao, Bin Lü, Jing Zhang, et al.. (2013). Notch1 Signaling Antagonizes Transforming Growth Factor-β Pathway and Induces Apoptosis in Rabbit Trophoblast Stem Cells. Stem Cells and Development. 23(8). 813–822. 8 indexed citations
16.
Ji, Shaohui, et al.. (2011). Hepatocytic differentiation of rhesus monkey embryonic stem cells promoted by collagen gels and growth factors. Cell Biology International. 35(8). 775–781. 4 indexed citations
17.
Niu, Yuyu, Shihua Yang, Yang Yu, et al.. (2008). Impairments in Embryonic Genome Activation in Rhesus Monkey Somatic Cell Nuclear Transfer Embryos. Cloning and Stem Cells. 10(1). 25–36. 8 indexed citations
18.
Yang, Shihua, et al.. (2007). Superovulatory response to a low dose single‐daily treatment of rhFSH dissolved in polyvinylpyrrolidone in rhesus monkeys. American Journal of Primatology. 69(11). 1278–1284. 9 indexed citations
19.
Li, Xilong, Dayong Gao, & Weizhi Ji. (2004). Cryopreservation of Sperm of an Endangered Species— Assamese Macaque. 2(1). 29–33. 7 indexed citations
20.
Zheng, Ping, Barry D. Bavister, & Weizhi Ji. (2001). Energy substrate requirement for in vitro maturation of oocytes from unstimulated adult rhesus monkeys. Molecular Reproduction and Development. 58(3). 348–355. 27 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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