Zhejun Ji

1.7k total citations
14 papers, 592 citations indexed

About

Zhejun Ji is a scholar working on Molecular Biology, Immunology and Geriatrics and Gerontology. According to data from OpenAlex, Zhejun Ji has authored 14 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Geriatrics and Gerontology. Recurrent topics in Zhejun Ji's work include Single-cell and spatial transcriptomics (3 papers), CRISPR and Genetic Engineering (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). Zhejun Ji is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), CRISPR and Genetic Engineering (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). Zhejun Ji collaborates with scholars based in China, United States and India. Zhejun Ji's co-authors include Guang‐Hui Liu, Jing Qu, Nicholas E. Baker, Si Wang, Weiqi Zhang, Jorge Polo Blanco, Yusheng Cai, Qiaoran Wang, Moshi Song and Zeming Wu and has published in prestigious journals such as Nucleic Acids Research, Developmental Cell and PLoS Genetics.

In The Last Decade

Zhejun Ji

14 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhejun Ji China 11 330 112 100 96 80 14 592
Lucie Janečková Czechia 16 397 1.2× 138 1.2× 151 1.5× 75 0.8× 83 1.0× 29 846
Houari Abdesselem Qatar 15 288 0.9× 176 1.6× 49 0.5× 88 0.9× 113 1.4× 25 685
Michele D. Allen United States 5 711 2.2× 221 2.0× 31 0.3× 70 0.7× 138 1.7× 7 948
Tanima SenGupta Norway 11 522 1.6× 174 1.6× 152 1.5× 39 0.4× 201 2.5× 16 834
Timo E.S. Kauppila Sweden 8 549 1.7× 127 1.1× 26 0.3× 41 0.4× 87 1.1× 8 713
Johanna H.K. Kauppila Germany 7 814 2.5× 140 1.3× 27 0.3× 47 0.5× 93 1.2× 7 982
Hiromi Yokota‐Hashimoto Japan 16 384 1.2× 230 2.1× 68 0.7× 224 2.3× 98 1.2× 24 885
Shengyi Peng China 10 379 1.1× 73 0.7× 26 0.3× 162 1.7× 45 0.6× 11 608
Nita Sachan United States 7 552 1.7× 125 1.1× 43 0.4× 27 0.3× 98 1.2× 9 721
Catherine L. Nezich United States 6 470 1.4× 114 1.0× 25 0.3× 109 1.1× 375 4.7× 8 725

Countries citing papers authored by Zhejun Ji

Since Specialization
Citations

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

Fields of papers citing papers by Zhejun Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhejun Ji

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

All Works

14 of 14 papers shown
1.
Ji, Zhejun, Guang‐Hui Liu, & Jing Qu. (2025). Mitochondrial sirtuins, key regulators of aging. PubMed. 4(4). lnaf019–lnaf019. 2 indexed citations
2.
Li, Hongyu, Min Wang, Xiaoyu Jiang, et al.. (2024). CRISPR screening uncovers nucleolar RPL22 as a heterochromatin destabilizer and senescence driver. Nucleic Acids Research. 52(19). 11481–11499. 5 indexed citations
3.
Ma, Shuai, Chi Xu, Yusheng Cai, et al.. (2023). Decoding Aging Hallmarks at the Single-Cell Level. PubMed. 6(1). 129–152. 18 indexed citations
4.
Ji, Qianzhao, Zeming Wu, Si Wang, et al.. (2022). Destabilizing heterochromatin by APOE mediates senescence. Nature Aging. 2(4). 303–316. 57 indexed citations
5.
Sun, Guoqiang, Yandong Zheng, Xiaolong Fu, et al.. (2022). Single-cell transcriptomic Atlas of mouse cochlear aging. Protein & Cell. 14(3). 180–201. 55 indexed citations
6.
Liu, Zunpeng, Zhejun Ji, Si Wang, et al.. (2022). Ectopic resurrection of embryonic/developmental genes in aging. 1(1). 2 indexed citations
7.
Cai, Yusheng, Zhejun Ji, Si Wang, et al.. (2022). Genetic enhancement: an avenue to combat aging-related diseases. PubMed. 1(3). 307–318. 18 indexed citations
8.
9.
Ji, Zhejun, Guang‐Hui Liu, & Jing Qu. (2021). Mitochondrial sirtuins, metabolism, and aging. Journal of genetics and genomics. 49(4). 287–298. 151 indexed citations
10.
Ji, Qianzhao, Zeming Wu, Weiqi Zhang, et al.. (2021). SIRT3 consolidates heterochromatin and counteracts senescence. Nucleic Acids Research. 49(8). 4203–4219. 119 indexed citations
11.
Kang, Wang, Tong Jin, Tāo Zhāng, et al.. (2021). OUP accepted manuscript. Nucleic Acids Research. 50(D1). D1085–D1090. 12 indexed citations
12.
Ji, Zhejun, et al.. (2019). Drosophila RpS12 controls translation, growth, and cell competition through Xrp1. PLoS Genetics. 15(12). e1008513–e1008513. 29 indexed citations
13.
Kale, Abhijit, et al.. (2018). Ribosomal Protein S12e Has a Distinct Function in Cell Competition. Developmental Cell. 44(1). 42–55.e4. 30 indexed citations
14.
Lee, Chang Hyun, et al.. (2018). A Regulatory Response to Ribosomal Protein Mutations Controls Translation, Growth, and Cell Competition. Developmental Cell. 46(4). 456–469.e4. 67 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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