Jun Zhan

5.0k total citations
83 papers, 2.5k citations indexed

About

Jun Zhan is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Jun Zhan has authored 83 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 24 papers in Oncology and 18 papers in Cell Biology. Recurrent topics in Jun Zhan's work include Cell Adhesion Molecules Research (18 papers), Epigenetics and DNA Methylation (11 papers) and Wnt/β-catenin signaling in development and cancer (10 papers). Jun Zhan is often cited by papers focused on Cell Adhesion Molecules Research (18 papers), Epigenetics and DNA Methylation (11 papers) and Wnt/β-catenin signaling in development and cancer (10 papers). Jun Zhan collaborates with scholars based in China, Ethiopia and United States. Jun Zhan's co-authors include Hongquan Zhang, Yani He, Li-Rong Lin, Weigang Fang, Yunling Wang, Jiagui Song, Jurong Yang, Junhu Wan, Jian‐Guo Zhang and Weizhi Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Jun Zhan

79 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Zhan China 30 1.6k 537 384 384 290 83 2.5k
Ella Ioffe United States 16 2.3k 1.4× 643 1.2× 768 2.0× 197 0.5× 156 0.5× 24 3.6k
Weiping Yuan China 30 2.1k 1.3× 334 0.6× 304 0.8× 312 0.8× 117 0.4× 141 3.3k
Jiří Ehrmann Czechia 24 1.3k 0.8× 655 1.2× 777 2.0× 200 0.5× 140 0.5× 113 2.6k
Marvin T. Nieman United States 26 1.4k 0.9× 310 0.6× 472 1.2× 294 0.8× 131 0.5× 71 2.7k
Koichi Hamada Japan 21 1.7k 1.0× 465 0.9× 536 1.4× 285 0.7× 101 0.3× 56 2.8k
Azeddine Atfi France 39 3.1k 1.9× 660 1.2× 1.1k 2.8× 380 1.0× 176 0.6× 87 4.4k
Weigang Fang China 28 1.1k 0.7× 484 0.9× 433 1.1× 225 0.6× 149 0.5× 80 2.1k
Hidenori Shiraha Japan 30 1.1k 0.7× 497 0.9× 507 1.3× 466 1.2× 106 0.4× 127 2.9k
Cuong Hoang‐Vu Germany 34 2.0k 1.2× 741 1.4× 836 2.2× 236 0.6× 104 0.4× 102 3.7k
Koichiro Mihara Canada 25 1.2k 0.8× 313 0.6× 583 1.5× 154 0.4× 142 0.5× 69 2.7k

Countries citing papers authored by Jun Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Zhan. A scholar is included among the top collaborators of Jun Zhan 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 Jun Zhan. Jun Zhan 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.
Ke, Huizhen, et al.. (2025). Open-air-processed Perfluoro(4-methylpent-2-ene)-modified MAPbI3 solar cells actualize 21.25% PCE and excellent humidity stability. Solar Energy. 294. 113508–113508. 1 indexed citations
2.
Wang, Zhenbin, Lei Zhang, Bing Li, et al.. (2023). Kindlin-2 in myoepithelium controls luminal progenitor commitment to alveoli in mouse mammary gland. Cell Death and Disease. 14(10). 675–675. 5 indexed citations
3.
Yu, Miao, Lei Zhang, Zhenbin Wang, et al.. (2023). FRMD8 targets both CDK4 activation and RB degradation to suppress colon cancer growth. Cell Reports. 42(8). 112886–112886. 6 indexed citations
5.
Zhang, Lei, Miao Yu, Jing Zhang, et al.. (2023). FERM domain-containing protein FRMD6 activates the mTOR signaling pathway and promotes lung cancer progression. Frontiers of Medicine. 17(4). 714–728. 8 indexed citations
6.
Zhou, Xiao Albert, Jiadong Zhou, Zelin Liu, et al.. (2023). A transcription‐independent mechanism determines rapid periodic fluctuations of BRCA1  expression. The EMBO Journal. 42(15). e111951–e111951. 5 indexed citations
7.
Jin, Jiaqi, Lei Zhang, Xueying Li, et al.. (2022). Oxidative stress-CBP axis modulates MOB1 acetylation and activates the Hippo signaling pathway. Nucleic Acids Research. 50(7). 3817–3834. 46 indexed citations
8.
Yu, Miao, Lei Zhang, Cuicui Li, et al.. (2022). The AMPK-HOXB9-KRAS axis regulates lung adenocarcinoma growth in response to cellular energy alterations. Cell Reports. 40(8). 111210–111210. 10 indexed citations
9.
Cheng, Yinwei, Fa‐Min Zeng, Shaohong Wang, et al.. (2021). P300/CBP‐associated factor (PCAF)‐mediated acetylation of Fascin at lysine 471 inhibits its actin‐bundling activity and tumor metastasis in esophageal cancer. Cancer Communications. 41(12). 1398–1416. 22 indexed citations
10.
Jiang, Yuhan, Cheng Liu, Lei Zhang, et al.. (2021). Isonicotinylation is a histone mark induced by the anti-tuberculosis first-line drug isoniazid. Nature Communications. 12(1). 5548–5548. 34 indexed citations
11.
Chu, Wenhui, Lihua Qi, Peng Wang, et al.. (2020). The EZH2–PHACTR2–AS1–Ribosome Axis induces Genomic Instability and Promotes Growth and Metastasis in Breast Cancer. Cancer Research. 80(13). 2737–2750. 44 indexed citations
12.
Li, Bing, Xiaochun Chi, Jiagui Song, et al.. (2018). Integrin-interacting protein Kindlin-2 induces mammary tumors in transgenic mice. Science China Life Sciences. 62(2). 225–234. 13 indexed citations
13.
Song, Jiagui, Weizhi Xu, Peng Wang, et al.. (2018). HOXB9 acetylation at K27 is responsible for its suppression of colon cancer progression. Cancer Letters. 426. 63–72. 24 indexed citations
14.
Lawler, Katherine, Efterpi Papouli, Cristina Naceur‐Lombardelli, et al.. (2017). Gene expression modules in primary breast cancers as risk factors for organotropic patterns of first metastatic spread: a case control study. Breast Cancer Research. 19(1). 113–113. 4 indexed citations
15.
Hong, Shaodong, et al.. (2016). 397PD KRAS mutation-induced upregulation of PD-L1 mediates immune escape in lung adenocarcinoma. Annals of Oncology. 27. ix123–ix123. 1 indexed citations
16.
Dong, Chao, Leilei Niu, Wei Song, et al.. (2016). tRNA modification profiles of the fast-proliferating cancer cells. Biochemical and Biophysical Research Communications. 476(4). 340–345. 38 indexed citations
17.
Zhong, Wa, Yu Zhong, Jun Zhan, et al.. (2014). Association of Serum Levels of CEA, CA199, CA125, CYFRA21-1 and CA72-4 and Disease Characteristics in Colorectal Cancer. Pathology & Oncology Research. 21(1). 83–95. 63 indexed citations
18.
Chen, Guangcheng, Tao Yu, Lina Zhao, et al.. (2013). Prognosis of 153 patients with decompensated hepatitis B virus-related cirrhosis is improved after 3-year continuous lamivudine treatment. Chinese Medical Journal. 126(8). 1538–1543. 3 indexed citations
19.
Zhan, Jun, et al.. (2012). Investigation of application of ALT / ALP ratio in the differen- tial diagnosis of jaundice. 2(3). 5 indexed citations
20.
Bid, Hemant K., Jun Zhan, Doris A. Phelps, Raushan T. Kurmasheva, & Peter J. Houghton. (2011). Potent Inhibition of Angiogenesis by the IGF-1 Receptor-Targeting Antibody SCH717454 Is Reversed by IGF-2. Molecular Cancer Therapeutics. 11(3). 649–659. 57 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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