Yibin Pan

1.7k total citations
49 papers, 1.2k citations indexed

About

Yibin Pan is a scholar working on Molecular Biology, Obstetrics and Gynecology and Reproductive Medicine. According to data from OpenAlex, Yibin Pan has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Obstetrics and Gynecology and 13 papers in Reproductive Medicine. Recurrent topics in Yibin Pan's work include Reproductive System and Pregnancy (9 papers), Endometriosis Research and Treatment (9 papers) and Pregnancy and preeclampsia studies (5 papers). Yibin Pan is often cited by papers focused on Reproductive System and Pregnancy (9 papers), Endometriosis Research and Treatment (9 papers) and Pregnancy and preeclampsia studies (5 papers). Yibin Pan collaborates with scholars based in China, Japan and United States. Yibin Pan's co-authors include Songying Zhang, Xiaona Lin, Libing Shi, Yongdong Dai, Liaobing Xin, Yinli Zhang, Lie Ma, Feng Zhou, Yanling Zhang and Wenzhi Xu and has published in prestigious journals such as PLoS ONE, NeuroImage and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Yibin Pan

46 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yibin Pan China 18 394 389 345 328 235 49 1.2k
Pasquapina Ciarmela Italy 28 1.5k 3.9× 578 1.5× 1.2k 3.5× 330 1.0× 129 0.5× 78 2.5k
Hongye Fan China 23 232 0.6× 486 1.2× 44 0.1× 518 1.6× 112 0.5× 46 1.3k
Rui Zhu China 19 93 0.2× 291 0.7× 111 0.3× 160 0.5× 69 0.3× 42 821
Sha Peng China 22 55 0.1× 719 1.8× 292 0.8× 230 0.7× 225 1.0× 58 1.4k
Yucel Akgul United States 15 74 0.2× 278 0.7× 51 0.1× 151 0.5× 103 0.4× 34 1.0k
Toyohiko Miyazaki Japan 18 154 0.4× 164 0.4× 295 0.9× 240 0.7× 64 0.3× 42 1.1k
Weihong Yang China 18 137 0.3× 307 0.8× 140 0.4× 139 0.4× 53 0.2× 49 838
Stefania Greco Italy 18 168 0.4× 184 0.5× 155 0.4× 80 0.2× 177 0.8× 44 930
Kioomars Saliminejad Iran 15 71 0.2× 1.1k 2.9× 179 0.5× 190 0.6× 122 0.5× 47 1.9k
Caterina Crescimanno Italy 22 355 0.9× 345 0.9× 25 0.1× 188 0.6× 59 0.3× 49 1.2k

Countries citing papers authored by Yibin Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yibin Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yibin Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Yibin Pan. A scholar is included among the top collaborators of Yibin Pan 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 Yibin Pan. Yibin Pan 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.
Zhou, Jia, Xia Yang, Yan Wu, et al.. (2025). Hypoxia‐Induced PRMT1 Lactylation Drives Vimentin Arginine Asymmetric Dimethylation in Tumor Metastasis. Advanced Science. 12(41). e09861–e09861. 1 indexed citations
2.
Li, Changling, Yumeng Hu, Jun Jiang, et al.. (2024). Diagnostic Performance of Fractional Flow Reserve Derived From Coronary CT Angiography. JACC: Cardiovascular Interventions. 17(17). 1980–1992. 4 indexed citations
3.
Sun, Cong, Hong Yu, Guohui Yan, et al.. (2024). Site effects in multisite fetal brain MRI: morphological insights into early brain development. European Radiology. 35(4). 1830–1842.
4.
Pan, Yibin, et al.. (2024). Involvement of the Metallothionein gene OsMT2b in Drought and Cadmium Ions Stress in Rice. Rice. 17(1). 63–63. 5 indexed citations
5.
Jia, Xiaoli, Qi Zhang, Yuhua Wang, et al.. (2023). Analysis of the effect of different withering methods on tea quality based on transcriptomics and metabolomics. Frontiers in Plant Science. 14. 1235687–1235687. 14 indexed citations
6.
Zhou, Hanjing, et al.. (2023). Dysregulation of Histone Deacetylases Inhibits Trophoblast Growth during Early Placental Development Partially through TFEB-Dependent Autophagy-Lysosomal Pathway. International Journal of Molecular Sciences. 24(15). 11899–11899. 8 indexed citations
7.
Jiang, Jun, Changqing Du, Yumeng Hu, et al.. (2023). Diagnostic performance of computational fluid dynamics (CFD)-based fractional flow reserve (FFR) derived from coronary computed tomographic angiography (CCTA) for assessing functional severity of coronary lesions. Quantitative Imaging in Medicine and Surgery. 13(3). 1672–1685. 10 indexed citations
8.
Li, Changling, Yumeng Hu, Xiaochang Leng, et al.. (2023). Functional Assessment of Coronary Artery Stenosis from Coronary Angiography and Computed Tomography: Angio-FFR vs. CT-FFR. Journal of Cardiovascular Translational Research. 16(4). 905–915. 4 indexed citations
9.
Li, Jing, Songying Zhang, Yanling Zhang, et al.. (2022). Atg9A-mediated mitophagy is required for decidual differentiation of endometrial stromal cells. Reproductive Biology. 22(4). 100707–100707. 6 indexed citations
10.
Zhou, Hanjing, Yibin Pan, Weijie Yang, et al.. (2022). S100P promotes trophoblast syncytialization during early placenta development by regulating YAP1. Frontiers in Endocrinology. 13. 860261–860261. 5 indexed citations
11.
Shi, Libing, Yingyi Zhang, Xinwei Dong, et al.. (2022). Toxicity from a single injection of human umbilical cord mesenchymal stem cells into rat ovaries. Reproductive Toxicology. 110. 9–18. 10 indexed citations
12.
Pan, Yibin, Lili Yan, Qiaoqiao Chen, et al.. (2021). Dysfunction of Shh signaling activates autophagy to inhibit trophoblast motility in recurrent miscarriage. Experimental & Molecular Medicine. 53(1). 52–66. 17 indexed citations
13.
Jin, Jiamin, Xiaomei Tong, Weijie Yang, et al.. (2020). ADAMTS1 and HSPG2 mRNA levels in cumulus cells are related to human oocyte quality and controlled ovarian hyperstimulation outcomes. Journal of Assisted Reproduction and Genetics. 37(3). 657–667. 19 indexed citations
14.
Cheng, Wei, Yibin Pan, Yinli Zhang, et al.. (2020). Overactivated sonic hedgehog signaling aggravates intrauterine adhesion via inhibiting autophagy in endometrial stromal cells. Cell Death and Disease. 11(9). 755–755. 44 indexed citations
15.
Xin, Liaobing, Xiaona Lin, Yibin Pan, et al.. (2019). A collagen scaffold loaded with human umbilical cord-derived mesenchymal stem cells facilitates endometrial regeneration and restores fertility. Acta Biomaterialia. 92. 160–171. 134 indexed citations
16.
17.
18.
Zhu, Haiyan, Tianxiang Ge, Yibin Pan, & Songying Zhang. (2017). Advanced Role of Hippo Signaling in Endometrial Fibrosis. Chinese Medical Journal. 130(22). 2732–2737. 65 indexed citations
19.
Pan, Yibin, Yuewen Gong, Hongfeng Ruan, et al.. (2015). Sonic hedgehog through Gli2 and Gli3 is required for the proper development of placental labyrinth. Cell Death and Disease. 6(2). e1653–e1653. 32 indexed citations
20.
Wang, Yongjie, Chao Tang, Yibin Pan, et al.. (2014). Dehydroascorbic acid taken up by glucose transporters stimulates estradiol production through inhibition of JNK/c-Jun/AP1 signaling in JAR cells. Molecular Human Reproduction. 20(8). 799–809. 15 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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