Zeshan You

808 total citations
20 papers, 543 citations indexed

About

Zeshan You is a scholar working on Molecular Biology, Cancer Research and Reproductive Medicine. According to data from OpenAlex, Zeshan You has authored 20 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Cancer Research and 5 papers in Reproductive Medicine. Recurrent topics in Zeshan You's work include Cancer-related molecular mechanisms research (6 papers), Ovarian cancer diagnosis and treatment (4 papers) and Circular RNAs in diseases (4 papers). Zeshan You is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Ovarian cancer diagnosis and treatment (4 papers) and Circular RNAs in diseases (4 papers). Zeshan You collaborates with scholars based in China and Macao. Zeshan You's co-authors include Yinguang Li, Wenhui Hou, He Huang, Chen Yang, Li Li, Shanyang He, Zhuyu Li, Shuzhong Yao, Li Li and Jie Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Frontiers in Immunology.

In The Last Decade

Zeshan You

20 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zeshan You China 11 378 283 137 62 43 20 543
Jéssica Rodrigues Plaça Brazil 14 323 0.9× 206 0.7× 75 0.5× 50 0.8× 38 0.9× 28 495
Shilong Fu China 12 207 0.5× 217 0.8× 56 0.4× 56 0.9× 50 1.2× 20 350
Park Sm South Korea 4 494 1.3× 444 1.6× 73 0.5× 37 0.6× 21 0.5× 15 653
Roubini Zakopoulou Greece 10 358 0.9× 132 0.5× 49 0.4× 144 2.3× 23 0.5× 29 533
Kanwal Minhas Canada 8 209 0.6× 135 0.5× 78 0.6× 56 0.9× 23 0.5× 13 344
Alessandro La Ferlita Italy 8 262 0.7× 193 0.7× 123 0.9× 25 0.4× 85 2.0× 22 424
Vishnupriya Satti India 13 243 0.6× 106 0.4× 39 0.3× 70 1.1× 25 0.6× 30 397
Herta Bettendorf Germany 12 217 0.6× 68 0.2× 84 0.6× 92 1.5× 65 1.5× 15 387
Toshihide Nakada Japan 6 152 0.4× 138 0.5× 62 0.5× 71 1.1× 11 0.3× 9 370
Miłosz Wilczyński Poland 10 140 0.4× 131 0.5× 43 0.3× 63 1.0× 72 1.7× 32 290

Countries citing papers authored by Zeshan You

Since Specialization
Citations

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

Fields of papers citing papers by Zeshan You

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeshan You

This figure shows the co-authorship network connecting the top 25 collaborators of Zeshan You. A scholar is included among the top collaborators of Zeshan You 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 Zeshan You. Zeshan You 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, Yuying, et al.. (2022). A novel necroptosis-related lncRNA signature for predicting prognosis and anti-cancer treatment response in endometrial cancer. Frontiers in Immunology. 13. 1018544–1018544. 14 indexed citations
2.
Yang, Guiping, et al.. (2022). Maelstrom promotes tumor metastasis through regulation of FGFR4 and epithelial-mesenchymal transition in epithelial ovarian cancer. Journal of Ovarian Research. 15(1). 55–55. 2 indexed citations
3.
Shen, Hongwei, Bing Liao, Yunhe Zhao, et al.. (2021). PTOV1 promotes cisplatin-induced chemotherapy resistance by activating the nuclear factor kappa B pathway in ovarian cancer. Molecular Therapy — Oncolytics. 20. 499–507. 8 indexed citations
4.
He, Shanyang, Wei Wang, Hongwei Shen, et al.. (2021). FAM83B inhibits ovarian cancer cisplatin resistance through inhibiting Wnt pathway. Oncogenesis. 10(1). 6–6. 15 indexed citations
5.
Cui, Zifeng, Yao Yu, Rui Tian, et al.. (2021). DeepEBV: a deep learning model to predict Epstein–Barr virus (EBV) integration sites. Bioinformatics. 37(20). 3405–3411. 8 indexed citations
6.
Lai, Hui‐Ling, Tingting Sun, Yuanyuan Li, et al.. (2020). Non-target genetic manipulation induces rhabdomyosarcoma in KrasPten-driven mouse model of ovarian cancer. Translational Cancer Research. 9(12). 7458–7468. 2 indexed citations
7.
Yang, Guiping, Hui‐Ling Lai, Yu Zheng, et al.. (2020). CHD1L promotes EOC cell invasiveness and metastasis via the regulation of METAP2. International Journal of Medical Sciences. 17(15). 2387–2395. 9 indexed citations
8.
Li, Xiaohui, Zuwei Zhang, Hongwei Shen, et al.. (2020). A novel diagnostic nomogram based on serological and ultrasound findings for preoperative prediction of malignancy in patients with ovarian masses. Gynecologic Oncology. 160(3). 704–712. 15 indexed citations
9.
Yang, Chen, et al.. (2017). LncRNA GAS5 suppresses ovarian cancer by inducing inflammasome formation. Bioscience Reports. 38(2). 113 indexed citations
10.
Li, Jie, Qiang Li, He Huang, et al.. (2017). Overexpression of miRNA-221 promotes cell proliferation by targeting the apoptotic protease activating factor-1 and indicates a poor prognosis in ovarian cancer. International Journal of Oncology. 50(4). 1087–1096. 51 indexed citations
11.
12.
Hou, Wenhui, Zhuyu Li, Yinguang Li, et al.. (2016). Correlation between protein expression of FOXP3 and level of FOXP3 promoter methylation in recurrent spontaneous abortion. Journal of obstetrics and gynaecology research. 42(11). 1439–1444. 18 indexed citations
13.
Li, Xiaoqing, Wenhui Hou, Linjing Yuan, et al.. (2016). Overexpression of RNF2 is positively associated with ovarian carcinoma aggressiveness and indicative of poor patient survival. Oncotarget. 0(0). 9 indexed citations
14.
Deng, Yalan, Jun Liu, Zhanying Ye, et al.. (2016). MiR-760 overexpression promotes proliferation in ovarian cancer by downregulation of PHLPP2 expression. Gynecologic Oncology. 143(3). 655–663. 46 indexed citations
15.
Fu, Yanxia, et al.. (2015). Lentivirus-mediated shRNA interference of clusterin blocks proliferation, motility, invasion and cell cycle in the ovarian cancer cells. Journal of Ovarian Research. 8(1). 59–59. 14 indexed citations
16.
17.
Liu, Liqun, Wei Guo, Wendan Yu, & Zeshan You. (2013). Fisetin Simultaneously Targets Apaf-1, ERK, and COX-2 Signaling Leading to Growth Inhibition and Apoptosis in Human Cervical Carcinoma Cell In Vitro. Journal of Sun Yat-sen University. 34(1). 75. 1 indexed citations
18.
He, Shanyang, Hongwei Shen, Lin Xu, et al.. (2012). FOXM1 promotes tumor cell invasion and correlates with poor prognosis in early-stage cervical cancer. Gynecologic Oncology. 127(3). 601–610. 54 indexed citations
19.
You, Zeshan, et al.. (2011). [Study on association of functional polymorphisms in Foxp3 gene with the susceptibility to unexplained recurrent spontaneous abortion].. PubMed. 46(10). 763–8. 1 indexed citations
20.
You, Zeshan, et al.. (2011). Association between Functional Polymorphisms of Foxp3 Gene and the Occurrence of Unexplained Recurrent Spontaneous Abortion in a Chinese Han Population. SHILAP Revista de lepidopterología. 2012. 1–7. 87 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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