Chengjuan Jin

560 total citations
21 papers, 420 citations indexed

About

Chengjuan Jin is a scholar working on Molecular Biology, Reproductive Medicine and Cancer Research. According to data from OpenAlex, Chengjuan Jin has authored 21 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Reproductive Medicine and 7 papers in Cancer Research. Recurrent topics in Chengjuan Jin's work include Ovarian cancer diagnosis and treatment (6 papers), Cancer-related molecular mechanisms research (6 papers) and RNA modifications and cancer (3 papers). Chengjuan Jin is often cited by papers focused on Ovarian cancer diagnosis and treatment (6 papers), Cancer-related molecular mechanisms research (6 papers) and RNA modifications and cancer (3 papers). Chengjuan Jin collaborates with scholars based in China, Canada and United States. Chengjuan Jin's co-authors include Beihua Kong, Hualei Bu, Chunping Qiu, Zhaojian Liu, Lidong Liu, Nan Lü, Yu Wang, Hongfeng Yu, Peishu Liu and Xinrui Zhao and has published in prestigious journals such as International Journal of Cancer, Experimental Cell Research and Biomedicine & Pharmacotherapy.

In The Last Decade

Chengjuan Jin

21 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengjuan Jin China 13 216 116 89 79 69 21 420
Juan Lin China 9 235 1.1× 111 1.0× 32 0.4× 81 1.0× 19 0.3× 14 365
Dilys T.H. Leung Australia 9 177 0.8× 110 0.9× 36 0.4× 77 1.0× 115 1.7× 10 340
Liangdan Tang China 15 220 1.0× 90 0.8× 33 0.4× 61 0.8× 193 2.8× 35 524
Kanako Inaba Japan 10 170 0.8× 83 0.7× 32 0.4× 77 1.0× 48 0.7× 13 306
Xi Han China 12 332 1.5× 210 1.8× 83 0.9× 61 0.8× 19 0.3× 24 462
Samar Masoumi Moghaddam Australia 5 185 0.9× 68 0.6× 39 0.4× 102 1.3× 64 0.9× 6 323
Sara Moufarrij United States 6 275 1.3× 107 0.9× 62 0.7× 113 1.4× 61 0.9× 14 428
Xinyuan Yang China 11 251 1.2× 146 1.3× 72 0.8× 59 0.7× 65 0.9× 28 480
Ruixiu Zhang China 10 272 1.3× 138 1.2× 63 0.7× 202 2.6× 38 0.6× 18 492
D. Joseph United States 4 121 0.6× 32 0.3× 43 0.5× 53 0.7× 164 2.4× 5 370

Countries citing papers authored by Chengjuan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Chengjuan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengjuan Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Chengjuan Jin. A scholar is included among the top collaborators of Chengjuan Jin 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 Chengjuan Jin. Chengjuan Jin 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.
Bu, Hualei, et al.. (2022). Antiangiogenic Strategies in Epithelial Ovarian Cancer: Mechanism, Resistance, and Combination Therapy. Journal of Oncology. 2022. 1–15. 27 indexed citations
2.
Jin, Chengjuan, Shuai Feng, Yang Zhang, et al.. (2022). Effects of Neoadjuvant Chemotherapy in Ovarian Cancer Patients With Different Germline BRCA1/2 Mutational Status: A Retrospective Cohort Study. Frontiers in Oncology. 11. 810099–810099. 2 indexed citations
3.
Jin, Chengjuan, et al.. (2021). Construction of a ceRNA network of hub genes affecting immune infiltration in ovarian cancer identified by WGCNA. BMC Cancer. 21(1). 970–970. 17 indexed citations
4.
Jin, Chengjuan, et al.. (2021). Identification of hub genes in key hallmarks of ovarian cancer via bioinformatics analysis. Translational Cancer Research. 10(2). 827–841. 2 indexed citations
5.
Bu, Hualei, Yan Fang, Chunling Wang, et al.. (2021). Parallel Loop Binding Compression Suture, a Modified Procedure for Pernicious Placenta Previa Complicated With Placenta Increta. Frontiers in Surgery. 8. 786497–786497. 5 indexed citations
6.
Xu, Shengjie, Xiaohong Song, Chengjuan Jin, & Yanli Li. (2020). Tubal choriocarcinoma presented as ruptured ectopic pregnancy: a case report and review of the literature. World Journal of Surgical Oncology. 18(1). 245–245. 12 indexed citations
7.
8.
Bu, Hualei, Yingwei Li, Chengjuan Jin, et al.. (2020). Overexpression of PRC1 indicates a poor prognosis in ovarian cancer. International Journal of Oncology. 56(3). 685–696. 25 indexed citations
9.
Liu, Lidong, Yingxin Pang, Xinrui Zhao, et al.. (2019). Curcumin induces apoptotic cell death and protective autophagy by inhibiting AKT/mTOR/p70S6K pathway in human ovarian cancer cells. Archives of Gynecology and Obstetrics. 299(6). 1627–1639. 67 indexed citations
10.
Li, Yuzheng, Jin‐Ling Yang, Chengjuan Jin, et al.. (2019). High expression of HMBOX1 contributes to poor prognosis of gastric cancer by promoting cell proliferation and migration. Biomedicine & Pharmacotherapy. 115. 108867–108867. 12 indexed citations
11.
Xu, Shengjie, Ye Yang, Xiaoyun Wang, et al.. (2019). γ-Glutamyl cyclotransferase contributes to endometrial carcinoma malignant progression and upregulation of PD-L1 expression during activation of epithelial-mesenchymal transition. International Immunopharmacology. 81. 106039–106039. 7 indexed citations
12.
Xu, Ying, Chengjuan Jin, Chunping Qiu, et al.. (2018). SUSD2 promotes cancer metastasis and confers cisplatin resistance in high grade serous ovarian cancer. Experimental Cell Research. 363(2). 160–170. 30 indexed citations
13.
Jin, Chengjuan, Zhaojian Liu, Yingwei Li, et al.. (2018). PCNA‐associated factor P15PAF, targeted by FOXM1, predicts poor prognosis in high‐grade serous ovarian cancer patients. International Journal of Cancer. 143(11). 2973–2984. 29 indexed citations
14.
Qiu, Chunping, Yu Wang, Xiao Wang, et al.. (2018). Combination of TP53 and AGR3 to distinguish ovarian high-grade serous carcinoma from low-grade serous carcinoma. International Journal of Oncology. 52(6). 2041–2050. 3 indexed citations
15.
Li, Yinuo, Shu‐Hua Lu, Ying Xu, et al.. (2017). Overexpression of CD47 predicts poor prognosis and promotes cancer cell invasion in high-grade serous ovarian carcinoma.. PubMed. 9(6). 2901–2910. 65 indexed citations
16.
Li, Yingwei, Haiyang Guo, Chengjuan Jin, et al.. (2017). Spliceosome-associated factor CTNNBL1 promotes proliferation and invasion in ovarian cancer. Experimental Cell Research. 357(1). 124–134. 22 indexed citations
17.
Jin, Chengjuan, Yingwei Li, Hualei Bu, et al.. (2017). A 2-Protein Signature Predicting Clinical Outcome in High-Grade Serous Ovarian Cancer. International Journal of Gynecological Cancer. 28(1). 51–58. 12 indexed citations
18.
Jin, Chengjuan, et al.. (2015). Cellular leiomyoma with necrosis and mucinous degeneration presenting as pseudo-Meigs’ syndrome with elevated CA125. Oncology Reports. 33(6). 3033–3037. 13 indexed citations
19.
Jin, Chengjuan, et al.. (2015). Coexistence of benign struma ovarii, pseudo-Meigs’ syndrome and elevated serum CA 125: Case report and review of the literature. Oncology Letters. 9(4). 1739–1742. 17 indexed citations
20.
Li, Zhaoxia, et al.. (2014). The Efficacy of Leviteracetam versus Carbamazepine for Epilepsy: A Meta-Analysis.. PubMed. 43(12). 1616–26. 6 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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