Ge Lou

1.1k total citations
33 papers, 796 citations indexed

About

Ge Lou is a scholar working on Molecular Biology, Reproductive Medicine and Cancer Research. According to data from OpenAlex, Ge Lou has authored 33 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Reproductive Medicine and 13 papers in Cancer Research. Recurrent topics in Ge Lou's work include Ovarian cancer diagnosis and treatment (12 papers), Cancer, Lipids, and Metabolism (7 papers) and Cancer-related molecular mechanisms research (7 papers). Ge Lou is often cited by papers focused on Ovarian cancer diagnosis and treatment (12 papers), Cancer, Lipids, and Metabolism (7 papers) and Cancer-related molecular mechanisms research (7 papers). Ge Lou collaborates with scholars based in China, United States and United Kingdom. Ge Lou's co-authors include Kang Li, Haiyu Zhang, Mingzhu Yin, Yan Hou, Chaofu Ke, Lijun Fan, Tao Zhang, Xiao‐Hua Zhou, Kai Yang and Zhenzi Li and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Scientific Reports.

In The Last Decade

Ge Lou

31 papers receiving 793 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ge Lou China 15 585 333 123 109 66 33 796
Pengyun Qiao China 17 436 0.7× 252 0.8× 149 1.2× 153 1.4× 58 0.9× 23 779
Kazuya Kudoh Japan 16 599 1.0× 132 0.4× 306 2.5× 237 2.2× 24 0.4× 48 955
Maria Grazia Prisco Italy 16 310 0.5× 117 0.4× 159 1.3× 316 2.9× 34 0.5× 22 761
Zhenhai Yu China 24 751 1.3× 451 1.4× 199 1.6× 274 2.5× 88 1.3× 46 1.3k
Jeffrey D. Bray United States 12 441 0.8× 56 0.2× 116 0.9× 139 1.3× 48 0.7× 20 885
Ilaria De Stefano Italy 15 316 0.5× 69 0.2× 124 1.0× 163 1.5× 28 0.4× 29 631
Yu Ma China 15 337 0.6× 245 0.7× 15 0.1× 199 1.8× 67 1.0× 36 679
Wenzhi Li China 15 300 0.5× 274 0.8× 40 0.3× 41 0.4× 37 0.6× 27 492
Michihiro Tanikawa Japan 19 534 0.9× 186 0.6× 204 1.7× 244 2.2× 160 2.4× 68 1.1k
Sylvie Fauconnet France 16 510 0.9× 249 0.7× 34 0.3× 136 1.2× 38 0.6× 27 749

Countries citing papers authored by Ge Lou

Since Specialization
Citations

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

Fields of papers citing papers by Ge Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Lou

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Lou. A scholar is included among the top collaborators of Ge Lou 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 Ge Lou. Ge Lou 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.
2.
Shen, Yuanming, Beihua Kong, Bairong Xia, et al.. (2023). Pegylated liposomal doxorubicin and carboplatin versus paclitaxel and carboplatin as first-line treatment for Chinese patients with ovarian cancer: A multi-center, randomized, open-label trial.. Journal of Clinical Oncology. 41(16_suppl). 5556–5556. 1 indexed citations
3.
Xia, Lingfang, Jin Peng, Ge Lou, et al.. (2022). Antitumor activity and safety of camrelizumab plus famitinib in patients with platinum-resistant recurrent ovarian cancer: results from an open-label, multicenter phase 2 basket study. Journal for ImmunoTherapy of Cancer. 10(1). e003831–e003831. 22 indexed citations
4.
Zhang, Yongjian, et al.. (2021). PRSS1 Upregulation Predicts Platinum Resistance in Ovarian Cancer Patients. Frontiers in Cell and Developmental Biology. 8. 618341–618341. 3 indexed citations
5.
Ji, Wei, Yong Wang, Qinghai Gong, et al.. (2021). Impact of Elevated Systolic Blood Pressure Levels on Mortality and Life Expectancy in Southeast Chinese Residents. Iranian Journal of Public Health. 50(10). 1993–2001. 1 indexed citations
6.
7.
Feng, Boya, Mingzhu Yin, Huanjiao Jenny Zhou, et al.. (2017). Stromal Senp1 promotes mouse early folliculogenesis by regulating BMP4 expression. Cell & Bioscience. 7(1). 36–36. 17 indexed citations
8.
Yang, Kai, Yan Hou, Ang Li, et al.. (2017). Identification of a six-lncRNA signature associated with recurrence of ovarian cancer. Scientific Reports. 7(1). 11481–11481. 53 indexed citations
9.
Hou, Yan, Junnan Li, Wenjie Wang, et al.. (2017). Agreement Between Magnetic Resonance Imaging and Pathologic Findings in the Tumor Size Evaluation Before and After Neoadjuvant Chemotherapy Treatment. International Journal of Gynecological Cancer. 27(7). 1472–1479. 3 indexed citations
10.
Wang, Yao, et al.. (2016). HPIP expression predicts chemoresistance and poor clinical outcomes in patients with epithelial ovarian cancer. Human Pathology. 60. 114–120. 8 indexed citations
11.
Liu, Tianbo, et al.. (2015). Increased NUCKS expression is a risk factor for poor prognosis and recurrence in endometrial cancer.. PubMed Central. 5(12). 3659–67. 12 indexed citations
12.
Zhang, Haiyu, Tingting Ge, Xiaoming Cui, et al.. (2014). Prediction of advanced ovarian cancer recurrence by plasma metabolic profiling. Molecular BioSystems. 11(2). 516–521. 21 indexed citations
13.
Hou, Yan, Mingzhu Yin, Fengyu Sun, et al.. (2014). A metabolomics approach for predicting the response to neoadjuvant chemotherapy in cervical cancer patients. Molecular BioSystems. 10(8). 2126–2133. 40 indexed citations
14.
Liu, Tianbo, Hongyu Gao, Meng Yang, et al.. (2014). Correlation of TNFAIP8 overexpression with the proliferation, metastasis, and disease-free survival in endometrial cancer. Tumor Biology. 35(6). 5805–5814. 43 indexed citations
15.
Gu, Lina, Lei Liu, Li-Li Zhong, et al.. (2014). Cthrc1 overexpression is an independent prognostic marker in gastric cancer. Human Pathology. 45(5). 1031–1038. 35 indexed citations
16.
Yin, Mingzhu, Wang Zhang, Fanling Meng, et al.. (2011). LAPTM4B Overexpression is a Novel Independent Prognostic Marker for Metastatic Ovarian Tumors. International Journal of Gynecological Cancer. 22(1). 54–62. 18 indexed citations
17.
Meng, Fanling, Hongtao Song, Mingzhu Yin, et al.. (2011). Correlation of LAPTM4B polymorphisms with cervical carcinoma. Cancer. 117(12). 2652–2658. 30 indexed citations
18.
Yin, Mingzhu, Haiyu Zhang, Huiyan Li, et al.. (2011). The toxicity and long‐term efficacy of nedaplatin and paclitaxel treatment as neoadjuvant chemotherapy for locally advanced cervical cancer. Journal of Surgical Oncology. 105(2). 206–211. 19 indexed citations
19.
Yin, Mingzhu, Ye Xu, Ge Lou, et al.. (2010). LAPTM4B overexpression is a novel predictor of epithelial ovarian carcinoma metastasis. International Journal of Cancer. 129(3). 629–635. 37 indexed citations
20.
Liu, Haixia, et al.. (2010). Fiber-modified adenovirus can mediate human adipose tissue-derived mesenchymal stem cell-based anti-angiogenic gene therapy. Biotechnology Letters. 32(8). 1181–1188. 5 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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