Juan Ge

1.9k total citations
57 papers, 1.3k citations indexed

About

Juan Ge is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Juan Ge has authored 57 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 21 papers in Public Health, Environmental and Occupational Health and 11 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Juan Ge's work include Reproductive Biology and Fertility (21 papers), Epigenetics and DNA Methylation (14 papers) and Birth, Development, and Health (10 papers). Juan Ge is often cited by papers focused on Reproductive Biology and Fertility (21 papers), Epigenetics and DNA Methylation (14 papers) and Birth, Development, and Health (10 papers). Juan Ge collaborates with scholars based in China, United States and Singapore. Juan Ge's co-authors include Qiang Wang, Longsen Han, Haichao Wang, Ling Li, Xiaojing Hou, Xiaoyan Li, Danhong Qiu, Xuejiang Guo, Shuai Zhu and Chunling Li and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Juan Ge

56 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan Ge China 20 561 544 243 232 164 57 1.3k
Longsen Han China 18 459 0.8× 525 1.0× 248 1.0× 217 0.9× 178 1.1× 36 1.1k
Rujun Ma China 18 396 0.7× 393 0.7× 104 0.4× 235 1.0× 148 0.9× 43 953
Zhaokang Cui China 16 378 0.7× 557 1.0× 140 0.6× 274 1.2× 72 0.4× 34 1.0k
M. C. Carbone Italy 9 220 0.4× 504 0.9× 151 0.6× 370 1.6× 22 0.1× 10 913
Hideki Igarashi Japan 19 393 0.7× 772 1.4× 217 0.9× 595 2.6× 19 0.1× 48 1.3k
Wei Shen China 19 678 1.2× 328 0.6× 65 0.3× 154 0.7× 20 0.1× 57 1.4k
Saffet Öztürk Türkiye 20 562 1.0× 346 0.6× 162 0.7× 225 1.0× 8 0.0× 52 1.1k
Zhihong Cui China 26 707 1.3× 319 0.6× 85 0.3× 575 2.5× 20 0.1× 68 1.8k
Silvina Beatriz Meroni Argentina 23 644 1.1× 403 0.7× 90 0.4× 723 3.1× 36 0.2× 50 1.6k
Fei Lin China 20 618 1.1× 228 0.4× 126 0.5× 94 0.4× 21 0.1× 54 1.2k

Countries citing papers authored by Juan Ge

Since Specialization
Citations

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

Fields of papers citing papers by Juan Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Ge. A scholar is included among the top collaborators of Juan Ge 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 Juan Ge. Juan Ge 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.
Li, Congyang, Yulong Ma, Yueshuai Guo, et al.. (2025). FTDC1/2, oocyte-specific cofactors of DNMT1 required for epigenetic regulation and embryonic development. Cell Death and Differentiation. 32(11). 2093–2110. 1 indexed citations
2.
Han, Longsen, Yueshuai Guo, Shuai Zhu, et al.. (2024). The global phosphorylation landscape of mouse oocytes during meiotic maturation. The EMBO Journal. 43(20). 4752–4785. 6 indexed citations
3.
Li, Jiashuo, Shuai Zhu, Juan Ge, et al.. (2024). KAS-seq profiling captures transcription dynamics during oocyte maturation. Journal of Ovarian Research. 17(1). 23–23. 4 indexed citations
4.
Zhang, Xiang, Juan Ge, Minjian Chen, et al.. (2024). Integrative Omics Reveals the Metabolic Patterns During Oocyte Growth. Molecular & Cellular Proteomics. 23(11). 100862–100862. 4 indexed citations
5.
Liang, Xiaofei, Fengming Zou, Ziping Qi, et al.. (2023). Discovery of Pyrazolo[1,5-a]pyrimidine derivative as a potent and selective PI3Kγ/δ dual inhibitor. European Journal of Medicinal Chemistry. 260. 115768–115768. 5 indexed citations
6.
Wang, Aoli, Juan Liu, Xixiang Li, et al.. (2023). Discovery of a highly potent pan-RAF inhibitor IHMT-RAF-128 for cancer treatment. European Journal of Pharmacology. 952. 175752–175752. 2 indexed citations
7.
Duan, Ting, Jingyu Kuang, Wenjie Sun, et al.. (2023). ULK1 Depletion Protects Mice from Diethylnitrosamine-Induced Hepatocarcinogenesis by Promoting Apoptosis and Inhibiting Autophagy. Journal of Hepatocellular Carcinoma. Volume 10. 315–325. 2 indexed citations
8.
Zhang, Haotian, Yueshuai Guo, Juan Ge, et al.. (2022). Proteomic Profiling Reveals the Molecular Control of Oocyte Maturation. Molecular & Cellular Proteomics. 22(1). 100481–100481. 18 indexed citations
9.
Qi, Shuang, Wu Hong, Aoli Wang, et al.. (2022). CHMFL-26 is a highly potent irreversible HER2 inhibitor for use in the treatment of HER2-positive and HER2-mutant cancers. Acta Pharmacologica Sinica. 43(10). 2678–2686. 2 indexed citations
10.
Ge, Juan, Congyang Li, Shuai Zhu, et al.. (2021). Telomere Dysfunction in Oocytes and Embryos From Obese Mice. Frontiers in Cell and Developmental Biology. 9. 617225–617225. 17 indexed citations
11.
Ge, Juan, Na Zhang, Shoubin Tang, et al.. (2021). Loss of PDK1 Induces Meiotic Defects in Oocytes From Diabetic Mice. Frontiers in Cell and Developmental Biology. 9. 793389–793389. 5 indexed citations
12.
Hou, Xiaojing, Shuai Zhu, Hao Zhang, et al.. (2019). Mitofusin1 in oocyte is essential for female fertility. Redox Biology. 21. 101110–101110. 68 indexed citations
14.
Li, Chunling, Feiyang Diao, Danhong Qiu, et al.. (2018). Histone methyltransferase SETD2 is required for meiotic maturation in mouse oocyte. Journal of Cellular Physiology. 234(1). 661–668. 17 indexed citations
15.
Han, Longsen, Haichao Wang, Ling Li, et al.. (2017). Melatonin protects against maternal obesity‐associated oxidative stress and meiotic defects in oocytes via the SIRT 3‐ SOD 2‐dependent pathway. Journal of Pineal Research. 63(3). 135 indexed citations
16.
Duan, Ting, Wenjie Sun, Juan Ge, et al.. (2017). Dietary restriction protects against diethylnitrosamine-induced hepatocellular tumorigenesis by restoring the disturbed gene expression profile. Scientific Reports. 7(1). 43745–43745. 19 indexed citations
17.
Hou, Xiaojing, Jiaqi Zhang, Ling Li, et al.. (2016). Rab6a is a novel regulator of meiotic apparatus and maturational progression in mouse oocytes. Scientific Reports. 6(1). 22209–22209. 9 indexed citations
18.
Chen, Shaohong, et al.. (2013). Re‐expression of microRNA‐150 induces EBV‐positive Burkitt lymphoma differentiation by modulating c‐Myb in vitro. Cancer Science. 104(7). 826–834. 41 indexed citations
19.
Tang, Hongping, Qingzhu Wei, Juan Ge, et al.. (2013). IMP3 as a supplemental diagnostic marker for Hodgkin lymphoma. Human Pathology. 44(10). 2167–2172. 16 indexed citations
20.
Ge, Juan, Jiajia Li, Jing Zhang, & Zhou Yang. (2012). Time-Dependent Oxidative Stress Responses of Submerged Macrophyte Vallisneria natans Seedlings Exposed to Ammonia in Combination with Microcystin Under Laboratory Conditions. Bulletin of Environmental Contamination and Toxicology. 89(1). 67–72. 19 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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