Yongtao Geng

805 total citations · 1 hit paper
9 papers, 586 citations indexed

About

Yongtao Geng is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Yongtao Geng has authored 9 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Immunology. Recurrent topics in Yongtao Geng's work include Cytokine Signaling Pathways and Interactions (3 papers), Protein Tyrosine Phosphatases (2 papers) and Bone Metabolism and Diseases (1 paper). Yongtao Geng is often cited by papers focused on Cytokine Signaling Pathways and Interactions (3 papers), Protein Tyrosine Phosphatases (2 papers) and Bone Metabolism and Diseases (1 paper). Yongtao Geng collaborates with scholars based in China, United States and Japan. Yongtao Geng's co-authors include Dehao Fu, Yongzhi Cui, Weihang Gao, Rui Li, Yuanyuan Guo, Yu Song, Siyuan Wang, Xiong Jia, Zhiping Zhang and Li Kong and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and FEBS Letters.

In The Last Decade

Yongtao Geng

9 papers receiving 582 citations

Hit Papers

Sirt3-mediated mitophagy regulates AGEs-induced BMSCs sen... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongtao Geng China 8 401 161 100 69 63 9 586
Qiang Jie China 15 395 1.0× 133 0.8× 103 1.0× 110 1.6× 60 1.0× 50 704
Xiaobin Yang China 12 314 0.8× 94 0.6× 113 1.1× 56 0.8× 57 0.9× 28 470
Shui Qiu China 14 316 0.8× 169 1.0× 61 0.6× 36 0.5× 46 0.7× 21 526
Jeong-Tae Koh South Korea 11 352 0.9× 125 0.8× 116 1.2× 60 0.9× 31 0.5× 15 555
Jianbo Fan China 15 366 0.9× 207 1.3× 76 0.8× 49 0.7× 53 0.8× 34 568
Weiyuan Gong China 7 297 0.7× 121 0.8× 91 0.9× 37 0.5× 53 0.8× 10 745
Minghao Qu China 7 297 0.7× 121 0.8× 91 0.9× 37 0.5× 54 0.9× 8 742
Silvia Marino United Kingdom 16 306 0.8× 103 0.6× 216 2.2× 28 0.4× 73 1.2× 32 559
Jinqi Xue China 14 441 1.1× 202 1.3× 232 2.3× 34 0.5× 120 1.9× 30 796
Chang She China 13 310 0.8× 88 0.5× 54 0.5× 64 0.9× 47 0.7× 40 529

Countries citing papers authored by Yongtao Geng

Since Specialization
Citations

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

Fields of papers citing papers by Yongtao Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongtao Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Yongtao Geng. A scholar is included among the top collaborators of Yongtao Geng 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 Yongtao Geng. Yongtao Geng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Chu, Jun, Yongtao Geng, Jun Li, et al.. (2023). Lachnochromonin, a fungal metabolite from Lachnum virgineum, inhibits cell growth and promotes apoptosis in tumor cells through JAK/STAT3 signaling. Cellular Signalling. 106. 110592–110592. 3 indexed citations
2.
Cui, Yongzhi, Chun‐Ming Ma, Yongtao Geng, et al.. (2023). Bone‐Targeted Biomimetic Nanogels Re‐Establish Osteoblast/Osteoclast Balance to Treat Postmenopausal Osteoporosis. Small. 20(6). e2303494–e2303494. 48 indexed citations
3.
Guo, Yuanyuan, Xiong Jia, Yongzhi Cui, et al.. (2021). Sirt3-mediated mitophagy regulates AGEs-induced BMSCs senescence and senile osteoporosis. Redox Biology. 41. 101915–101915. 204 indexed citations breakdown →
4.
Cui, Yongzhi, Yuanyuan Guo, Li Kong, et al.. (2021). A bone-targeted engineered exosome platform delivering siRNA to treat osteoporosis. Bioactive Materials. 10. 207–221. 172 indexed citations
5.
Geng, Yongtao & Alexandros Pertsinidis. (2021). Simple and versatile imaging of genomic loci in live mammalian cells and early pre-implantation embryos using CAS-LiveFISH. Scientific Reports. 11(1). 12220–12220. 18 indexed citations
6.
Ren, Fangli, Yongtao Geng, T. Minami, et al.. (2015). Nuclear termination of STAT3 signaling through SIPAR (STAT3‐Interacting Protein As a Repressor)‐dependent recruitment of T cell tyrosine phosphatase TC‐PTP. FEBS Letters. 589(15). 1890–1896. 15 indexed citations
7.
Geng, Yongtao, Fangli Ren, Ying Qiu, et al.. (2014). Insulin Receptor Substrate 1/2 (IRS1/2) Regulates Wnt/β-Catenin Signaling through Blocking Autophagic Degradation of Dishevelled2. Journal of Biological Chemistry. 289(16). 11230–11241. 54 indexed citations
8.
Ren, Fangli, Fuqin Su, Hongxiu Ning, et al.. (2013). SIPAR negatively regulates STAT3 signaling and inhibits progression of melanoma. Cellular Signalling. 25(11). 2272–2280. 8 indexed citations
9.
Su, Fuqin, Fangli Ren, Rong Yu, et al.. (2012). Protein tyrosine phosphatase Meg2 dephosphorylates signal transducer and activator of transcription 3 and suppresses tumor growth in breast cancer. Breast Cancer Research. 14(2). R38–R38. 64 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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