Jingshu Geng

1.1k total citations
40 papers, 878 citations indexed

About

Jingshu Geng is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Jingshu Geng has authored 40 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 12 papers in Oncology and 11 papers in Pathology and Forensic Medicine. Recurrent topics in Jingshu Geng's work include Peptidase Inhibition and Analysis (6 papers), RNA modifications and cancer (6 papers) and Cancer Mechanisms and Therapy (4 papers). Jingshu Geng is often cited by papers focused on Peptidase Inhibition and Analysis (6 papers), RNA modifications and cancer (6 papers) and Cancer Mechanisms and Therapy (4 papers). Jingshu Geng collaborates with scholars based in China, United States and Japan. Jingshu Geng's co-authors include Jian‐Ping Cai, Zhenyu Wang, Cong Li, Jiping Qi, Qingtao Shi, Hongxue Meng, Songbin Fu, Meiyan Feng, Rui Li and Dandan Tong and has published in prestigious journals such as PLoS ONE, European Journal of Pharmacology and International Journal of Biological Macromolecules.

In The Last Decade

Jingshu Geng

39 papers receiving 865 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingshu Geng China 20 523 252 196 146 102 40 878
Zheng Wei China 13 443 0.8× 154 0.6× 149 0.8× 109 0.7× 52 0.5× 42 832
Da Tian Bau Taiwan 21 673 1.3× 302 1.2× 351 1.8× 149 1.0× 77 0.8× 57 1.1k
Peter Schirmacher Germany 11 390 0.7× 188 0.7× 320 1.6× 103 0.7× 241 2.4× 21 849
Jue Yang China 18 557 1.1× 203 0.8× 269 1.4× 73 0.5× 97 1.0× 60 933
Hideaki Karasawa Japan 19 635 1.2× 352 1.4× 233 1.2× 90 0.6× 90 0.9× 57 917
Yuting Yi China 14 252 0.5× 155 0.6× 192 1.0× 97 0.7× 114 1.1× 54 631
Yumi Yamaguchi Japan 19 480 0.9× 226 0.9× 189 1.0× 89 0.6× 50 0.5× 48 972
Li Yan China 18 393 0.8× 336 1.3× 206 1.1× 63 0.4× 178 1.7× 54 872
Yongli Guo China 15 694 1.3× 312 1.2× 186 0.9× 96 0.7× 82 0.8× 29 1.0k

Countries citing papers authored by Jingshu Geng

Since Specialization
Citations

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

Fields of papers citing papers by Jingshu Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingshu Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Jingshu Geng. A scholar is included among the top collaborators of Jingshu 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 Jingshu Geng. Jingshu Geng 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.
Mu, Kun, Jingshu Geng, Yu Dong, et al.. (2025). ATF1 and miR-27b-3p drive intervertebral disc degeneration through the PPARG/NF-κB signaling axis. Communications Biology. 8(1). 751–751. 1 indexed citations
2.
Yang, Xinxin, Qi You, Guo‐Dong Yao, et al.. (2020). <p>Evaluation of p16 in Epithelial Ovarian Cancer for a 10-Year Study in Northeast China: Significance of HPV in Correlation with PD-L1 Expression</p>. Cancer Management and Research. Volume 12. 6747–6753. 10 indexed citations
3.
Yang, Xinxin, et al.. (2020). Ciliated Muconodular Papillary Tumors of the Lung: Distinct Molecular Features of an Insidious Tumor. Frontiers in Genetics. 11. 579737–579737. 3 indexed citations
4.
Yu, Xiaoyu, Yan Wang, Hongtao Song, et al.. (2018). AEG-1 Contributes to Metastasis in Hypoxia-Related Ovarian Cancer by Modulating the HIF-1alpha/NF-kappaB/VEGF Pathway. BioMed Research International. 2018. 1–8. 19 indexed citations
5.
Tong, Fangjia, Jingshu Geng, Bingqing Yan, et al.. (2018). Prevalence and Prognostic Significance of HPV in Laryngeal Squamous Cell Carcinoma in Northeast China. Cellular Physiology and Biochemistry. 49(1). 206–216. 22 indexed citations
6.
Meng, Hongxue, Susheng Miao, Kexin Chen, et al.. (2018). Association of p16 as Prognostic Factors for Oropharyngeal Cancer: Evaluation of p16 in 1470 Patients for a 16 Year Study in Northeast China. BioMed Research International. 2018. 1–8. 26 indexed citations
7.
Li, Huining, Dan Kong, Yangyang Xu, et al.. (2017). Tripterygium Wilfordii inhibits tonsillar IgA production by downregulating IgA class switching in IgA nephropathy. Oncotarget. 8(65). 109027–109042. 7 indexed citations
8.
Song, Yuejia, Min Zhou, Yang Cao, et al.. (2017). Expression of GLP-1 receptor and CD26 in human thyroid C-cells: The association of thyroid C-cell tumorigenesis with incretin-based medicine. Oncology Letters. 13(4). 2684–2690. 15 indexed citations
9.
Wu, Yunzhou, Jinjiao He, Jingshu Geng, et al.. (2017). Recombinant Newcastle disease virus expressing human TRAIL as a potential candidate for hepatoma therapy. European Journal of Pharmacology. 802. 85–92. 25 indexed citations
10.
Shi, Qingyu, Tong Liu, Xianyu Zhang, et al.. (2016). Decreased sirtuin 4 expression is associated with poor prognosis in patients with invasive breast cancer. Oncology Letters. 12(4). 2606–2612. 44 indexed citations
11.
Pathmanathan, Nirmala, Jingshu Geng, Wencai Li, et al.. (2016). Human epidermal growth factor receptor 2 status of gastric cancer patients in Asia: results from a large, multicountry study. Asia-Pacific Journal of Clinical Oncology. 13(3). 249–260. 9 indexed citations
12.
Song, Hongtao, et al.. (2014). Astrocyte elevated gene-1 activates MMP9 to increase invasiveness of colorectal cancer. Tumor Biology. 35(7). 6679–6685. 25 indexed citations
13.
Wu, Yunzhou, Shijun Yan, Zheng Lv, et al.. (2013). Recombinant Newcastle Disease Virus Anhinga Strain (NDV/Anh-EGFP) for Hepatoma Therapy. Technology in Cancer Research & Treatment. 13(2). 169–175. 9 indexed citations
14.
Li, Cong, Jian‐Ping Cai, Jingshu Geng, et al.. (2012). Purification, characterization and anticancer activity of a polysaccharide from Panax ginseng. International Journal of Biological Macromolecules. 51(5). 968–973. 68 indexed citations
16.
Li, Xue, et al.. (2008). Elevated serum level and gene polymorphisms of TGF‐β1 in gastric cancer. Journal of Clinical Laboratory Analysis. 22(3). 164–171. 40 indexed citations
17.
Feng, Meiyan, et al.. (2008). Gene Expression Profiling in TWIST‐Depleted Gastric Cancer Cells. The Anatomical Record. 292(2). 262–270. 30 indexed citations
18.
Tong, Dandan, et al.. (2008). Expression of RUNX3 Gene, Methylation Status and Clinicopathological Significance in Breast Cancer and Breast Cancer Cell Lines. Pathobiology. 75(4). 244–251. 46 indexed citations
19.
Xiao, Sheng, et al.. (1992). Cytogenetic studies of eight primary gastric cancers. Cancer Genetics and Cytogenetics. 58(1). 79–84. 25 indexed citations
20.
Geng, Jingshu, et al.. (1991). Cytogenetic studies of five primary esophageal cancers. Cancer Genetics and Cytogenetics. 55(2). 197–205. 13 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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