Fang Ji

3.6k total citations
117 papers, 2.7k citations indexed

About

Fang Ji is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Fang Ji has authored 117 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 25 papers in Surgery and 25 papers in Cancer Research. Recurrent topics in Fang Ji's work include MicroRNA in disease regulation (15 papers), Functional Brain Connectivity Studies (13 papers) and Cancer-related molecular mechanisms research (11 papers). Fang Ji is often cited by papers focused on MicroRNA in disease regulation (15 papers), Functional Brain Connectivity Studies (13 papers) and Cancer-related molecular mechanisms research (11 papers). Fang Ji collaborates with scholars based in China, Singapore and United States. Fang Ji's co-authors include Dake Tong, Hao Tang, Juan Zhou, Wenbin Ding, Liangjie Xia, Juanjuan Qin, Xiaohang Yue, Dajiang Wu, Guangchao Wang and Jiacan Su and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Neurology.

In The Last Decade

Fang Ji

112 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Ji China 30 991 585 449 238 238 117 2.7k
Xin Zhang China 32 833 0.8× 450 0.8× 340 0.8× 154 0.6× 155 0.7× 206 3.5k
Feng Wang China 38 1.5k 1.5× 359 0.6× 265 0.6× 448 1.9× 376 1.6× 215 4.2k
Ruxiang Xu China 32 970 1.0× 335 0.6× 389 0.9× 706 3.0× 239 1.0× 125 2.8k
Kotaro Takeda Japan 33 1.6k 1.6× 1.3k 2.3× 349 0.8× 264 1.1× 570 2.4× 133 4.2k
Weiguo Liu China 31 674 0.7× 266 0.5× 263 0.6× 382 1.6× 159 0.7× 172 3.2k
Qian Liu China 26 945 1.0× 504 0.9× 206 0.5× 460 1.9× 292 1.2× 152 2.8k
Xuhui Wang China 33 823 0.8× 392 0.7× 145 0.3× 118 0.5× 148 0.6× 128 2.7k
Ying Jin China 32 1.6k 1.6× 372 0.6× 333 0.7× 388 1.6× 352 1.5× 100 3.0k

Countries citing papers authored by Fang Ji

Since Specialization
Citations

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

Fields of papers citing papers by Fang Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Ji. A scholar is included among the top collaborators of Fang Ji 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 Fang Ji. Fang Ji 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.
Chen, Weidong, Yutong Zou, Fang Ji, et al.. (2025). Multiomics integration analysis identifies tumor cell-derived MIF as a therapeutic target and potentiates anti-PD-1 therapy in osteosarcoma. Journal for ImmunoTherapy of Cancer. 13(8). e011091–e011091. 1 indexed citations
2.
3.
Cai, Hao, et al.. (2023). Investigation on strong vertical permeability and micro-pore characteristics of Jinan red clay using X-ray micro-tomography. Environmental Earth Sciences. 82(5). 3 indexed citations
4.
Shang, Yuanyuan, Zhe Zhu, Yuanyuan Zhang, et al.. (2023). MiR-7-5p/KLF4 signaling inhibits stemness and radioresistance in colorectal cancer. Cell Death Discovery. 9(1). 42–42. 23 indexed citations
5.
Ji, Fang, Yuek Ling Chai, Siwei Liu, et al.. (2023). Associations of Blood Cardiovascular Biomarkers With Brain Free Water and Its Relationship to Cognitive Decline. Neurology. 101(2). e151–e163. 11 indexed citations
6.
Huang, Chengwei, et al.. (2023). Multi-party Diabetes Mellitus risk prediction based on secure federated learning. Biomedical Signal Processing and Control. 85. 104881–104881. 18 indexed citations
7.
Li, Xiaoqun, et al.. (2021). Corylin inhibits osteoclastogenesis and attenuates postmenopausal osteoporosis in mice. Zhongguo zuzhi gongcheng yanjiu yu linchuang kangfu. 25(2). 186. 1 indexed citations
8.
Ge, Guohong, et al.. (2021). LncRNA MORT Overexpression Inhibits Cancer Cell Migration and Invasion in Hepatocellular Carcinoma by Downregulating NOTCH1. Cancer Biotherapy and Radiopharmaceuticals. 37(7). 537–543. 3 indexed citations
9.
Veldsman, Michele, Fang Ji, Emilio Werden, et al.. (2020). Degeneration of structural brain networks is associated with cognitive decline after ischaemic stroke. Brain Communications. 2(2). fcaa155–fcaa155. 10 indexed citations
10.
Cui, Jin, Xiaoqun Li, Sicheng Wang, et al.. (2020). Triptolide prevents bone loss via suppressing osteoclastogenesis through inhibiting PI3K‐AKT‐NFATc1 pathway. Journal of Cellular and Molecular Medicine. 24(11). 6149–6161. 40 indexed citations
11.
Zhang, Hao, Qianyun He, Dake Tong, et al.. (2018). miR-422a inhibits osteosarcoma proliferation by targeting BCL2L2 and KRAS. Bioscience Reports. 38(2). 26 indexed citations
12.
Zhang, Hao, Xin Zhang, Chen Ding, et al.. (2018). A new less invasive surgical technique in the management of acute Achilles tendon rupture through limited-open procedure combined with a single-anchor and “circuit” suture technique. Journal of Orthopaedic Surgery and Research. 13(1). 198–198. 5 indexed citations
13.
Fu, Chuangang, Zhuqing Zhou, Junyi Han, et al.. (2017). [Protective measures in laparoscopic resection for upper or mid rectal cancer and sigmoid colon cancer with transrectal specimen extraction surgery].. PubMed. 20(10). 1151–1155. 1 indexed citations
14.
Weng, Weizong, Wei Nie, Qirong Zhou, et al.. (2017). Controlled release of vancomycin from 3D porous graphene-based composites for dual-purpose treatment of infected bone defects. RSC Advances. 7(5). 2753–2765. 29 indexed citations
15.
He, Qianyun, Dake Tong, Chuanfeng Wang, et al.. (2016). MiR-367 negatively regulates apoptosis induced by adriamycin in osteosarcoma cells by targeting KLF4. Journal of bone oncology. 5(2). 51–56. 25 indexed citations
16.
Lü, Bo, Jervis Vermal Thevathasan, Lynette Lim, et al.. (2015). STIM2 regulates PKA-dependent phosphorylation and trafficking of AMPARs. Molecular Biology of the Cell. 26(6). 1141–1159. 54 indexed citations
17.
Ji, Fang. (2014). Clinical effect of digestive endoscopy combined with quadruple therapy in treatment of gastric ulcer bleeding and rebleeding. 1 indexed citations
18.
Li, Tianzuo, Song Han, Fang Ji, et al.. (2011). Inhibition of Neuron-Specific CREB Dephosphorylation is Involved in Propofol and Ketamine-Induced Neuroprotection Against Cerebral Ischemic Injuries of Mice. Neurochemical Research. 37(1). 49–58. 35 indexed citations
19.
Chen, Rongqing, Wen Yao, Jingjing Wang, et al.. (2011). Role of Glycine Receptors in Glycine-Induced LTD in Hippocampal CA1 Pyramidal Neurons. Neuropsychopharmacology. 36(9). 1948–1958. 38 indexed citations
20.
Zhang, Bingxi & Fang Ji. (2010). Factors affecting theprotective effect of morphine preconditioning on murine hippocampal neurons againstanoxia-reoxygenation injury. Zhonghua mazuixue zazhi. 30(1). 90–93. 1 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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