Fang Cao

2.3k total citations
73 papers, 1.7k citations indexed

About

Fang Cao is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Fang Cao has authored 73 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 22 papers in Oncology and 17 papers in Cancer Research. Recurrent topics in Fang Cao's work include Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (7 papers) and Glioma Diagnosis and Treatment (6 papers). Fang Cao is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (7 papers) and Glioma Diagnosis and Treatment (6 papers). Fang Cao collaborates with scholars based in China, Japan and United States. Fang Cao's co-authors include Shengtao Yao, Xiaochuan Sun, Yang He, Yang Gao, Qiang Zhang, Ryuji Hata, Pengxiang Zhu, Masahiro Sakanaka, Li Jiang and Zhijian Huang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Fang Cao

67 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fang Cao China	25	736	396	250	250	248	73	1.7k
Di Zhong China	23	640 0.9×	240 0.6×	153 0.6×	246 1.0×	347 1.4×	72	1.5k
Mei Jiang China	24	804 1.1×	260 0.7×	168 0.7×	161 0.6×	192 0.8×	67	2.0k
Cory B. Giles United States	22	1.0k 1.4×	264 0.7×	124 0.5×	326 1.3×	389 1.6×	32	2.5k
Qingfei Kong China	26	725 1.0×	166 0.4×	245 1.0×	396 1.6×	246 1.0×	64	1.8k
Xiaohua Zhang China	22	756 1.0×	440 1.1×	162 0.6×	158 0.6×	118 0.5×	77	1.6k
Lei Guo China	23	958 1.3×	241 0.6×	271 1.1×	280 1.1×	252 1.0×	82	2.1k
Jiping Qi China	25	716 1.0×	302 0.8×	315 1.3×	185 0.7×	228 0.9×	73	1.5k
Patrick J. Cimino United States	28	927 1.3×	281 0.7×	263 1.1×	239 1.0×	213 0.9×	90	2.1k
Kavi Devraj Germany	21	940 1.3×	301 0.8×	224 0.9×	141 0.6×	609 2.5×	41	1.9k
Mark Curtis United States	27	723 1.0×	171 0.4×	321 1.3×	251 1.0×	212 0.9×	76	2.1k

Countries citing papers authored by Fang Cao

Since Specialization

Citations

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

Fields of papers citing papers by Fang Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Cao

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

All Works

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20 of 20 papers shown

Liu, Yun, Yun Liu, Fang Cao, et al.. (2023). Shc3 facilitates breast cancer drug resistance by interacting with ErbB2 to initiate ErbB2/COX2/MDR1 axis. Cancer Medicine. 12(9). 10768–10780. 6 indexed citations

Zhang, Peng, Fang Cao, Jiqin Zhang, Ying Tan, & Shengtao Yao. (2023). Temozolomide and chloroquine co-loaded mesoporous silica nanoparticles are effective against glioma. Heliyon. 9(8). e18490–e18490. 15 indexed citations

Wen, Lu, Jun Liu, Feng Bi, et al.. (2023). MRI-Based Radiomic Models Outperform Radiologists in Predicting Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer. Academic Radiology. 30. S176–S184. 25 indexed citations

Cao, Fang, et al.. (2021). Knocking down of Polo-like kinase 2 inhibits cell proliferation and induced cell apoptosis in human glioma cells. Life Sciences. 270. 119084–119084. 13 indexed citations

Huang, Zhijian, Fang Cao, Yue Wu, et al.. (2020). Apolipoprotein E promotes white matter remodeling via the Dab1‐dependent pathway after traumatic brain injury. CNS Neuroscience & Therapeutics. 26(7). 698–710. 19 indexed citations

Peng, Jianhua, Jinwei Pang, Yue Wu, et al.. (2019). Effect of long non-coding RNA F19 on secondary brain injury after traumatic brain injury in mice. Zhonghua chuangshang zazhi. 35(3). 267–273.

Wu, Yue, Jinwei Pang, Jianhua Peng, et al.. (2019). Apolipoprotein E Deficiency Aggravates Neuronal Injury by Enhancing Neuroinflammation via the JNK/c-Jun Pathway in the Early Phase of Experimental Subarachnoid Hemorrhage in Mice. Oxidative Medicine and Cellular Longevity. 2019. 1–15. 79 indexed citations

Liu, Jie, Juan Li, Pingping Li, et al.. (2018). DLG5 suppresses breast cancer stem cell‐like characteristics to restore tamoxifen sensitivity by inhibiting TAZ expression. Journal of Cellular and Molecular Medicine. 23(1). 512–521. 30 indexed citations

Cao, Fang, et al.. (2017). Long non-coding RNA Gm4419 promotes trauma-induced astrocyte apoptosis by targeting tumor necrosis factor α. Biochemical and Biophysical Research Communications. 491(2). 478–485. 37 indexed citations

10.

Ji-liang, Feng, Chun Chang, Fang Cao, et al.. (2016). CK19 and Glypican 3 Expression Profiling in the Prognostic Indication for Patients with HCC after Surgical Resection. PLoS ONE. 11(3). e0151501–e0151501. 53 indexed citations

11.

Peng, Jianhua, Yitian Chen, Yue Wu, et al.. (2016). Altered expressions of long non-coding RNA and mRNA in mouse cortex after subarachnoid hemorrhage. Chinese Journal of Neuromedicine. 15(11). 1111–1117.

12.

Zhong, Jianjun, Chongjie Cheng, Han Liu, et al.. (2016). Bexarotene protects against traumatic brain injury in mice partially through apolipoprotein E. Neuroscience. 343. 434–448. 53 indexed citations

13.

Han, Wei, Fang Cao, Min‐Bin Chen, et al.. (2016). Prognostic Value of SPARC in Patients with Pancreatic Cancer: A Systematic Review and Meta-Analysis. PLoS ONE. 11(1). e0145803–e0145803. 33 indexed citations

14.

Zhong, Jianjun, Li Jiang, Chongjie Cheng, et al.. (2016). Altered expression of long non-coding RNA and mRNA in mouse cortex after traumatic brain injury. Brain Research. 1646. 589–600. 74 indexed citations

15.

Tang, Bo, et al.. (2016). miR-455 inhibits neuronal cell death by targeting TRAF3 in cerebral ischemic stroke. Neuropsychiatric Disease and Treatment. Volume 12. 3083–3092. 48 indexed citations

16.

Cao, Fang, Miao Yi, Kedong Xu, & Peijun Liu. (2015). Lethal (2) Giant Larvae: An Indispensable Regulator of Cell Polarity and Cancer Development. International Journal of Biological Sciences. 11(4). 380–389. 20 indexed citations

17.

Li, Liling, et al.. (2015). TGF-β induces fascin expression in gastric cancer via phosphorylation of smad3 linker area.. PubMed. 5(6). 1890–6. 19 indexed citations

18.

Cao, Fang, et al.. (2013). [Prenatal diagnosis of a case with X-linked spondyloepiphyseal dysplasia tarda].. PubMed. 30(5). 598–600. 1 indexed citations

19.

Yoshida, Tadashi, Nobuhiro Hakuba, Kensuke Fujita, et al.. (2007). Hematopoietic stem cells prevent hair cell death after transient cochlear ischemia through paracrine effects. Neuroscience. 145(3). 923–930. 24 indexed citations

20.

Cao, Fang, Ryuji Hata, Pengxiang Zhu, et al.. (2006). Overexpression of SOCS3 inhibits astrogliogenesis and promotes maintenance of neural stem cells. Journal of Neurochemistry. 98(2). 459–470. 32 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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