Jinfu Diao

488 total citations
10 papers, 358 citations indexed

About

Jinfu Diao is a scholar working on Genetics, Oncology and Epidemiology. According to data from OpenAlex, Jinfu Diao has authored 10 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Jinfu Diao's work include Glioma Diagnosis and Treatment (3 papers), Meningioma and schwannoma management (2 papers) and 3D Printing in Biomedical Research (2 papers). Jinfu Diao is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), Meningioma and schwannoma management (2 papers) and 3D Printing in Biomedical Research (2 papers). Jinfu Diao collaborates with scholars based in China and United Kingdom. Jinfu Diao's co-authors include Wang Jia, Shunchang Ma, Xiong Wang, Tao Xu, Wenjianlong Zhou, Xuanzhi Wang, Xinda Li, Xinzhi Zhang, Xingliang Dai and Jie Tian and has published in prestigious journals such as Brain Research, European Radiology and Molecular Neurobiology.

In The Last Decade

Jinfu Diao

10 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinfu Diao China 8 92 79 75 74 57 10 358
Shamik Chakraborty United States 12 69 0.8× 48 0.6× 24 0.3× 112 1.5× 76 1.3× 29 478
Marta Padovan Italy 13 38 0.4× 91 1.2× 90 1.2× 282 3.8× 52 0.9× 47 435
Yutong Chen China 10 35 0.4× 103 1.3× 32 0.4× 64 0.9× 28 0.5× 19 329
Ho Kang South Korea 12 66 0.7× 37 0.5× 26 0.3× 94 1.3× 63 1.1× 49 387
Francesco Volpin Italy 12 47 0.5× 125 1.6× 69 0.9× 142 1.9× 12 0.2× 21 425
Jared S. Rosenblum United States 11 40 0.4× 151 1.9× 85 1.1× 44 0.6× 36 0.6× 38 416
Sascha Marx Germany 15 24 0.3× 137 1.7× 60 0.8× 112 1.5× 35 0.6× 46 605
Cumhur Kaan Yaltırık Türkiye 11 47 0.5× 84 1.1× 29 0.4× 50 0.7× 19 0.3× 45 366
Myrielle Mathieu Belgium 12 44 0.5× 177 2.2× 125 1.7× 137 1.9× 109 1.9× 24 556
Seung-Ho Yang South Korea 14 19 0.2× 105 1.3× 68 0.9× 115 1.6× 154 2.7× 45 518

Countries citing papers authored by Jinfu Diao

Since Specialization
Citations

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

Fields of papers citing papers by Jinfu Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinfu Diao

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

All Works

10 of 10 papers shown
1.
Li, Peiliang, Dainan Zhang, Shunchang Ma, et al.. (2021). Consistency of pituitary adenomas: Amounts of collagen types I and III and the predictive value of T2WI MRI. Experimental and Therapeutic Medicine. 22(5). 1255–1255. 6 indexed citations
2.
Zhang, Shuaitong, Shunchang Ma, Jinfu Diao, et al.. (2018). Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images. European Radiology. 29(3). 1625–1634. 78 indexed citations
3.
Wang, Xiong, Xinzhi Zhang, Xingliang Dai, et al.. (2018). Tumor-like lung cancer model based on 3D bioprinting. 3 Biotech. 8(12). 501–501. 78 indexed citations
4.
Zhou, Wenjianlong, Xi Wang, Jiayi Peng, et al.. (2018). Clinical Features and Prognostic Risk Factors of Choroid Plexus Tumors in Children. Chinese Medical Journal. 131(24). 2938–2946. 16 indexed citations
5.
Diao, Jinfu, Chuanbao Zhang, Dainan Zhang, et al.. (2018). Role and mechanisms of a three-dimensional bioprinted microtissue model in promoting proliferation and invasion of growth-hormone-secreting pituitary adenoma cells. Biofabrication. 11(2). 25006–25006. 16 indexed citations
6.
Ma, Shunchang, Qi Li, Jiayi Peng, et al.. (2017). Claudin‐5 regulates blood‐brain barrier permeability by modifying brain microvascular endothelial cell proliferation, migration, and adhesion to prevent lung cancer metastasis. CNS Neuroscience & Therapeutics. 23(12). 947–960. 79 indexed citations
7.
Diao, Jinfu, Chunyong Wu, Junying Zhang, et al.. (2015). Loss of Diacylglycerol Kinase-Ζ Inhibits Cell Proliferation and Survival in Human Gliomas. Molecular Neurobiology. 53(8). 5425–5435. 17 indexed citations
8.
Diao, Jinfu, et al.. (2015). Overexpression of HLA-DR is associated with prognosis of glioma patients.. PubMed. 8(5). 5485–90. 22 indexed citations
9.
Liu, Jialin, Jing-hui Xue, Haitao Zhang, et al.. (2014). Cloning, expression, and purification of cold inducible RNA-binding protein and its neuroprotective mechanism of action. Brain Research. 1597. 189–195. 42 indexed citations
10.
Diao, Jinfu, et al.. (2014). Evaluation of the Association Between CD143 Gene Polymorphism and Psoriasis. Cell Biochemistry and Biophysics. 70(3). 1617–1623. 4 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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