Cong Yu

1.4k total citations
21 papers, 1.1k citations indexed

About

Cong Yu is a scholar working on Molecular Biology, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Cong Yu has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Neurology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Cong Yu's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), RNA modifications and cancer (3 papers) and MRI in cancer diagnosis (2 papers). Cong Yu is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), RNA modifications and cancer (3 papers) and MRI in cancer diagnosis (2 papers). Cong Yu collaborates with scholars based in China, United States and Italy. Cong Yu's co-authors include Jin-Chen Cheng, Kyoung Hee Nam, Jianming Li, Joanne Chory, Santiago Mora‐García, Yanhai Yin, Ana I. Caño‐Delgado, Dionne Vafeados, Ya Gao and Zhongyi Zhu and has published in prestigious journals such as PLoS ONE, Development and Human Molecular Genetics.

In The Last Decade

Cong Yu

18 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Yu China 8 681 448 322 113 88 21 1.1k
Jay E. Johnson United States 18 581 0.9× 339 0.8× 218 0.7× 173 1.5× 47 0.5× 28 1.1k
Hidetoshi Inagaki Japan 18 564 0.8× 90 0.2× 204 0.6× 222 2.0× 14 0.2× 46 963
Maria Teresa Teixeira France 19 1.5k 2.2× 254 0.6× 1.2k 3.9× 47 0.4× 12 0.1× 36 1.9k
Nele Hug United Kingdom 12 942 1.4× 102 0.2× 338 1.0× 116 1.0× 16 0.2× 14 1.2k
Floyd Wittink Netherlands 14 360 0.5× 76 0.2× 96 0.3× 99 0.9× 37 0.4× 20 654
Anna Cedzich Germany 10 682 1.0× 312 0.7× 47 0.1× 490 4.3× 52 0.6× 11 1.0k
Hiroko Ohmiya Japan 11 593 0.9× 560 1.3× 52 0.2× 265 2.3× 26 0.3× 14 1.1k
Céline Charon France 21 766 1.1× 909 2.0× 30 0.1× 308 2.7× 88 1.0× 40 1.8k
Janis Shampay United States 8 680 1.0× 212 0.5× 497 1.5× 82 0.7× 10 0.1× 9 878
Stephanie Sacharow United States 15 319 0.5× 47 0.1× 131 0.4× 272 2.4× 72 0.8× 26 665

Countries citing papers authored by Cong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Cong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Yu. A scholar is included among the top collaborators of Cong Yu 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 Cong Yu. Cong Yu 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.
Yu, Cong, et al.. (2024). Cuproptosis-related genes are involved in immunodeficiency following ischemic stroke. Archives of Medical Science. 20(1). 321–325. 6 indexed citations
2.
Shi, Fei, Guiyun Zhang, Liang Shu, et al.. (2024). Integrated analysis of single cell‐RNA sequencing and Mendelian randomization identifies lactate dehydrogenase B as a target of melatonin in ischemic stroke. CNS Neuroscience & Therapeutics. 30(5). e14741–e14741. 5 indexed citations
3.
Chu, Sensen, Cong Yu, Jian Cheng, et al.. (2024). Land-sea classification based on the fast feature detection model for ICESat-2 ATL03 datasets. International Journal of Applied Earth Observation and Geoinformation. 130. 103916–103916. 3 indexed citations
5.
Li, Jie, et al.. (2024). Integrated single cell-RNA sequencing and Mendelian randomization for ischemic stroke and metabolic syndrome. iScience. 27(7). 110240–110240. 2 indexed citations
6.
Li, Jie, et al.. (2023). Shared immune metabolic reprogramming between COVID-19 patients in the intensive care unit and ischemic stroke: a pilot study. Archives of Medical Science. 19(6). 1904–1908. 2 indexed citations
7.
Rossi, Rachele, Mingyan Fang, Chongyi Jiang, et al.. (2022). Calculating and comparing codon usage values in rare disease genes highlights codon clustering with disease-and tissue- specific hierarchy. PLoS ONE. 17(3). e0265469–e0265469. 2 indexed citations
8.
Zheng, Ping, et al.. (2022). DNA Methylation-Related circRNA_0116449 Is Involved in Lipid Peroxidation in Traumatic Brain Injury. Frontiers in Molecular Neuroscience. 15. 904913–904913. 5 indexed citations
9.
Yuan, Yue, Qiuting Deng, Xiaoyu Wei, et al.. (2021). The Chromatin Accessibility Landscape of Adult Rat. Frontiers in Genetics. 12. 651604–651604.
10.
Liu, Guangquan, Na Sheng, Mi Zhang, et al.. (2020). Peptidome characterization of ovarian cancer serum and the identification of tumor suppressive peptide ZYX36-58. Annals of Translational Medicine. 8(15). 925–925. 7 indexed citations
11.
Yu, Cong, et al.. (2020). Folic acid ameliorates depression-like behaviour in a rat model of chronic unpredictable mild stress. BMC Neuroscience. 21(1). 1–1. 31 indexed citations
12.
Wang, Ronghuan, et al.. (2019). Characterization and complete genome sequence analysis of phage GP4, a novel lytic Bcep22-like podovirus. Archives of Virology. 164(9). 2339–2343. 17 indexed citations
13.
Zhou, Yi, Zhongyi Zhu, Ya Gao, et al.. (2015). Effects of Maternal and Fetal Characteristics on Cell-Free Fetal DNA Fraction in Maternal Plasma. Reproductive Sciences. 22(11). 1429–1435. 81 indexed citations
14.
Li, Chengjun, Cong Yu, Xiaozhou Liu, et al.. (2014). Research Progress on the Livin Gene and Osteosarcomas. Asian Pacific Journal of Cancer Prevention. 15(20). 8577–8579. 9 indexed citations
15.
Fang, Mingyan, Rosanna Asselta, Pierangela Castorina, et al.. (2014). The expanding spectrum of PRPS1-associated phenotypes: three novel mutations segregating with X-linked hearing loss and mild peripheral neuropathy. European Journal of Human Genetics. 23(6). 766–773. 23 indexed citations
16.
Guo, Yiran, Ivan Prokudin, Cong Yu, et al.. (2014). Advantage of Whole Exome Sequencing over Allele-Specific and Targeted Segment Sequencing in Detection of NovelTULP1Mutation in Leber Congenital Amaurosis. Ophthalmic Genetics. 36(4). 333–338. 12 indexed citations
17.
Yu, Cong. (2012). Evaluation on Accuracy of Pancreatic Volume Using Multislice Spiral CT. 1 indexed citations
18.
Lu, Hong, Cong Yu, Jie Li, et al.. (2005). The expression of aquaporin-4 in the ischemic penumbra tissues after acute cerebral ischemia in rats. Zhonghua fangshexian yixue zazhi. 39(6). 604–607.
19.
Caño‐Delgado, Ana I., Yanhai Yin, Cong Yu, et al.. (2004). BRL1 and BRL3 are novel brassinosteroid receptors that function in vascular differentiation inArabidopsis. Development. 131(21). 5341–5351. 435 indexed citations
20.
Yu, Cong. (1999). The human telomerase catalytic subunit hTERT: organization of the gene and characterization of the promoter. Human Molecular Genetics. 8(1). 137–142. 411 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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