Cong Du

1.3k total citations
28 papers, 853 citations indexed

About

Cong Du is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Immunology. According to data from OpenAlex, Cong Du has authored 28 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Immunology. Recurrent topics in Cong Du's work include Thyroid Disorders and Treatments (7 papers), Thyroid Cancer Diagnosis and Treatment (5 papers) and RNA modifications and cancer (4 papers). Cong Du is often cited by papers focused on Thyroid Disorders and Treatments (7 papers), Thyroid Cancer Diagnosis and Treatment (5 papers) and RNA modifications and cancer (4 papers). Cong Du collaborates with scholars based in China, United States and Singapore. Cong Du's co-authors include Qi Zhang, Dongbo Qiu, Andy Peng Xiang, Mao Pang, Yuan Feng, Yan Xu, Nan Cai, Qiuli Liu, Limin Rong and Wanqi Zhang and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Journal of Hepatology.

In The Last Decade

Cong Du

27 papers receiving 846 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 Du China 17 389 145 128 122 113 28 853
Joan Oliva United States 23 524 1.3× 143 1.0× 244 1.9× 174 1.4× 232 2.1× 55 1.1k
Rui Ni China 18 650 1.7× 148 1.0× 153 1.2× 188 1.5× 83 0.7× 43 1.2k
Zhidong Wang China 20 427 1.1× 176 1.2× 119 0.9× 128 1.0× 106 0.9× 60 1.2k
Longcheng Shang China 15 562 1.4× 376 2.6× 172 1.3× 89 0.7× 57 0.5× 21 961
Yujiro Kida Japan 19 671 1.7× 173 1.2× 107 0.8× 174 1.4× 85 0.8× 30 1.4k
Ruifeng Teng United States 16 315 0.8× 80 0.6× 154 1.2× 148 1.2× 34 0.3× 22 1.1k
Tian‐Huei Chu Taiwan 16 348 0.9× 172 1.2× 67 0.5× 84 0.7× 45 0.4× 41 774
Jingzang Tao United States 5 545 1.4× 80 0.6× 84 0.7× 159 1.3× 209 1.8× 7 970

Countries citing papers authored by Cong Du

Since Specialization
Citations

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

Fields of papers citing papers by Cong Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Du

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Du. A scholar is included among the top collaborators of Cong Du 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 Du. Cong Du 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.
Du, Cong, et al.. (2025). HEFNet: a hybrid finite element and deep learning method for magnetic field prediction in electrical equipment. Electrical Engineering. 107(12). 15329–15342.
2.
Lü, Mengxin, Xinyan Li, Cong Du, et al.. (2024). Integrated analyses and a novel nomogram for the prediction of significant fibrosis in patients. Annals of Hepatology. 30(1). 101744–101744. 1 indexed citations
3.
Yang, Xiaohan, Cong Du, Shuang Liu, et al.. (2024). Up-regulated succinylation modifications induce a senescence phenotype in microglia by altering mitochondrial energy metabolism. Journal of Neuroinflammation. 21(1). 296–296. 11 indexed citations
5.
Pang, Mao, Yanheng Wang, Xiaokang Wang, et al.. (2023). Mesenchymal stem cell attenuates spinal cord injury by inhibiting mitochondrial quality control-associated neuronal ferroptosis. Redox Biology. 67. 102871–102871. 82 indexed citations
6.
Hou, Xiaoying, Cong Du, Ligong Lu, et al.. (2022). Opportunities and challenges of patient-derived models in cancer research: patient-derived xenografts, patient-derived organoid and patient-derived cells. World Journal of Surgical Oncology. 20(1). 37–37. 40 indexed citations
7.
He, Jinyong, Cong Du, Weilong Hong, et al.. (2022). Hepatocyte nuclear factor 1A suppresses innate immune response by inducing degradation of TBK1 to inhibit steatohepatitis. Genes & Diseases. 10(4). 1596–1612. 10 indexed citations
8.
Liu, Kunpeng, Dongbo Qiu, Xue Liang, et al.. (2021). Lipotoxicity-induced STING1 activation stimulates MTORC1 and restricts hepatic lipophagy. Autophagy. 18(4). 860–876. 74 indexed citations
9.
Liu, Qiuli, Xiaoyong Chen, Chang Liu, et al.. (2021). Mesenchymal stem cells alleviate experimental immune-mediated liver injury via chitinase 3-like protein 1-mediated T cell suppression. Cell Death and Disease. 12(3). 240–240. 26 indexed citations
10.
Pan, Lijie, Chang Liu, Qiuli Liu, et al.. (2021). Human Wharton's jelly-derived mesenchymal stem cells alleviate concanavalin A-induced fulminant hepatitis by repressing NF-κB signaling and glycolysis. Stem Cell Research & Therapy. 12(1). 496–496. 21 indexed citations
11.
Chen, Huaxin, Jianye Cai, Jiancheng Wang, et al.. (2020). Targeting Nestin+ hepatic stellate cells ameliorates liver fibrosis by facilitating TβRI degradation. Journal of Hepatology. 74(5). 1176–1187. 52 indexed citations
12.
Liang, Weicheng, Ze‐Xiao Lin, Cong Du, Dongbo Qiu, & Qi Zhang. (2020). mRNA modification orchestrates cancer stem cell fate decisions. Molecular Cancer. 19(1). 38–38. 37 indexed citations
13.
Yang, Yang, Mao Pang, Cong Du, et al.. (2020). Repeated subarachnoid administrations of allogeneic human umbilical cord mesenchymal stem cells for spinal cord injury: a phase 1/2 pilot study. Cytotherapy. 23(1). 57–64. 67 indexed citations
14.
Wang, Nanxiang, Yang Yang, Mao Pang, et al.. (2020). MicroRNA-135a-5p Promotes the Functional Recovery of Spinal Cord Injury by Targeting SP1 and ROCK. Molecular Therapy — Nucleic Acids. 22. 1063–1077. 30 indexed citations
15.
Du, Cong, Fan Yang, Xiaofang Zheng, et al.. (2020). Generation of hepatocyte-like cells from human urinary epithelial cells and the role of autophagy during direct reprogramming. Biochemical and Biophysical Research Communications. 527(3). 723–729. 10 indexed citations
16.
Tan, Long, Wen Chen, Lili Fan, et al.. (2019). Relationship between metabolic syndrome and thyroid nodules and thyroid volume in an adult population. Endocrine. 65(2). 357–364. 18 indexed citations
17.
Du, Cong, Yuan Feng, Dongbo Qiu, et al.. (2018). Highly efficient and expedited hepatic differentiation from human pluripotent stem cells by pure small-molecule cocktails. Stem Cell Research & Therapy. 9(1). 58–58. 70 indexed citations
18.
Wang, Wei, Cong Du, Laixiang Lin, et al.. (2018). Anthropometry-based 24-h urinary creatinine excretion reference for Chinese children. PLoS ONE. 13(5). e0197672–e0197672. 14 indexed citations
19.
Feng, Yuan, Yan Liao, Weijun Huang, et al.. (2018). Mesenchymal stromal cells-derived matrix Gla protein contribute to the alleviation of experimental colitis. Cell Death and Disease. 9(6). 691–691. 112 indexed citations
20.
Fan, Lili, Long Tan, Yanting Chen, et al.. (2018). Investigation on the factors that influence the prevalence of thyroid nodules in adults in Tianjin, China. Journal of Trace Elements in Medicine and Biology. 50. 537–542. 25 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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