Congli Hu

690 total citations
27 papers, 537 citations indexed

About

Congli Hu is a scholar working on Oncology, Molecular Biology and Neurology. According to data from OpenAlex, Congli Hu has authored 27 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 8 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in Congli Hu's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Neurological Disease Mechanisms and Treatments (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Congli Hu is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Neurological Disease Mechanisms and Treatments (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Congli Hu collaborates with scholars based in China, United States and South Korea. Congli Hu's co-authors include Junqing Yang, Ying Luo, Shengnan Kuang, Yang Yang, Guojuan Liang, Hong Wang, Hui Xia, Bin Sun, Hongyang Wang and Lei Chen and has published in prestigious journals such as Nature Communications, Gastroenterology and PLoS ONE.

In The Last Decade

Congli Hu

24 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Congli Hu China 12 210 111 84 75 71 27 537
Lianshu Ding China 14 457 2.2× 201 1.8× 80 1.0× 68 0.9× 73 1.0× 38 825
Heming Yu China 13 391 1.9× 56 0.5× 91 1.1× 92 1.2× 37 0.5× 46 664
Ge Wen China 14 213 1.0× 58 0.5× 61 0.7× 42 0.6× 42 0.6× 43 598
Uday P. Pratap United States 15 260 1.2× 76 0.7× 28 0.3× 81 1.1× 53 0.7× 49 682
Yuanzhang Zhou China 11 227 1.1× 44 0.4× 111 1.3× 43 0.6× 36 0.5× 15 443
Yuhua Jiang China 15 336 1.6× 88 0.8× 52 0.6× 17 0.2× 71 1.0× 27 703
Shuiqing Huang China 14 280 1.3× 66 0.6× 57 0.7× 23 0.3× 32 0.5× 23 636
Alba Esposito Italy 17 343 1.6× 75 0.7× 23 0.3× 68 0.9× 58 0.8× 20 693
Saumyendra N. Sarkar United States 16 326 1.6× 128 1.2× 26 0.3× 46 0.6× 28 0.4× 22 684

Countries citing papers authored by Congli Hu

Since Specialization
Citations

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

Fields of papers citing papers by Congli Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congli Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Congli Hu. A scholar is included among the top collaborators of Congli Hu 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 Congli Hu. Congli Hu 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.
Cai, Xiaoxin, Guoquan Chen, Haiping Wang, Xuan Wang, & Congli Hu. (2025). Pharmacovigilance insights into drug-associated venous thromboembolism. International Journal of Surgery. 111(11). 7677–7685. 1 indexed citations
2.
Liu, Tingting, et al.. (2025). Therapeutic strategies for low anterior resection syndrome: an umbrella review of systematic reviews. International Journal of Colorectal Disease. 40(1). 171–171.
3.
Hu, Congli, et al.. (2025). IL‐15 Superagonist SHR‐1501 Enhances Immune Responses in Lung Cancer by Modulating Tumor Microenvironment. The Clinical Respiratory Journal. 19(8). e70117–e70117.
4.
Liu, Yunhuan, Yong Yu, Congli Hu, et al.. (2025). ZEB2 upregulation modulates the polarization of TAMs toward the immunosuppressive state in EGFR-TKI-resistant NSCLC. Cancer Drug Resistance. 8. 25–25. 1 indexed citations
5.
Chen, Jianing, Congli Hu, Hainan Yang, et al.. (2024). PMS2 amplification contributes brain metastasis from lung cancer. Biological Procedures Online. 26(1). 12–12. 4 indexed citations
6.
Jiang, Minlin, Jiya Sun, Congli Hu, et al.. (2024). A tumor cornification and immune-infiltration-based scheme for anti-PD-1 plus chemotherapy response in advanced squamous cell lung carcinoma. Med. 6(2). 100516–100516. 1 indexed citations
7.
Yi, Honggang, et al.. (2023). Potential mechanisms of Shenmai injection against POCD based on network pharmacology and molecular docking. International Journal of Neuroscience. 134(8). 931–942.
8.
Li, Yuke, Wen Luo, Ying Luo, et al.. (2022). Maternal Inflammation Exaggerates Offspring Susceptibility to Cerebral Ischemia–Reperfusion Injury via the COX‐2/PGD2/DP2 Pathway Activation. Oxidative Medicine and Cellular Longevity. 2022(1). 1571705–1571705. 10 indexed citations
9.
Fan, Guangjian, Lianhui Sun, Ling Meng, et al.. (2021). The ATM and ATR kinases regulate centrosome clustering and tumor recurrence by targeting KIFC1 phosphorylation. Nature Communications. 12(1). 20–20. 50 indexed citations
10.
Fei, Xiang, Congli Hu, Xinyu Wang, et al.. (2021). Construction of a Ferroptosis-Related Long Non-coding RNA Prognostic Signature and Competing Endogenous RNA Network in Lung Adenocarcinoma. Frontiers in Cell and Developmental Biology. 9. 751490–751490. 12 indexed citations
11.
Hu, Congli, et al.. (2021). 3D Culture of Circulating Tumor Cells for Evaluating Early Recurrence and Metastasis in Patients with Hepatocellular Carcinoma. OncoTargets and Therapy. Volume 14. 2673–2688. 22 indexed citations
12.
Yang, Yang, Qi Chen, Ying Luo, et al.. (2021). The imbalance of PGD2-DPs pathway is involved in the type 2 diabetes brain injury by regulating autophagy. International Journal of Biological Sciences. 17(14). 3993–4004. 11 indexed citations
13.
Chen, Zhihao, Junqing Yang, Jianjun Zhong, et al.. (2020). MicroRNA-193b-3p alleviates focal cerebral ischemia and reperfusion-induced injury in rats by inhibiting 5-lipoxygenase expression. Experimental Neurology. 327. 113223–113223. 33 indexed citations
14.
Yang, Yang, Qi Chen, Ying Luo, et al.. (2019). Inhibition of COX2/PGD2-Related Autophagy Is Involved in the Mechanism of Brain Injury in T2DM Rat. Frontiers in Cellular Neuroscience. 13. 68–68. 9 indexed citations
15.
Lü, Yang, Ying Luo, Ying Xu, et al.. (2018). Adapentpronitrile, a New Dipeptidyl Peptidase-IV Inhibitor, Ameliorates Diabetic Neuronal Injury Through Inhibiting Mitochondria-Related Oxidative Stress and Apoptosis. Frontiers in Cellular Neuroscience. 12. 214–214. 14 indexed citations
16.
Ma, Jie, Huan Li, Yang Lü, et al.. (2017). CMD-05, a novel promising clinical anti-diabetic drug candidate, in vivo and vitro studies. Scientific Reports. 7(1). 46628–46628. 11 indexed citations
18.
Hu, Congli, Ying Luo, Hong Wang, et al.. (2017). Re-evaluation of the interrelationships among the behavioral tests in rats exposed to chronic unpredictable mild stress. PLoS ONE. 12(9). e0185129–e0185129. 156 indexed citations
19.
Lv, Guishuai, Yexiong Tan, Hongwei Lv, et al.. (2017). MXR7 facilitates liver cancer metastasis via epithelial-mesenchymal transition. Science China Life Sciences. 60(11). 1203–1213. 9 indexed citations
20.
Luo, Zaili, Shuqun Cheng, Shi Jie, et al.. (2015). A splicing variant of Merlin promotes metastasis in hepatocellular carcinoma. Nature Communications. 6(1). 8457–8457. 29 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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