Die Hu

1.6k total citations · 1 hit paper
61 papers, 1.1k citations indexed

About

Die Hu is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Die Hu has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Immunology. Recurrent topics in Die Hu's work include Extracellular vesicles in disease (9 papers), MicroRNA in disease regulation (7 papers) and Tryptophan and brain disorders (6 papers). Die Hu is often cited by papers focused on Extracellular vesicles in disease (9 papers), MicroRNA in disease regulation (7 papers) and Tryptophan and brain disorders (6 papers). Die Hu collaborates with scholars based in China, United States and Japan. Die Hu's co-authors include Qifei Deng, Tangchun Wu, Lei Guan, Dan Kuang, Wangzhen Zhang, Kun Huang, Huan Guo, Xiao Zhang, Yi Zhang and Jie Shi and has published in prestigious journals such as Environmental Science & Technology, Advanced Functional Materials and The Science of The Total Environment.

In The Last Decade

Die Hu

58 papers receiving 1.1k citations

Hit Papers

Burnout and well-being of healthcare workers in the post-... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Die Hu China 17 395 202 161 122 90 61 1.1k
Rosamund Dove United Kingdom 11 229 0.6× 63 0.3× 224 1.4× 37 0.3× 84 0.9× 19 815
Jingyuan Chen China 22 499 1.3× 164 0.8× 234 1.5× 45 0.4× 96 1.1× 49 1.3k
Kenji Kuroda Japan 23 393 1.0× 204 1.0× 30 0.2× 109 0.9× 217 2.4× 110 1.6k
Inga Prokopenko United Kingdom 17 663 1.7× 111 0.5× 28 0.2× 166 1.4× 79 0.9× 55 1.7k
Yan Zeng China 18 279 0.7× 49 0.2× 94 0.6× 50 0.4× 208 2.3× 73 1.1k
Qingrong Xia China 15 331 0.8× 162 0.8× 23 0.1× 186 1.5× 57 0.6× 55 842
Lindsay M. Reynolds United States 20 667 1.7× 82 0.4× 144 0.9× 70 0.6× 198 2.2× 36 1.7k
Lingjia Qian China 19 546 1.4× 109 0.5× 43 0.3× 66 0.5× 61 0.7× 60 1.0k
Minori Koga Japan 22 583 1.5× 75 0.4× 31 0.2× 244 2.0× 235 2.6× 70 1.5k

Countries citing papers authored by Die Hu

Since Specialization
Citations

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

Fields of papers citing papers by Die Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Die Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Die Hu. A scholar is included among the top collaborators of Die 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 Die Hu. Die 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.
Hu, Die, Brigitte L. Thériault, Laurent Hoffer, et al.. (2025). CDC40 suppression induces CDCA5 splicing defects and anti-proliferative effects in lung cancer cells. Scientific Reports. 15(1). 315–315.
2.
Wang, Haoyu, Jing Huang, Jing Yan, et al.. (2025). Jasmonic acid improves cadmium tolerance in rice (Oryza sativa) by reducing the production of nitric oxide. Ecotoxicology and Environmental Safety. 290. 117722–117722. 5 indexed citations
3.
Shen, Haibin, Die Hu, Fangfang Xie, et al.. (2025). Research progress of extracellular vesicles derived from mesenchymal stem cells in the treatment of neurodegenerative diseases. Frontiers in Immunology. 16. 1496304–1496304. 3 indexed citations
4.
Yang, Xiliang, et al.. (2025). Unlocking the neuroprotective secrets of natural products: a focus on the gut-brain axis. Phytochemistry Reviews. 24(6). 5569–5612. 1 indexed citations
5.
Guo, Zhenyu, et al.. (2024). The role of brevican regulation in the antidepressant effects of electroacupuncture in a chronic stress rat model. Journal of Traditional Chinese Medical Sciences. 11(4). 513–521. 1 indexed citations
6.
Chen, Delong, Yuxuan Zhang, Die Hu, et al.. (2024). Combined risk estimates of diabetes and coronary angiography-derived index of microcirculatory resistance in patients with non-ST elevation myocardial infarction. Cardiovascular Diabetology. 23(1). 300–300. 2 indexed citations
7.
Hu, Die, et al.. (2024). Epigenetic Modifiers in Cancer Metastasis. Biomolecules. 14(8). 916–916. 4 indexed citations
8.
Guo, Shuyuan, Zhuxia Zhang, Taojian Fan, et al.. (2024). Black Phosphorus Microbubbles Combined with Ultrasound for Treating Parkinson's Disease. Advanced Therapeutics. 7(5). 2 indexed citations
9.
Wang, Xiaoxing, Zhengzhe Li, Xiaomei Yi, et al.. (2024). Small extracellular vesicles promote the formation of the pre-metastatic niche through multiple mechanisms in colorectal cancer. Cell Cycle. 23(2). 131–149. 4 indexed citations
10.
Hu, Die, et al.. (2024). Endoscopic resection vs. endoscopic resection plus chemoradiation for T1 stage colorectal cancer: a real-world retrospective cohort study. Translational Cancer Research. 13(2). 989–998. 1 indexed citations
11.
Hu, Die, et al.. (2023). Astroglial Connexin 43-Mediated Gap Junctions and Hemichannels: Potential Antidepressant Mechanisms and the Link to Neuroinflammation. Cellular and Molecular Neurobiology. 43(8). 4023–4040. 24 indexed citations
12.
Wang, Yating, Xiaole Wang, Lei Lan, et al.. (2023). A systematic review and meta-analysis of the efficacy of ketamine and esketamine on suicidal ideation in treatment-resistant depression. European Journal of Clinical Pharmacology. 80(2). 287–296. 11 indexed citations
13.
Li, Zhengzhe, Xiaoling Wang, Xiaoxing Wang, et al.. (2023). Research progress on the role of extracellular vesicles in neurodegenerative diseases. Translational Neurodegeneration. 12(1). 43–43. 38 indexed citations
15.
Wang, Xiaole, Sitong Feng, Bin Chen, et al.. (2022). Efficacy and safety of istradefylline for Parkinson’s disease: A systematic review and meta-analysis. Neuroscience Letters. 774. 136515–136515. 3 indexed citations
16.
Yu, Xiang, Dong Ren, Wei Feng, Qiong Han, & Die Hu. (2020). Breast cancer metastasis suppressor 1 gene enhances the sensitivity of osteosarcoma cells to paclitaxel. Zhonghua shiyan waike zazhi. 37(1). 115–117. 1 indexed citations
17.
Xia, Jun, Guanglei Hu, Die Hu, Songmei Geng, & Weihui Zeng. (2018). Concomitant Use of 1,550-nm Nonablative Fractional Laser With Low-Dose Isotretinoin for the Treatment of Acne Vulgaris in Asian Patients: A Randomized Split-Face Controlled Study. Dermatologic Surgery. 44(9). 1201–1208. 26 indexed citations
18.
Chen, Na, Yanping Bao, Yan-Xue Xue, et al.. (2017). Meta-analyses of RELN variants in neuropsychiatric disorders. Behavioural Brain Research. 332. 110–119. 30 indexed citations
19.
Zhang, Shen, et al.. (2015). PLCE1 Gene in Esophageal Cancer and Interaction with Environmental Factors. Asian Pacific Journal of Cancer Prevention. 16(7). 2745–2749. 8 indexed citations
20.
Zhi, Feng, Yan Xu, Yan Zhu, et al.. (2012). Activated β-catenin Forces N2A Cell-derived Neurons Back to Tumor-like Neuroblasts and Positively Correlates with a Risk for Human Neuroblastoma. International Journal of Biological Sciences. 8(2). 289–297. 14 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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