Qing He

1.1k total citations
37 papers, 870 citations indexed

About

Qing He is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Qing He has authored 37 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Cancer Research and 7 papers in Surgery. Recurrent topics in Qing He's work include Cancer-related molecular mechanisms research (7 papers), Autophagy in Disease and Therapy (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Qing He is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), Autophagy in Disease and Therapy (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Qing He collaborates with scholars based in China, Germany and United States. Qing He's co-authors include Qiang Ao, Yandao Gong, Xiufang Zhang, Aijun Wang, Wenling Cao, Lijun Kong, Xiufang Zhang, Yu Shi, Deqin Geng and Yufang Yan and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and ACS Applied Materials & Interfaces.

In The Last Decade

Qing He

37 papers receiving 858 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing He China 18 290 253 162 158 142 37 870
Hanna Hlawaty France 20 318 1.1× 210 0.8× 135 0.8× 160 1.0× 116 0.8× 33 1.0k
Kemal Baysal Türkiye 14 305 1.1× 176 0.7× 86 0.5× 123 0.8× 138 1.0× 33 853
David Y.B. Deng China 22 454 1.6× 240 0.9× 132 0.8× 152 1.0× 179 1.3× 48 1.4k
Émilie Velot France 19 477 1.6× 225 0.9× 138 0.9× 236 1.5× 167 1.2× 39 1.2k
Macarena Perán Spain 25 591 2.0× 265 1.0× 209 1.3× 315 2.0× 379 2.7× 77 1.7k
Mingming Xu China 19 405 1.4× 256 1.0× 121 0.7× 132 0.8× 465 3.3× 61 1.3k
Zhengang Zha China 20 341 1.2× 204 0.8× 129 0.8× 125 0.8× 209 1.5× 45 968
Jeoung Soo Lee United States 20 327 1.1× 243 1.0× 40 0.2× 160 1.0× 169 1.2× 42 976
Una Riekstiņa Latvia 20 614 2.1× 130 0.5× 213 1.3× 209 1.3× 181 1.3× 39 1.2k

Countries citing papers authored by Qing He

Since Specialization
Citations

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

Fields of papers citing papers by Qing He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing He

This figure shows the co-authorship network connecting the top 25 collaborators of Qing He. A scholar is included among the top collaborators of Qing He 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 Qing He. Qing He 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.
Zhang, Fan, Zhiwei Wu, Qing He, et al.. (2025). SOX4 reprograms fatty acid metabolism through the CHREBP to inhibit ferroptosis in hepatocellular carcinoma. Cell Death Discovery. 11(1). 246–246. 1 indexed citations
2.
Wang, Zhongguo, et al.. (2024). Amino functionalized zeolitic imidazolate framework-8 coated cellulose aerogel for enhanced air purification. Separation and Purification Technology. 355. 129741–129741. 8 indexed citations
3.
Li, Shao, Dong Chen, Deqin Geng, Qing He, & Yu Shi. (2022). Ginkgolide B inactivates the NLRP3 inflammasome by promoting autophagic degradation to improve learning and memory impairment in Alzheimer’s disease. Metabolic Brain Disease. 37(2). 329–341. 27 indexed citations
4.
He, Qing, et al.. (2021). The Auxiliary Diagnosis and Imaging Characteristics of MRI Combined with CT in Patients with Cholangiocarcinoma. Journal of Oncology. 2021. 1–5. 3 indexed citations
5.
He, Qing, et al.. (2021). Progress in Redirecting Antiparasitic Drugs for Cancer Treatment. Drug Design Development and Therapy. Volume 15. 2747–2767. 18 indexed citations
6.
Liang, Dan, Jianhong Zhu, Junyan Wu, et al.. (2021). Global research trends of drug-induced liver injury (DILI) in the past two decades: a bibliometric and visualized study. Annals of Palliative Medicine. 10(8). 8651–8664. 5 indexed citations
7.
Du, Xue, Xingzhao Wen, Hongyi Li, et al.. (2021). Whole-Transcriptome Sequence of Degenerative Meniscus Cells Unveiling Diagnostic Markers and Therapeutic Targets for Osteoarthritis. Frontiers in Genetics. 12. 754421–754421. 20 indexed citations
8.
Li, Shao, Dong Chen, Deqin Geng, Qing He, & Yu Shi. (2021). Ginkgolide B protects against cognitive impairment in senescence-accelerated P8 mice by mitigating oxidative stress, inflammation and ferroptosis. Biochemical and Biophysical Research Communications. 572. 7–14. 48 indexed citations
9.
10.
Zhou, Jing, Hao Liu, Lian Zhang, et al.. (2018). DJ-1 promotes colorectal cancer progression through activating PLAGL2/Wnt/BMP4 axis. Cell Death and Disease. 9(9). 865–865. 56 indexed citations
12.
Wang, Yitao, Chunxue Zhang, Yuelei Jin, et al.. (2017). Alkaline ceramidase 2 is a novel direct target of p53 and induces autophagy and apoptosis through ROS generation. Scientific Reports. 7(1). 44573–44573. 36 indexed citations
13.
Tan, Jinyun, Luoqi Jia, Weihao Shi, et al.. (2016). Rab5a-mediated autophagy regulates the phenotype and behavior of vascular smooth muscle cells. Molecular Medicine Reports. 14(5). 4445–4453. 14 indexed citations
14.
He, Qing, Qiang Ao, Zhen Wang, et al.. (2012). Investigation on the mechanisms for biocompatibility of chitosan using agarose/chitosan blended hydrogels as a model. 35(2). 65–69. 1 indexed citations
15.
Tan, Jinyun, Jianchuan Wen, Weihao Shi, et al.. (2012). Effect of microtopographic structures of silk fibroin on endothelial cell behavior. Molecular Medicine Reports. 7(1). 292–298. 4 indexed citations
16.
He, Qing, Qiang Ao, Yandao Gong, & Xiufang Zhang. (2011). Preparation of chitosan films using different neutralizing solutions to improve endothelial cell compatibility. Journal of Materials Science Materials in Medicine. 22(12). 2791–2802. 52 indexed citations
17.
Dirsch, Olaf, et al.. (2008). Induction of Rejection After Small-for-Size Liver Transplantation: Size Matters. Journal of Investigative Surgery. 21(5). 288–298. 11 indexed citations
18.
Wang, Aijun, Qiang Ao, Wenling Cao, et al.. (2006). Porous chitosan tubular scaffolds with knitted outer wall and controllable inner structure for nerve tissue engineering. Journal of Biomedical Materials Research Part A. 79A(1). 36–46. 85 indexed citations
19.
Ao, Qiang, Aijun Wang, Wenling Cao, et al.. (2005). Manufacture of multimicrotubule chitosan nerve conduits with novel molds and characterization in vitro. Journal of Biomedical Materials Research Part A. 77A(1). 11–18. 85 indexed citations
20.
Gu, Yanli, Olaf Dirsch, Uta Dahmen, et al.. (2005). Impact of Donor Gender on Male Rat Recipients of Small-for-Size Liver Grafts. Liver Transplantation. 11(6). 669–678. 13 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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