Qihua He

4.6k total citations
111 papers, 3.1k citations indexed

About

Qihua He is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Qihua He has authored 111 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 28 papers in Oncology and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Qihua He's work include Lung Cancer Treatments and Mutations (14 papers), Barrier Structure and Function Studies (9 papers) and Pluripotent Stem Cells Research (8 papers). Qihua He is often cited by papers focused on Lung Cancer Treatments and Mutations (14 papers), Barrier Structure and Function Studies (9 papers) and Pluripotent Stem Cells Research (8 papers). Qihua He collaborates with scholars based in China, United States and Romania. Qihua He's co-authors include Jinxing Lin, Ruili Li, Xiaojuan Li, Dong-Bin Niu, Fengqiao Li, Xianyu Liu, Jianxing He, Wenhua Liang, Xiaohong Fang and Xiaomin Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Qihua He

110 papers receiving 3.0k citations

Peers

Qihua He
Zhihao Wu China
Ying Song China
Guido Lenz Brazil
Cong Cao China
Juan Du China
Pu Wang China
Jia Lu Singapore
Zhihao Wu China
Qihua He
Citations per year, relative to Qihua He Qihua He (= 1×) peers Zhihao Wu

Countries citing papers authored by Qihua He

Since Specialization
Citations

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

Fields of papers citing papers by Qihua He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qihua He

This figure shows the co-authorship network connecting the top 25 collaborators of Qihua He. A scholar is included among the top collaborators of Qihua 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 Qihua He. Qihua 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.
Li, Haibing, Jia‐Zeng Su, Wei Pan, et al.. (2025). Loss of tricellular tight junction tricellulin leads to hyposalivation in Sjögren’s syndrome. International Journal of Oral Science. 17(1). 22–22.
2.
Wang, Chengdong, Nan Yan, Yuan Zhou, et al.. (2024). Morphological Characteristics of Retinal Ganglion Cells in the Retinas of Giant Pandas (Ailuropoda melanoleuca). The Journal of Comparative Neurology. 532(8). e25661–e25661. 1 indexed citations
3.
He, Qihua, Jun Liu, Xiuyu Cai, et al.. (2021). Comparison of first-generation EGFR-TKIs (gefitinib, erlotinib, and icotinib) as adjuvant therapy in resected NSCLC patients with sensitive EGFR mutations. Translational Lung Cancer Research. 10(11). 4120–4129. 9 indexed citations
4.
Lv, Zheng, Zhongwei Man, Hongtu Cui, et al.. (2020). Red AIE Luminogens with Tunable Organelle Specific Anchoring for Live Cell Dynamic Super Resolution Imaging. Advanced Functional Materials. 31(10). 53 indexed citations
5.
Zhang, Xue, Shiyi Li, Xu Wang, et al.. (2020). Improving Brightness and Stability of Si-Rhodamine for Super-Resolution Imaging of Mitochondria in Living Cells. Analytical Chemistry. 92(18). 12137–12144. 27 indexed citations
6.
Man, Zhongwei, Zheng Lv, Zhenzhen Xu, et al.. (2019). Organic nanoparticles with ultrahigh stimulated emission depletion efficiency for low-power STED nanoscopy. Nanoscale. 11(27). 12990–12996. 15 indexed citations
7.
Wang, Chuanfu, Lei Zhang, Xin Huang, et al.. (2019). Maximizing sinusoidal channels of HZSM-5 for high shape-selectivity to p-xylene. Nature Communications. 10(1). 4348–4348. 167 indexed citations
8.
Lin, Xin, Ming Cui, Dong Xu, et al.. (2018). Liver-specific deletion of Eva1a/Tmem166 aggravates acute liver injury by impairing autophagy. Cell Death and Disease. 9(7). 768–768. 26 indexed citations
9.
Zhan, Rui, Mingming Zhao, Ting Zhou, et al.. (2018). Dapsone protects brain microvascular integrity from high-fat diet induced LDL oxidation. Cell Death and Disease. 9(6). 683–683. 29 indexed citations
10.
Shen, Jianfei, Liping Liu, Lanlan Shan, et al.. (2018). Impact of examined lymph node counts on survival of patients with stage IA non-small cell lung cancer undergoing sublobar resection. Journal of Thoracic Disease. 10(12). 6569–6577. 11 indexed citations
11.
Chen, Xuewei, Liping Liu, Zhihua Guo, et al.. (2017). UGT1A1 polymorphisms with irinotecan-induced toxicities and treatment outcome in Asians with Lung Cancer: a meta-analysis. Cancer Chemotherapy and Pharmacology. 79(6). 1109–1117. 26 indexed citations
12.
Zeng, Yuan, Jiaxi He, Jianrong Zhang, et al.. (2016). Adoptive Immunotherapy in Postoperative Non-Small-Cell Lung Cancer: A Systematic Review and Meta-Analysis. PLoS ONE. 11(9). e0162630–e0162630. 5 indexed citations
13.
Li, Xiaojuan, Jingjing Xing, Zongbo Qiu, Qihua He, & Jinxing Lin. (2016). Quantification of Membrane Protein Dynamics and Interactions in Plant Cells by Fluorescence Correlation Spectroscopy. Molecular Plant. 9(9). 1229–1239. 31 indexed citations
14.
He, Qihua, Mingzhe Zhang, Jianrong Zhang, et al.. (2016). Predictive value of BRCA1 expression on the efficacy of chemotherapy based on anti-microtubule agents: a pooled analysis across different malignancies and agents. Annals of Translational Medicine. 4(6). 110–110. 2 indexed citations
15.
Hu, Jia, Ge Li, Liujing Qu, et al.. (2016). TMEM166/EVA1A interacts with ATG16L1 and induces autophagosome formation and cell death. Cell Death and Disease. 7(8). e2323–e2323. 46 indexed citations
16.
Dai, Wenbing, Fang Yang, Ling Ma, et al.. (2014). Combined mTOR inhibitor rapamycin and doxorubicin-loaded cyclic octapeptide modified liposomes for targeting integrin α3 in triple-negative breast cancer. Biomaterials. 35(20). 5347–5358. 83 indexed citations
17.
Liu, Xujie, Weihua Wu, Feng Yin, et al.. (2013). A Minority Subpopulation of CD133+/EGFRvIII+/EGFR Cells Acquires Stemness and Contributes to Gefitinib Resistance. CNS Neuroscience & Therapeutics. 19(7). 494–502. 17 indexed citations
18.
Liu, Xianyu, Yanli Pan, Xibin Liang, et al.. (2004). Electro-acupuncture stimulation protects dopaminergic neurons from inflammation-mediated damage in medial forebrain bundle-transected rats. Experimental Neurology. 189(1). 189–196. 58 indexed citations
19.
Wang, Xuan, Yanyan Lu, Huanqing Zhang, et al.. (2004). Distinct efficacy of pre‐differentiated versus intact fetal mesencephalon‐derived human neural progenitor cells in alleviating rat model of Parkinson's disease. International Journal of Developmental Neuroscience. 22(4). 175–183. 40 indexed citations
20.
Li, Fengqiao, Xiaoxin Cheng, Xibin Liang, et al.. (2002). Neurotrophic and Neuroprotective Effects of Tripchlorolide, an Extract of Chinese Herb Tripterygium wilfordii Hook F, on Dopaminergic Neurons. Experimental Neurology. 179(1). 28–37. 53 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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