Qing Kong

535 total citations
55 papers, 385 citations indexed

About

Qing Kong is a scholar working on Pulmonary and Respiratory Medicine, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Qing Kong has authored 55 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 14 papers in Immunology and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Qing Kong's work include Advanced Radiotherapy Techniques (11 papers), Lung Cancer Diagnosis and Treatment (10 papers) and Viral Infections and Immunology Research (10 papers). Qing Kong is often cited by papers focused on Advanced Radiotherapy Techniques (11 papers), Lung Cancer Diagnosis and Treatment (10 papers) and Viral Infections and Immunology Research (10 papers). Qing Kong collaborates with scholars based in China, United States and Hong Kong. Qing Kong's co-authors include Weifeng Wu, Jingcheng Dong, Yujie Guo, Fan Yang, Yu Pang, Baojun Liu, Yanli Liu, Xiaofen Pan, Fei Xu and Yan Shao and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Radiation Oncology*Biology*Physics and Journal of Ethnopharmacology.

In The Last Decade

Qing Kong

43 papers receiving 385 citations

Peers

Countries citing papers authored by Qing Kong

Since Specialization

Citations

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

Fields of papers citing papers by Qing Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Kong. A scholar is included among the top collaborators of Qing Kong 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 Kong. Qing Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Celastrol enhanced CD8+T cell immunity in melanoma by targeting SHP2 and upregulating MHC-I 2025 ·Phytomedicine ·Qing Kong, Suqing Liu, (unknown), (unknown), (unknown), Ruilong Wang, Xiao Liu, Jinfeng Wu	0
2	Icariside II in NSCLC and COVID‐19: Network pharmacology and molecular docking study 2024 ·The Journal of Gene Medicine ·Qing Kong, (unknown), Jingcheng Dong, Baojun Liu	1
3	Predicting the error magnitude in patient-specific QA during radiotherapy based on ResNet 2024 ·Journal of X-Ray Science and Technology ·Ying Huang, (unknown), (unknown), (unknown), (unknown), (unknown), Yanhua Duan, Qing Kong, Weihai Zhuo, Zhiyong Xu	0
4	DelicacyNet for nutritional evaluation of recipes 2023 ·Frontiers in Nutrition ·Ruijie Li, (unknown), Qing Kong	0
5	Effects of arbuscular mycorrhizal fungi on microbial activity and nutrient release are sensitive to acid deposition during litter decomposition in a subtropical Cinnamomum camphora forest 2023 ·iForest - Biogeosciences and Forestry ·Can Wu, Xiang Kong, Xiangwei He, Yunqin Lin, Zhoutong He, Yang Gao, Qing Kong	3
6	AS-NeSt: A Novel 3D Deep Learning Model for Radiation Therapy Dose Distribution Prediction in Esophageal Cancer Treatment With Multiple Prescriptions 2023 ·International Journal of Radiation OncologyBiologyPhysics ·Yanhua Duan, Jiyong Wang, (unknown), Yan Shao, Hua Chen, Hao Wang, Hongbin Cao, (unknown), (unknown), Ying Huang, (unknown), Yang Lin, Qing Kong, Jun Liu, Hongxuan Li, Xiaolong Fu, Zhangru Yang, Xu‐Wei Cai, Zhiyong Xu	7
7	Improving CBCT image quality to the CT level using RegGAN in esophageal cancer adaptive radiotherapy 2023 ·Strahlentherapie und Onkologie ·(unknown), Xiao Liu, (unknown), Ying Huang, Hua Chen, (unknown), Yanhua Duan, Yan Shao, (unknown), (unknown), (unknown), Qing Kong, Zhiyong Xu, (unknown)	13
8	Icariside II potentiates the anti-PD-1 antitumor effect by reducing chemotactic infiltration of myeloid-derived suppressor cells into the tumor microenvironment via ROS-mediated inactivation of the SRC/ERK/STAT3 signaling pathways 2022 ·Phytomedicine ·Qing Kong, (unknown), (unknown), Suqing Liu, (unknown), Jinfeng Wu, Baojun Liu, Jingcheng Dong	22
9	Efficacy and safety of modified Bushen Yiqi formulas (MBYF) as an add-on to formoterol and budesonide in the management of COPD: study protocol for a multicentre, double-blind, placebo-controlled, parallel-group, randomized clinical trial: FB-MBYF Trial 2022 ·Trials ·Qing Kong, Yuxue Cao, Zhen Gao, Jing Sun, Hongying Zhang, Yijie Du, Yubao Lv, (unknown), Zihui Tang, Baojun Liu, Jingcheng Dong	5
10	Regression models for predicting physical and EQD2 plan parameters of two methods of hybrid planning for stage III NSCLC 2021 ·Radiation Oncology ·(unknown), (unknown), (unknown), Hua Chen, (unknown), Yanhua Duan, (unknown), Yan Shao, (unknown), Qing Kong, Zhiyong Xu	2
11	How Does the Gradient Measure of the Lung SBRT Treatment Plan Depend on the Tumor Volume and Shape? 2021 ·Frontiers in Oncology ·Yanhua Duan, (unknown), Hao Wang, (unknown), (unknown), (unknown), (unknown), Ying Huang, (unknown), Yan Shao, Tao Zhou, Qing Kong, Zhiyong Xu	1
12	Efficacy and safety of Jia Wei Bushen Yiqi formulas as an adjunct therapy to systemic glucocorticoids on acute exacerbation of COPD: study protocol for a randomized, double-blinded, multi-center, placebo-controlled clinical trial 2020 ·Trials ·Qing Kong, (unknown), Wenqian Wang, Zihui Tang, (unknown), Yijie Du, Baojun Liu, Lingwen Kong, Yubao Lv, Jingcheng Dong	6
13	A Real‐World Evidence Study for Distribution of Traditional Chinese Medicine Syndrome and Its Elements on Respiratory Disease 2018 ·Evidence-based Complementary and Alternative Medicine ·Fei Xu, (unknown), Qing Kong, Zihui Tang, Jingcheng Dong	11
14	Resistant mechanism of β-lactam antibiotic of invasive @(xt)Streptococcus pneumoniae 2014 ·Zhonghua jianyan yixue zazhi ·Tiandong Zhang, Qing Kong, Chun Wang, (unknown)	1
15	Pectolinarigenin - A Flavonoid Compound from <i>Cirsium Japonicum</i> with Potential Anti-proliferation Activity in MCF- 7 Breast Cancer Cell 2014 ·Tropical Journal of Pharmaceutical Research ·(unknown), Qing Kong, (unknown), Haojie Lu, Zhongxin Lu, Wenlong Yu, Bin Zuo, Jing Su, Rong Guo	21
16	Effect of interleukin-17A on myocardial fibrosis in mice with coxsackie-virus B3 viral myocarditis 2013 ·Qing Kong	1
17	IL-22 exacerbates the severity of CVB3-induced acute viral myocarditis in IL-17A-deficient mice 2013 ·Molecular Medicine Reports ·Qing Kong, (unknown), Weifeng Wu, Fan Yang, Yanli Liu, (unknown), (unknown), Xiaofen Pan	17
18	Increased Expressions of IL-22 and Th22 cells in the coxsackievirus B3-Induced mice acute viral myocarditis 2012 ·Virology Journal ·Qing Kong, Weifeng Wu, Fan Yang, Yanli Liu, (unknown), (unknown), (unknown), Xiaofen Pan, (unknown), Yu Pang, (unknown)	35
19	Nuclear translocation of telomerase reverse transcriptase: a critical process in chemical induced hepatocellular carcinogenesis 2010 ·Neoplasma ·(unknown), Qing Kong	7
20	THERMAL SIMULATION OF ORDOVICIAN SOURCE ROCK OF FORELAND BASIN IN WESTERN ORDOS 2006 ·Tianranqi diqiu kexue ·Qing Kong	1

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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