Hong Shan

55.5k total citations · 6 hit papers
93 papers, 8.5k citations indexed

About

Hong Shan is a scholar working on Molecular Biology, Infectious Diseases and Biomedical Engineering. According to data from OpenAlex, Hong Shan has authored 93 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 19 papers in Infectious Diseases and 19 papers in Biomedical Engineering. Recurrent topics in Hong Shan's work include COVID-19 Clinical Research Studies (16 papers), Nanoplatforms for cancer theranostics (13 papers) and SARS-CoV-2 and COVID-19 Research (10 papers). Hong Shan is often cited by papers focused on COVID-19 Clinical Research Studies (16 papers), Nanoplatforms for cancer theranostics (13 papers) and SARS-CoV-2 and COVID-19 Research (10 papers). Hong Shan collaborates with scholars based in China, United States and Macao. Hong Shan's co-authors include Kunwei Li, Mingqian Huang, Shaolin Li, Xueyan Mei, Adam Jacobi, Yang Yang, Adam Bernheim, Michael Chung, Zahi A. Fayad and Ning Zhang and has published in prestigious journals such as Nature Communications, Nano Letters and ACS Nano.

In The Last Decade

Hong Shan

93 papers receiving 8.4k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)

2020 1.9k citations Hong Shan et al. profile →
Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection

2020 1.7k citations Hong Shan et al. profile →
Gastrointestinal symptoms of 95 cases with SARS-CoV-2 infection

2020 642 citations Hong Shan et al. profile →
Crystal structure of SARS-CoV-2 nucleocapsid protein RNA binding domain reveals potential unique drug targeting sites

2020 449 citations Sisi Kang, Mei Yang et al. Acta Pharmaceutica Sinica B profile →
Impact of coronavirus disease 2019 on pulmonary function in early convalescence phase

2020 370 citations Yiying Huang, Cuiyan Tan et al. Respiratory Research profile →
The relationship between autophagy and the immune system and its applications for tumor immunotherapy

2019 291 citations Guanmin Jiang, Hong Shan et al. Molecular Cancer profile →

Peers

Countries citing papers authored by Hong Shan

Since Specialization

Citations

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

Fields of papers citing papers by Hong Shan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Shan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Multifunctional nanomicelles constructed via an aggregation and de-aggregation strategy for magnetic resonance/NIR II fluorescence imaging-guided type I photodynamic therapy 2023 ·Materials Chemistry Frontiers ·Lirong Wang, Ji Qi, Ke Zhang, Zeyan Zhuang, Keke Ding, Xu Chen, Hong Shan, Dan Ding, Anjun Qin, Ben Zhong Tang	8
2	Carbon Dots-Based Nanozyme for Drug-Resistant Lung Cancer Therapy by Encapsulated Doxorubicin/siRNA Cocktail 2023 ·International Journal of Nanomedicine ·Hailing Yu, Kexin Tang, Zeyu Cai, Xi Lin, Yongquan Huang, Ting Yu, Qianqian Zhang, Qiang Wang, Lili Wu, (unknown), Hong Shan, Hui Luo	28
3	Visualisation of pelvic autonomic nerves using NIR-II fluorescence imaging 2022 ·European Journal of Nuclear Medicine and Molecular Imaging ·(unknown), (unknown), Shuang Hou, (unknown), Kunshan He, (unknown), (unknown), Zeyu Zhang, Chongwei Chi, Zhenhua Hu, Hong Shan, Jie Tian	10
4	Altered oral and gut microbiota and its association with SARS-CoV-2 viral load in COVID-19 patients during hospitalization 2021 ·npj Biofilms and Microbiomes ·Yongjian Wu, Xiaomin Cheng, Guanmin Jiang, (unknown), Siqi Ming, Lantian Tang, Jiahai Lu, Cheng Guo, Hong Shan, Xi Huang	139
5	The Role of Pretreatment 18F-FDG PET/CT for Early Prediction of Neoadjuvant Chemotherapy Response in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma 2021 ·Drug Design Development and Therapy ·(unknown), Ying Wang, Yujing Lin, Yingying Yang, Jingjing Wan, Xiaohua Gong, (unknown), Wangjian Zhang, (unknown), Siyang Wang, Hongjun Jin, Hong Shan	6
6	<p>Effect of <em>SARS-CoV-2</em> Infection on the Microbial Composition of Upper Airway</p> 2020 ·Infection and Drug Resistance ·Zhenguo Wang, (unknown), Zhonghe Li, Changli Tu, Yiming Wang, Pengfei Pang, (unknown), Xiaobin Zheng, Yingjian Liang, Hong Shan, Jing Liu	5
7	Impact of coronavirus disease 2019 on pulmonary function in early convalescence phase breakdown → 2020 ·Respiratory Research ·Yiying Huang, Cuiyan Tan, Jian Wu, Meizhu Chen, Zhenguo Wang, Liyun Luo, Xiaorong Zhou, Xinran Liu, Xiaoling Huang, (unknown), Chaolin Chen, Gao Fen, Jin Huang, Hong Shan, Jing Liu	370
8	Crystal structure of SARS-CoV-2 nucleocapsid protein RNA binding domain reveals potential unique drug targeting sites breakdown → 2020 ·Acta Pharmaceutica Sinica B ·Sisi Kang, Mei Yang, Zhongsi Hong, Liping Zhang, Zhaoxia Huang, Xiaoxue Chen, Suhua He, Ziliang Zhou, Zhechong Zhou, Qiuyue Chen, Yan Yan, Changsheng Zhang, Hong Shan, Shoudeng Chen	449
9	A new method of near-infrared fluorescence image-guided hepatectomy for patients with hepatolithiasis: a randomized controlled trial 2020 ·Surgical Endoscopy ·Kunshan He, Xiaopeng Hong, Chongwei Chi, Chaonong Cai, Kun Wang, Peiping Li, Xialei Liu, Jian Li, Hong Shan, Jie Tian	24
10	Targeted arsenite-loaded magnetic multifunctional nanoparticles for treatment of hepatocellular carcinoma 2019 ·Nanotechnology ·Xiaoqin Chi, Renyuan Zhang, (unknown), Xuanqing Gong, Ruixue Wei, Zhenyu Yin, Hongyu Lin, Dan Li, Hong Shan, Jinhao Gao	38
11	m6A-induced lncRNA RP11 triggers the dissemination of colorectal cancer cells via upregulation of Zeb1 2019 ·Molecular Cancer ·Yingmin Wu, Xiangling Yang, Zhuojia Chen, Lin Tian, Guanmin Jiang, Feng Chen, Jiexin Li, Panpan An, Linlin Lu, Nan Luo, Jun Du, Hong Shan, Huanliang Liu, Hongsheng Wang	307
12	Tumor Vasculatures: A New Target for Cancer Immunotherapy 2019 ·Trends in Pharmacological Sciences ·Zhigang Liu, Yifan Wang, Yuhui Huang, Betty Y.S. Kim, Hong Shan, Depei Wu, Wen Jiang	92
13	ZnAs@SiO₂ nanoparticles as a potential anti-tumor drug for targeting stemness and epithelial-mesenchymal transition in hepatocellular carcinoma via SHP-1/JAK2/STAT3 signaling 2019 ·Theranostics ·Yongquan Huang, Bin Zhou, Hui Luo, Junjie Mao, Yin Huang, Ke Zhang, Chaoming Mei, Yan Yan, Hongjun Jin, Jinhao Gao, Zhongzhen Su, Pengfei Pang, Dan Li, Hong Shan	67
14	Characterizing viscoelastic properties of breast cancer tissue in a mouse model using indentation 2018 ·Journal of Biomechanics ·(unknown), Xuefeng Zhao, (unknown), Jianfeng Zeng, Shuangqing Chen, Lei Chen, Meng You, Biao Liu, Hong Shan, Mingyuan Gao, Yuan Feng	33
15	Preoperative radiomic signature based on multiparametric magnetic resonance imaging for noninvasive evaluation of biological characteristics in rectal cancer 2018 ·European Radiology ·Xiaochun Meng, Wei Xia, Peiyi Xie, Rui Zhang, Wenjun Li, Mengmeng Wang, Fei Xiong, (unknown), Xinjuan Fan, (unknown), Xiang‐Bo Wan, Kangshun Zhu, Hong Shan, Lei Wang, Xin Gao	114
16	Clustering of Non-communicable Diseases Risk Factors in Healthy Adults Aged 35 Years and Older in Shenzhen, China. 2017 ·PubMed ·(unknown), Jian Xu, (unknown), Xiaoli Liu, Yang Li, (unknown), (unknown), (unknown), Hong Shan, (unknown)	3
17	A novel lamin A/C gene missense mutation (445 V > E) in immunoglobulin-like fold associated with left ventricular non-compaction 2015 ·EP Europace ·(unknown), Hong Shan, Jian Huang, (unknown), (unknown), Jielin Pu	18
18	The Heterologous Expression of the Chrysanthemum R2R3-MYB Transcription Factor CmMYB1 Alters Lignin Composition and Represses Flavonoid Synthesis in Arabidopsis thaliana 2013 ·PLoS ONE ·Lu Zhu, Hong Shan, Sumei Chen, Jiafu Jiang, Chunsun Gu, Guoqin Zhou, Yu Chen, Aiping Song, Fadi Chen	70
19	Regional changes of T2 relaxation on porcine patellar cartilages in vitro by means of degradation enzymatically at 7.0T MR 2009 ·Zhongguo yixue yingxiang jishu ·(unknown), Hong Shan, (unknown), Steffen Ringgaard, (unknown), (unknown), (unknown), Hans Stødkilde‐Jørgensen, Cody Bünger	1
20	Effect of adenosine on adenosine triphosphate-sensitive potassium channel during hypoxia in rat hippocampal neurons 2000 ·Neuroscience Letters ·Hong Shan, (unknown)	10

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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