Hongda Wang

6.1k total citations · 1 hit paper
219 papers, 4.5k citations indexed

About

Hongda Wang is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Biophysics. According to data from OpenAlex, Hongda Wang has authored 219 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Molecular Biology, 46 papers in Atomic and Molecular Physics, and Optics and 32 papers in Biophysics. Recurrent topics in Hongda Wang's work include Force Microscopy Techniques and Applications (45 papers), Lipid Membrane Structure and Behavior (39 papers) and Advanced Fluorescence Microscopy Techniques (30 papers). Hongda Wang is often cited by papers focused on Force Microscopy Techniques and Applications (45 papers), Lipid Membrane Structure and Behavior (39 papers) and Advanced Fluorescence Microscopy Techniques (30 papers). Hongda Wang collaborates with scholars based in China, United States and Hong Kong. Hongda Wang's co-authors include Mingjun Cai, Yuping Shan, Junguang Jiang, Haijiao Xu, Jing Gao, Stuart Lindsay, Xian Hao, Wenzhi Yang, Lulu Zhou and Yamini Dalal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Hongda Wang

211 papers receiving 4.5k citations

Hit Papers

Implantable hydrogels as ... 2025 2026 2025 5 10 15

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hongda Wang 2.5k 626 609 604 347 219 4.5k
Yasushi Kawata 2.2k 0.9× 946 1.5× 359 0.6× 327 0.5× 229 0.7× 205 3.8k
Chao Lü 2.3k 0.9× 810 1.3× 720 1.2× 296 0.5× 106 0.3× 109 5.4k
Kathy Qian Luo 2.3k 0.9× 2.4k 3.8× 1.5k 2.5× 112 0.2× 432 1.2× 126 6.1k
Tapani Viitala 2.3k 0.9× 417 0.7× 1.4k 2.3× 215 0.4× 111 0.3× 116 4.6k
Peter M. Tessier 3.4k 1.4× 842 1.3× 569 0.9× 342 0.6× 155 0.4× 106 5.3k
Tae-Hee Lee 2.1k 0.9× 414 0.7× 631 1.0× 117 0.2× 89 0.3× 119 3.6k
М. П. Кирпичников 4.2k 1.7× 406 0.6× 559 0.9× 175 0.3× 395 1.1× 435 6.1k
Xing Wang 2.4k 1.0× 351 0.6× 1.2k 2.0× 182 0.3× 88 0.3× 217 4.4k
Silvia Maria Doglia 2.6k 1.1× 326 0.5× 468 0.8× 193 0.3× 188 0.5× 106 4.4k
Ning Fang 1.9k 0.8× 1.6k 2.5× 2.3k 3.8× 366 0.6× 180 0.5× 187 5.5k

Countries citing papers authored by Hongda Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hongda Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongda Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hongda Wang. A scholar is included among the top collaborators of Hongda Wang 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 Hongda Wang. Hongda Wang 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.
Zhao, Hao, Dan Li, Chang Qi, et al.. (2025). A Fully Integrated Wearable Sweat Sensing Patch for Online Analysis of Multiple Parkinson's Disease‐Related Biomarkers. Advanced Materials. 37(34). e2504534–e2504534. 2 indexed citations
2.
Ji, Xin, Jinrui Zhang, Yu Qiu, et al.. (2025). Visualization of Mechanical Force Regulation of Exosome Secretion Using High Time-Spatial Resolution Imaging. Analytical Chemistry. 97(2). 1210–1220. 1 indexed citations
3.
Li, Xiaohang, Xue Li, Min Zhang, et al.. (2024). Phytochemistry, quality control and biosynthesis in ginseng research from 2021 to 2023: A state-of-the-art review concerning advances and challenges. Chinese Herbal Medicines. 16(4). 505–520. 8 indexed citations
4.
Chen, Junling, Yuwei Du, Hao Hou, et al.. (2024). Unveiling the Correlation Between the Membrane Assembly of P-gp and Drug Resistance in Multiple Myeloma Using Super-Resolution Fluorescence Imaging. Analytical Chemistry. 96(29). 11673–11681. 1 indexed citations
5.
Li, Siying, Hui Yang, Falin Tian, et al.. (2024). Unveiling the Dynamic Mechanism of SARS-CoV-2 Entry Host Cells at the Single-Particle Level. ACS Nano. 18(41). 27891–27904. 3 indexed citations
7.
Yang, Taili, Yaotian Yan, Jingxuan Li, et al.. (2023). Plasma-engineered Mo2C catalysts for high-activity hydrogen evolution reaction. Vacuum. 216. 112462–112462. 4 indexed citations
8.
Li, Hongru, Yong Liu, Jinrui Zhang, et al.. (2022). Quantification of mechanical stimuli inducing nucleoplasmic translocation of YAP and its distribution mechanism using an AFM–dSTORM coupled technique. Nanoscale. 14(41). 15516–15524. 6 indexed citations
9.
Li, Hao, Jing Gao, Lei Cao, et al.. (2021). A DNA Molecular Robot that Autonomously Walks on the Cell Membrane to Drive Cell Motility. Angewandte Chemie. 133(50). 26291–26299. 6 indexed citations
10.
Wang, Feng, Ting Zhang, Jing Gao, et al.. (2020). Aging‐associated changes in CD47 arrangement and interaction with thrombospondin‐1 on red blood cells visualized by super‐resolution imaging. Aging Cell. 19(10). e13224–e13224. 32 indexed citations
11.
Gao, Jing, Lingli He, Lulu Zhou, et al.. (2020). Mechanical force regulation of YAP by F-actin and GPCR revealed by super-resolution imaging. Nanoscale. 12(4). 2703–2714. 43 indexed citations
12.
Hao, Xian, Jingdong Zhang, Yifei Yang, Hongda Wang, & Qijin Chi. (2020). Single‐Molecule Interactions between Heme Proteins and Carboxylic Groups in Various Chemical Environments. ChemElectroChem. 7(21). 4441–4445. 1 indexed citations
13.
Jing, Yingying, Mingjun Cai, Lulu Zhou, et al.. (2020). Application of an inhibitor-based probe to reveal the distribution of membrane PSMA in dSTORM imaging. Chemical Communications. 56(86). 13241–13244. 2 indexed citations
14.
Zhang, Qingrong, Falin Tian, Fei Wang, et al.. (2020). Entry Dynamics of Single Ebola Virus Revealed by Force Tracing. ACS Nano. 14(6). 7046–7054. 21 indexed citations
15.
Zhou, Lulu, Jing Gao, Huili Wang, et al.. (2020). Correlative dual-color dSTORM/AFM reveals protein clusters at the cytoplasmic side of human bronchial epithelium membranes. Nanoscale. 12(18). 9950–9957. 12 indexed citations
16.
Wu, Qiang, Mingjun Cai, Jing Gao, et al.. (2019). Developing substrate-based small molecule fluorescent probes for super-resolution fluorescent imaging of various membrane transporters. Nanoscale Horizons. 5(3). 523–529. 12 indexed citations
17.
Jing, Yingying, Lulu Zhou, Jiayin Sun, et al.. (2019). Super-resolution imaging of cancer-associated carbohydrates using aptamer probes. Nanoscale. 11(31). 14879–14886. 12 indexed citations
18.
Yan, Qiuyan, Mingjun Cai, Lulu Zhou, et al.. (2018). Using an RNA aptamer probe for super-resolution imaging of native EGFR. Nanoscale Advances. 1(1). 291–298. 21 indexed citations
19.
Jing, Yingying, Mingjun Cai, Haijiao Xu, et al.. (2018). Aptamer-recognized carbohydrates on the cell membrane revealed by super-resolution microscopy. Nanoscale. 10(16). 7457–7464. 23 indexed citations
20.
Gao, Jing, Lingli He, Yan Shi, et al.. (2017). Cell contact and pressure control of YAP localization and clustering revealed by super-resolution imaging. Nanoscale. 9(43). 16993–17003. 16 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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