Shangguo Hou

1.0k total citations · 1 hit paper
28 papers, 733 citations indexed

About

Shangguo Hou is a scholar working on Biophysics, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Shangguo Hou has authored 28 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biophysics, 9 papers in Molecular Biology and 9 papers in Biomedical Engineering. Recurrent topics in Shangguo Hou's work include Advanced Fluorescence Microscopy Techniques (17 papers), Near-Field Optical Microscopy (5 papers) and Photoacoustic and Ultrasonic Imaging (4 papers). Shangguo Hou is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (17 papers), Near-Field Optical Microscopy (5 papers) and Photoacoustic and Ultrasonic Imaging (4 papers). Shangguo Hou collaborates with scholars based in China and United States. Shangguo Hou's co-authors include Kevin Welsher, Siddharth Patel, Cosmin Mihai, Tatiana Ketova, Gaurav Sahay, John L. Joyal, N. Ashwanikumar, Joseph P. Griffith, Örn Almarsson and Yan Xia and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Shangguo Hou

26 papers receiving 719 citations

Hit Papers

Naturally-occurring cholesterol analogues in lipid nanopa... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shangguo Hou China 10 512 147 144 89 60 28 733
Robert J. Rawle United States 13 494 1.0× 56 0.4× 115 0.8× 56 0.6× 59 1.0× 21 670
Yimin Miao United States 11 235 0.5× 48 0.3× 99 0.7× 27 0.3× 99 1.6× 14 583
Justin L. Lorieau United States 14 559 1.1× 49 0.3× 57 0.4× 41 0.5× 33 0.6× 26 923
Dan Bracha United States 11 1.2k 2.4× 26 0.2× 132 0.9× 75 0.8× 113 1.9× 13 1.6k
Anders Barth Germany 17 516 1.0× 116 0.8× 95 0.7× 15 0.2× 28 0.5× 30 701
Sultan Doğanay United States 9 283 0.6× 29 0.2× 36 0.3× 69 0.8× 88 1.5× 10 567
Jean‐Pierre Clamme France 11 424 0.8× 76 0.5× 70 0.5× 26 0.3× 20 0.3× 12 545
Klaus Eyer Switzerland 19 487 1.0× 68 0.5× 533 3.7× 135 1.5× 18 0.3× 46 1.0k
María Josefa Rodríguez Spain 11 300 0.6× 27 0.2× 111 0.8× 42 0.5× 20 0.3× 17 686
Matthew B. Stone United States 9 615 1.2× 118 0.8× 222 1.5× 148 1.7× 25 0.4× 11 937

Countries citing papers authored by Shangguo Hou

Since Specialization
Citations

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

Fields of papers citing papers by Shangguo Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangguo Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Shangguo Hou. A scholar is included among the top collaborators of Shangguo Hou 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 Shangguo Hou. Shangguo Hou 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.
Sha, Hao, Yongbing Zhang, Ran Liu, et al.. (2025). Single molecule spectrum dynamics imaging with 3D target-locking tracking. Nature Communications. 16(1). 8686–8686. 1 indexed citations
2.
Sha, Hao, Ri Zhou, Yu Wu, et al.. (2025). Rational development of Nile red derivatives with significantly improved specificity and photostability for advanced fluorescence imaging of lipid droplets. Biosensors and Bioelectronics. 282. 117494–117494. 2 indexed citations
3.
Qin, Shiyi, Huimin Liu, Xiaoli Wang, et al.. (2025). Binding memory of liquid molecules. Nature Communications. 16(1). 6555–6555. 1 indexed citations
4.
Liu, Ran, Peng Lu, Weiming Tian, et al.. (2025). Review of Machine Learning for Single-Particle Tracking: Methods, Challenges, and Biophysical Insights. Chemical & Biomedical Imaging.
5.
Zhou, Ri, Sha Hao, Guannan Liu, et al.. (2025). Hyperspectral Fluorescence Imaging with a New Polarity‐Ultrasensitive Fluorescent Probe. Advanced Science. 12(35). e08792–e08792. 1 indexed citations
6.
Li, Qian, et al.. (2024). Deciphering live-cell biomolecular dynamics with single-molecule fluorescence imaging. Science Bulletin. 69(12). 1823–1828. 6 indexed citations
7.
Wang, Zhong, Wenbo Zhang, Yandong Sun, et al.. (2024). Three-dimensional random-access confocal microscopy with 3D remote focusing system. SHILAP Revista de lepidopterología. 3(1). 166–166. 3 indexed citations
8.
Sha, Hao, Yongbing Zhang, Shuai Liu, et al.. (2024). Reliable deep learning in anomalous diffusion against out-of-distribution dynamics. Nature Computational Science. 4(10). 761–772. 5 indexed citations
9.
Hou, Shangguo, Suhui Deng, Le Liang, et al.. (2024). Scanning Switch-off Microscopy for Super-Resolution Fluorescence Imaging. Nano Letters. 24(39). 12125–12132. 3 indexed citations
10.
Sha, Hao, et al.. (2023). Deep learning-enhanced single-molecule spectrum imaging. APL Photonics. 8(9). 8 indexed citations
11.
Zhong, Dongping, et al.. (2023). Study liquid–liquid phase separation with optical microscopy: A methodology review. APL Bioengineering. 7(2). 21502–21502. 20 indexed citations
12.
Tan, Xiaochen, et al.. (2023). Active-Feedback 3D Single-Molecule Tracking Using a Fast-Responding Galvo Scanning Mirror. The Journal of Physical Chemistry A. 127(30). 6320–6328. 2 indexed citations
13.
Tan, Xiaochen, et al.. (2023). In situ characterization of nanoparticle protein corona using real-time 3D single-particle tracking. Biophysical Journal. 122(3). 152a–153a. 1 indexed citations
14.
Hou, Shangguo, et al.. (2020). Active Feedback 3D Single-Molecule Tracking. Biophysical Journal. 118(3). 331a–331a.
15.
Hou, Shangguo, et al.. (2020). Real-time 3D single molecule tracking. Nature Communications. 11(1). 3607–3607. 66 indexed citations
16.
Patel, Siddharth, N. Ashwanikumar, Yan Xia, et al.. (2020). Naturally-occurring cholesterol analogues in lipid nanoparticles induce polymorphic shape and enhance intracellular delivery of mRNA. Nature Communications. 11(1). 983–983. 424 indexed citations breakdown →
17.
Hou, Shangguo, et al.. (2019). Real-Time 3D Single Particle Tracking: Towards Active Feedback Single Molecule Spectroscopy in Live Cells. Molecules. 24(15). 2826–2826. 32 indexed citations
18.
Hou, Shangguo & Kevin Welsher. (2019). An Adaptive Real‐Time 3D Single Particle Tracking Method for Monitoring Viral First Contacts. Small. 15(44). e1903039–e1903039. 19 indexed citations
19.
Hou, Shangguo, Xiaoqi Lang, & Kevin Welsher. (2017). Robust real-time 3D single-particle tracking using a dynamically moving laser spot. Optics Letters. 42(12). 2390–2390. 42 indexed citations
20.
Du, Juan, Suhui Deng, Shangguo Hou, et al.. (2014). Superresolution imaging of DNA tetrahedral nanostructures in cells by STED method with continuous wave lasers. Chinese Optics Letters. 12(4). 41101–41104. 3 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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