Syuan-Ming Guo

600 total citations
13 papers, 403 citations indexed

About

Syuan-Ming Guo is a scholar working on Biophysics, Molecular Biology and Structural Biology. According to data from OpenAlex, Syuan-Ming Guo has authored 13 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biophysics, 6 papers in Molecular Biology and 3 papers in Structural Biology. Recurrent topics in Syuan-Ming Guo's work include Advanced Fluorescence Microscopy Techniques (10 papers), Cell Image Analysis Techniques (4 papers) and Advanced Electron Microscopy Techniques and Applications (3 papers). Syuan-Ming Guo is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (10 papers), Cell Image Analysis Techniques (4 papers) and Advanced Electron Microscopy Techniques and Applications (3 papers). Syuan-Ming Guo collaborates with scholars based in United States, Singapore and Germany. Syuan-Ming Guo's co-authors include Mark Bathe, Nilah Monnier, Jun He, Péter Lénárt, Masashi Mori, Thorsten Wohland, Guangyu Sun, Jun He, Bryant B. Chhun and Yao‐Hung Tseng and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Analytical Chemistry.

In The Last Decade

Syuan-Ming Guo

13 papers receiving 397 citations

Peers

Countries citing papers authored by Syuan-Ming Guo

Since Specialization

Citations

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

Fields of papers citing papers by Syuan-Ming Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Syuan-Ming Guo. 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 Syuan-Ming Guo. The network helps show where Syuan-Ming Guo may publish in the future.

Co-authorship network of co-authors of Syuan-Ming Guo

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	DynaMorph: self-supervised learning of morphodynamic states of live cells 2022 ·Molecular Biology of the Cell ·Zhenqin Wu, Bryant B. Chhun, Galina Popova, Syuan-Ming Guo, Chang N. Kim, Li-Hao Yeh, Tomasz J. Nowakowski, James Zou, Shalin B. Mehta	24
2	uPTI: uniaxial permittivity tensor imaging of intrinsic density and anisotropy 2021 ·Li-Hao Yeh, Ivan E. Ivanov, Syuan-Ming Guo, Bryant B. Chhun, Ezzat Hashemi, May Han, Shalin B. Mehta	6
3	Revealing architectural order with quantitative label-free imaging and deep learning 2020 ·eLife ·Syuan-Ming Guo, Li-Hao Yeh, Jenny Folkesson, Ivan E. Ivanov, Anitha Priya Krishnan, Matthew G. Keefe, Ezzat Hashemi, David Shin, Bryant B. Chhun, Nathan Cho, Manuel D. Leonetti, May Han, Tomasz J. Nowakowski, Shalin B. Mehta	52
4	Multiplexed and high-throughput neuronal fluorescence imaging with diffusible probes 2019 ·Nature Communications ·Syuan-Ming Guo, Rémi Veneziano, Simon Gordonov, Li Li, Eric Danielson, Karen Perez de Arce, Demian Park, Anthony Kulesa, Eike‐Christian Wamhoff, Paul C. Blainey, Edward S. Boyden, Jeffrey R. Cottrell, Mark Bathe	59
5	DoGNet: A deep architecture for synapse detection in multiplexed fluorescence images 2019 ·PLoS Computational Biology ·V. A. Kulikov, Syuan-Ming Guo, Matthew Stone, Allen Goodman, Anne E. Carpenter, Mark Bathe, Victor Lempitsky	12
6	Multiplexed Imaging of Neuronal Synapses Using Nucleic Acid Probe Exchange 2018 ·Protocol Exchange ·Rémi Veneziano, Syuan-Ming Guo, Li Li, Simon Gordonov, Jeffrey R. Cottrell, Mark Bathe	1
7	Advancing multiscale structural mapping of the brain through fluorescence imaging and analysis across length scales 2015 ·Interface Focus ·(unknown), Syuan-Ming Guo, (unknown), Mark Bathe	7
8	Quantitative Multiplexed Super-Resolution Neuronal Synapse Imaging using DNA-Paint 2015 ·Biophysical Journal ·Syuan-Ming Guo, Rémi Veneziano, Russell E. McConnell, Sarit S. Agasti, Simon Gordonov, (unknown), Frank B. Gertler, Paul C. Blainey, Ed Boyden, Peng Yin, Mark Bathe	1
9	Bayesian Model Selection Applied to the Analysis of Fluorescence Correlation Spectroscopy Data of Fluorescent Proteinsin Vitroandin Vivo 2015 ·Analytical Chemistry ·Guangyu Sun, Syuan-Ming Guo, Cathleen Teh, Vladimir Korzh, Mark Bathe, Thorsten Wohland	19
10	Bayesian Approach to MSD-Based Analysis of Particle Motion in Live Cells 2012 ·Biophysical Journal ·Nilah Monnier, Syuan-Ming Guo, Masashi Mori, Jun He, Péter Lénárt, Mark Bathe	98
11	Bayesian Approach to the Analysis of Fluorescence Correlation Spectroscopy Data II: Application to Simulated and In Vitro Data 2012 ·Analytical Chemistry ·Syuan-Ming Guo, Jun He, Nilah Monnier, Guangyu Sun, Thorsten Wohland, Mark Bathe	41
12	Bayesian Approach to the Analysis of Fluorescence Correlation Spectroscopy Data I: Theory 2012 ·Analytical Chemistry ·Jun He, Syuan-Ming Guo, Mark Bathe	27
13	Adsorption of a Statherin Peptide Fragment on the Surface of Nanocrystallites of Hydroxyapatite 2008 ·Journal of the American Chemical Society ·(unknown), Yao‐Hung Tseng, Yun Mou, Yi‐Ling Tsai, Syuan-Ming Guo, Shing‐Jong Huang, Steve S.‐F. Yu, Jerry C. C. Chan	56

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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