Chun Hong Yoon

3.0k total citations
41 papers, 1.1k citations indexed

About

Chun Hong Yoon is a scholar working on Radiation, Materials Chemistry and Structural Biology. According to data from OpenAlex, Chun Hong Yoon has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiation, 16 papers in Materials Chemistry and 14 papers in Structural Biology. Recurrent topics in Chun Hong Yoon's work include Advanced X-ray Imaging Techniques (25 papers), Enzyme Structure and Function (15 papers) and Advanced Electron Microscopy Techniques and Applications (14 papers). Chun Hong Yoon is often cited by papers focused on Advanced X-ray Imaging Techniques (25 papers), Enzyme Structure and Function (15 papers) and Advanced Electron Microscopy Techniques and Applications (14 papers). Chun Hong Yoon collaborates with scholars based in United States, Germany and United Kingdom. Chun Hong Yoon's co-authors include Henry N. Chapman, Anton Barty, Thomas A. White, Richard A. Kirian, Max F. Hantke, Filipe R. N. C. Maia, Oleksandr Yefanov, Cornelius Gati, Lorenzo Galli and A. Ourmazd and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Methods.

In The Last Decade

Chun Hong Yoon

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun Hong Yoon United States 16 659 454 385 358 70 41 1.1k
Ken Harada Japan 18 139 0.2× 134 0.3× 48 0.1× 305 0.9× 36 0.5× 105 1.1k
Scott Koranda United States 11 52 0.1× 88 0.2× 15 0.0× 95 0.3× 190 2.7× 20 761
J. Chavanne France 15 266 0.4× 262 0.6× 242 0.6× 40 0.1× 6 0.1× 72 1.3k
A. Mantero Italy 15 171 0.3× 743 1.6× 219 0.6× 3 0.0× 23 0.3× 34 1.5k
Siqi Li United States 13 22 0.0× 107 0.2× 30 0.1× 52 0.1× 19 0.3× 29 479
Wesley Armour United Kingdom 11 210 0.3× 22 0.0× 172 0.4× 13 0.0× 19 0.3× 41 539
V. Lindenstruth Germany 13 27 0.0× 28 0.1× 198 0.5× 19 0.1× 163 2.3× 72 660
Lloyd M. Davis United States 20 202 0.3× 16 0.0× 551 1.4× 54 0.2× 4 0.1× 73 1.7k
Richard Walker United Kingdom 22 21 0.0× 161 0.4× 99 0.3× 38 0.1× 9 0.1× 55 1.7k
Nikola Krstajić United Kingdom 22 65 0.1× 322 0.7× 133 0.3× 42 0.1× 2 0.0× 59 1.6k

Countries citing papers authored by Chun Hong Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Chun Hong Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun Hong Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Chun Hong Yoon. A scholar is included among the top collaborators of Chun Hong Yoon 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 Chun Hong Yoon. Chun Hong Yoon 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.
2.
Cheng, Peng, et al.. (2023). Bayesian experimental design and parameter estimation for ultrafast spin dynamics. Machine Learning Science and Technology. 4(4). 45056–45056.
3.
Ishigami, Izumi, Raymond G. Sierra, Ariana Peck, et al.. (2023). Structural insights into functional properties of the oxidized form of cytochrome c oxidase. Nature Communications. 14(1). 5752–5752. 27 indexed citations
4.
Nashed, Youssef S. G., Daniel Ratner, Aashwin Mishra, et al.. (2022). A machine learning photon detection algorithm for coherent x-ray ultrafast fluctuation analysis. Structural Dynamics. 9(5). 54302–54302. 1 indexed citations
5.
Esposito, Vincent, et al.. (2021). Absolute contrast estimation for soft X-ray photon fluctuation spectroscopy using a variational droplet model. Scientific Reports. 11(1). 19455–19455. 4 indexed citations
6.
Dasgupta, Medhanjali, Frédéric Poitevin, Irimpan I. Mathews, et al.. (2021). Reproducibility of protein x-ray diffuse scattering and potential utility for modeling atomic displacement parameters. Structural Dynamics. 8(4). 44701–44701. 2 indexed citations
7.
Nashed, Youssef S. G., Frédéric Poitevin, Harshit Gupta, et al.. (2021). CryoPoseNet: End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data. 4049–4059. 10 indexed citations
8.
Ayyer, Kartik, Andrew J. Morgan, Andrew Aquila, et al.. (2019). Low-signal limit of X-ray single particle diffractive imaging. Optics Express. 27(26). 37816–37816. 24 indexed citations
9.
Ciftci, Halil I., Raymond G. Sierra, Chun Hong Yoon, et al.. (2019). Serial Femtosecond X-Ray Diffraction of HIV-1 Gag MA-IP6 Microcrystals at Ambient Temperature. International Journal of Molecular Sciences. 20(7). 1675–1675. 7 indexed citations
10.
Cappello, Franck, Sheng Di, Sihuan Li, et al.. (2019). Use cases of lossy compression for floating-point data in scientific data sets. The International Journal of High Performance Computing Applications. 33(6). 1201–1220. 98 indexed citations
11.
Hutchison, C., Violeta Cordón-Preciado, Rhodri M. L. Morgan, et al.. (2017). X-ray Free Electron Laser Determination of Crystal Structures of Dark and Light States of a Reversibly Photoswitching Fluorescent Protein at Room Temperature. International Journal of Molecular Sciences. 18(9). 1918–1918. 10 indexed citations
12.
Thayer, J. B., D. S. Damiani, C. J. B. Ford, et al.. (2017). Data systems for the Linac coherent light source. PubMed. 3(1). 3–3. 18 indexed citations
13.
White, Thomas A., Valerio Mariani, W. Brehm, et al.. (2016). Recent developments in CrystFEL. Journal of Applied Crystallography. 49(2). 680–689. 162 indexed citations
14.
Stellato, Francesco, Dominik Oberthür, Mengning Liang, et al.. (2014). Room-temperature macromolecular serial crystallography using synchrotron radiation. IUCrJ. 1(4). 204–212. 192 indexed citations
15.
Barty, Anton, Richard A. Kirian, Filipe R. N. C. Maia, et al.. (2014). Cheetah: software for high-throughput reduction and analysis of serial femtosecond X-ray diffraction data. Journal of Applied Crystallography. 47(3). 1118–1131. 204 indexed citations
16.
Martin, Andrew V., Adrian J. D’Alfonso, Fenglin Wang, et al.. (2014). X-ray holography with a customizable reference. Nature Communications. 5(1). 4661–4661. 18 indexed citations
17.
Schwander, Peter, Dimitrios Giannakis, Chun Hong Yoon, & A. Ourmazd. (2012). The symmetries of image formation by scattering II Applications. Optics Express. 20(12). 12827–12827. 38 indexed citations
18.
Giannakis, Dimitrios, Peter Schwander, Chun Hong Yoon, & A. Ourmazd. (2010). The Symmetries of Image Formation by Scattering. arXiv (Cornell University). 21 indexed citations
19.
Yoon, Chun Hong, Jingyi Chen, Julian Maclaren, et al.. (2009). Determination of Myosin Filament Orientations in Electron Micrographs of Muscle Cross Sections. IEEE Transactions on Image Processing. 18(4). 831–839. 2 indexed citations
20.
Yoon, Chun Hong, et al.. (2001). Shoulder MRI refinements: Differentiation of rotator cuff tear from artifacts and tendonosis, and reassessment of normal findings. Seminars in Ultrasound CT and MRI. 22(4). 383–395. 25 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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