Fa-An Chao

749 total citations
19 papers, 513 citations indexed

About

Fa-An Chao is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Fa-An Chao has authored 19 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Spectroscopy and 6 papers in Materials Chemistry. Recurrent topics in Fa-An Chao's work include Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (6 papers) and Advanced NMR Techniques and Applications (4 papers). Fa-An Chao is often cited by papers focused on Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (6 papers) and Advanced NMR Techniques and Applications (4 papers). Fa-An Chao collaborates with scholars based in United States, Australia and Taiwan. Fa-An Chao's co-authors include R. Andrew Byrd, Gianluigi Veglia, Yuan-Hsiang Chang, Chin‐Kun Hu, Tai-huang Huang, Chung‐ke Chang, Yu‐Shan Huang, Youlin Xia, Jonggul Kim and Larry R. Masterson and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Fa-An Chao

19 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fa-An Chao United States 12 369 110 100 91 48 19 513
M. Geralt United States 12 313 0.8× 97 0.9× 74 0.7× 43 0.5× 36 0.8× 24 426
João M. C. Teixeira Spain 15 429 1.2× 59 0.5× 168 1.7× 92 1.0× 11 0.2× 32 645
Myungwoon Lee United States 11 314 0.9× 37 0.3× 83 0.8× 140 1.5× 12 0.3× 16 484
Dhabaleswar Patra United States 9 393 1.1× 82 0.7× 48 0.5× 61 0.7× 21 0.4× 13 610
Yuki Ohigashi United States 10 574 1.6× 69 0.6× 55 0.6× 113 1.2× 14 0.3× 11 806
Gabriel A. Cook United States 13 278 0.8× 28 0.3× 35 0.3× 115 1.3× 15 0.3× 21 441
Burak Kaynak United States 11 319 0.9× 49 0.4× 76 0.8× 29 0.3× 5 0.1× 18 415
Toru Ekimoto Japan 13 264 0.7× 102 0.9× 94 0.9× 69 0.8× 29 0.6× 39 487
Amanda L. Stouffer United States 5 584 1.6× 36 0.3× 63 0.6× 163 1.8× 8 0.2× 5 765
David S. Thiriot United States 12 242 0.7× 79 0.7× 66 0.7× 146 1.6× 27 0.6× 17 485

Countries citing papers authored by Fa-An Chao

Since Specialization
Citations

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

Fields of papers citing papers by Fa-An Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fa-An Chao. 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 Fa-An Chao. The network helps show where Fa-An Chao may publish in the future.

Co-authorship network of co-authors of Fa-An Chao

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

All Works

19 of 19 papers shown
1.
Cornilescu, Gabriel, Lakshman Bindu, Fa-An Chao, et al.. (2024). Natural Product Graveoline Modulates Kirsten Rat Sarcoma Viral Oncogene Homologue (KRAS) Membrane Association: Insights from Advanced Spectroscopic Studies. ACS Pharmacology & Translational Science. 7(7). 1983–1995. 2 indexed citations
2.
Chao, Fa-An & R. Andrew Byrd. (2024). Existence of Singularities in NMR Relaxation Dispersion Profiles: Implications for Hidden Dynamics. Journal of the American Chemical Society. 146(35). 24467–24475. 1 indexed citations
3.
Chao, Fa-An, Albert H. Chan, Srisathiyanarayanan Dharmaiah, et al.. (2023). Reduced dynamic complexity allows structure elucidation of an excited state of KRASG13D. Communications Biology. 6(1). 594–594. 11 indexed citations
4.
Chao, Fa-An, Srisathiyanarayanan Dharmaiah, Troy Taylor, et al.. (2022). Insights into the Cross Talk between Effector and Allosteric Lobes of KRAS from Methyl Conformational Dynamics. Journal of the American Chemical Society. 144(9). 4196–4205. 17 indexed citations
5.
Chao, Fa-An, et al.. (2022). Facilitating spectral analyses, simplification, and new tools through deep neural networks. SHILAP Revista de lepidopterología. 2(1). 56–58. 2 indexed citations
6.
Chao, Fa-An, et al.. (2021). Theoretical classification of exchange geometries from the perspective of NMR relaxation dispersion. Journal of Magnetic Resonance. 328. 107003–107003. 4 indexed citations
7.
Chao, Fa-An, et al.. (2020). Achieving pure spin effects by artifact suppression in methyl adiabatic relaxation experiments. Journal of Biomolecular NMR. 74(4-5). 223–228. 6 indexed citations
8.
Li, Jess, et al.. (2020). Optimization of sortase A ligation for flexible engineering of complex protein systems. Journal of Biological Chemistry. 295(9). 2664–2675. 30 indexed citations
9.
Chao, Fa-An, et al.. (2019). Probing the Broad Time Scale and Heterogeneous Conformational Dynamics in the Catalytic Core of the Arf-GAP ASAP1 via Methyl Adiabatic Relaxation Dispersion. Journal of the American Chemical Society. 141(30). 11881–11891. 13 indexed citations
10.
Chao, Fa-An & R. Andrew Byrd. (2018). Protein dynamics revealed by NMR relaxation methods. Emerging Topics in Life Sciences. 2(1). 93–105. 24 indexed citations
11.
Chao, Fa-An & R. Andrew Byrd. (2017). Application of geometric approximation to the CPMG experiment: Two- and three-site exchange. Journal of Magnetic Resonance. 277. 8–14. 9 indexed citations
12.
Kim, Jonggul, Lalima G. Ahuja, Fa-An Chao, et al.. (2017). A dynamic hydrophobic core orchestrates allostery in protein kinases. Science Advances. 3(4). e1600663–e1600663. 87 indexed citations
13.
Chao, Fa-An & R. Andrew Byrd. (2016). Geometric Approximation: A New Computational Approach To Characterize Protein Dynamics from NMR Adiabatic Relaxation Dispersion Experiments. Journal of the American Chemical Society. 138(23). 7337–7345. 22 indexed citations
14.
Chao, Fa-An, et al.. (2014). FLAMEnGO 2.0: An enhanced fuzzy logic algorithm for structure-based assignment of methyl group resonances. Journal of Magnetic Resonance. 245. 17–23. 38 indexed citations
15.
Traaseth, Nathaniel J., Fa-An Chao, Larry R. Masterson, et al.. (2012). Heteronuclear Adiabatic Relaxation Dispersion (HARD) for quantitative analysis of conformational dynamics in proteins. Journal of Magnetic Resonance. 219. 75–82. 16 indexed citations
16.
Chao, Fa-An, John Haugner, Leonardo N. Hagmann, et al.. (2012). Structure and dynamics of a primordial catalytic fold generated by in vitro evolution. Nature Chemical Biology. 9(2). 81–83. 62 indexed citations
17.
Chao, Fa-An, et al.. (2011). FLAMEnGO: A fuzzy logic approach for methyl group assignment using NOESY and paramagnetic relaxation enhancement data. Journal of Magnetic Resonance. 214(1). 103–110. 19 indexed citations
18.
Chao, Fa-An, et al.. (2009). Multiple Nucleic Acid Binding Sites and Intrinsic Disorder of SARS Coronavirus Nucleocapsid Protein - Implication for Ribonucleocapsid Protein Packaging. Journal of Virology. 2255–2264. 2 indexed citations
19.
Chang, Chung‐ke, Yuan-Hsiang Chang, Fa-An Chao, et al.. (2008). Multiple Nucleic Acid Binding Sites and Intrinsic Disorder of Severe Acute Respiratory Syndrome Coronavirus Nucleocapsid Protein: Implications for Ribonucleocapsid Protein Packaging. Journal of Virology. 83(5). 2255–2264. 148 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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