Ryan R. Cheng

2.8k total citations
40 papers, 1.4k citations indexed

About

Ryan R. Cheng is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, Ryan R. Cheng has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Materials Chemistry. Recurrent topics in Ryan R. Cheng's work include RNA and protein synthesis mechanisms (13 papers), Protein Structure and Dynamics (11 papers) and Genomics and Chromatin Dynamics (7 papers). Ryan R. Cheng is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), Protein Structure and Dynamics (11 papers) and Genomics and Chromatin Dynamics (7 papers). Ryan R. Cheng collaborates with scholars based in United States, Australia and Japan. Ryan R. Cheng's co-authors include José N. Onuchic, Dmitrii E. Makarov, Faruck Morcos, Peter G. Wolynes, Michele Di Pierro, Erez Lieberman Aiden, Herbert Levine, Kevin W. Plaxco, Takanori Uzawa and Armin Hoffmann and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Ryan R. Cheng

37 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan R. Cheng United States 19 1.1k 258 160 129 126 40 1.4k
M. Schiltz Switzerland 19 1.0k 0.9× 566 2.2× 114 0.7× 164 1.3× 145 1.2× 46 1.8k
Pablo D. Dans Spain 24 2.4k 2.2× 286 1.1× 190 1.2× 96 0.7× 120 1.0× 46 2.8k
Rosana Collepardo‐Guevara United Kingdom 30 2.2k 2.0× 233 0.9× 426 2.7× 46 0.4× 88 0.7× 69 2.8k
Andrzej J. Rzepiela Switzerland 12 939 0.9× 307 1.2× 265 1.7× 43 0.3× 39 0.3× 18 1.4k
Nikolay Korolev Singapore 29 2.0k 1.9× 108 0.4× 160 1.0× 73 0.6× 55 0.4× 72 2.4k
Jesse B. Hopkins United States 18 763 0.7× 502 1.9× 95 0.6× 48 0.4× 46 0.4× 50 1.4k
Marie Zgarbová Czechia 24 3.3k 3.1× 280 1.1× 242 1.5× 79 0.6× 171 1.4× 37 3.5k
Jaakko J. Uusitalo Netherlands 8 869 0.8× 303 1.2× 206 1.3× 121 0.9× 46 0.4× 12 1.3k
Abhishek Singharoy United States 23 1.0k 1.0× 294 1.1× 204 1.3× 46 0.4× 88 0.7× 76 1.5k
Soohyung Park United States 20 888 0.8× 141 0.5× 250 1.6× 54 0.4× 76 0.6× 41 1.4k

Countries citing papers authored by Ryan R. Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ryan R. Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan R. Cheng. 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 Ryan R. Cheng. The network helps show where Ryan R. Cheng may publish in the future.

Co-authorship network of co-authors of Ryan R. Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan R. Cheng. A scholar is included among the top collaborators of Ryan R. Cheng 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 Ryan R. Cheng. Ryan R. Cheng 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.
Lin, Xingcheng, et al.. (2024). Residue coevolution and mutational landscape for OmpR and NarL response regulator subfamilies. Biophysical Journal. 123(6). 681–692.
3.
Contessoto, Vinícius G., Ryan R. Cheng, & José N. Onuchic. (2022). Uncovering the statistical physics of 3D chromosomal organization using data-driven modeling. Current Opinion in Structural Biology. 75. 102418–102418. 13 indexed citations
4.
Cheng, Ryan R., et al.. (2021). Expanding Direct Coupling Analysis to Identify Heterodimeric Interfaces from Limited Protein Sequence Data. The Journal of Physical Chemistry B. 125(41). 11408–11417. 2 indexed citations
5.
He, Yao, Yaqiang Wang, Christina Helmling, et al.. (2021). Structures of telomerase at several steps of telomere repeat synthesis. Nature. 593(7859). 454–459. 46 indexed citations
6.
Basu, Ritwika, Catherine D. Eichhorn, Ryan R. Cheng, Robert D. Peterson, & Juli Feigon. (2020). Structure of S. pombe telomerase protein Pof8 C-terminal domain is an xRRM conserved among LARP7 proteins. RNA Biology. 18(8). 1181–1192. 11 indexed citations
7.
Contessoto, Vinícius G., Ryan R. Cheng, Erez Lieberman-Aiden, et al.. (2020). The Nucleome Data Bank: web-based resources to simulate and analyze the three-dimensional genome. Nucleic Acids Research. 49(D1). D172–D182. 25 indexed citations
8.
Cheng, Ryan R., Vinícius G. Contessoto, Erez Lieberman Aiden, et al.. (2020). Exploring chromosomal structural heterogeneity across multiple cell lines. eLife. 9. 45 indexed citations
9.
Hayes, Ryan L., et al.. (2019). Structure-Based Model of RNA Pseudoknot Captures Magnesium-Dependent Folding Thermodynamics. The Journal of Physical Chemistry B. 123(7). 1505–1511. 5 indexed citations
10.
Cheng, Ryan R., Ellinor Haglund, Faruck Morcos, et al.. (2018). Designing bacterial signaling interactions with coevolutionary landscapes. PLoS ONE. 13(8). e0201734–e0201734. 9 indexed citations
11.
Potoyan, Davit A., et al.. (2018). Prediction of Changes in Protein Folding Stability Upon Single Residue Mutations. Biophysical Journal. 114(3). 199a–199a. 1 indexed citations
12.
Pierro, Michele Di, Ryan R. Cheng, Erez Lieberman Aiden, Peter G. Wolynes, & José N. Onuchic. (2018). De Novo Prediction of Human Chromosome Structures: Epigenetic Marking Patterns Encode Genome Architecture. Biophysical Journal. 114(3). 597a–597a. 5 indexed citations
13.
Krepel, Dana, Ryan R. Cheng, Michele Di Pierro, & José N. Onuchic. (2018). Deciphering the structure of the condensin protein complex. Proceedings of the National Academy of Sciences. 115(47). 11911–11916. 15 indexed citations
14.
Pierro, Michele Di, Ryan R. Cheng, Erez Lieberman Aiden, Peter G. Wolynes, & José N. Onuchic. (2017). De novo prediction of human chromosome structures: Epigenetic marking patterns encode genome architecture. Proceedings of the National Academy of Sciences. 114(46). 12126–12131. 167 indexed citations
15.
Cheng, Ryan R., Ryan L. Hayes, Herbert Levine, et al.. (2016). Connecting the Sequence-Space of Bacterial Signaling Proteins to Phenotypes Using Coevolutionary Landscapes. Molecular Biology and Evolution. 33(12). 3054–3064. 47 indexed citations
16.
Easty, Anthony, N. Coakley, Ryan R. Cheng, et al.. (2015). Safe Handling of Cytotoxics: Guideline Recommendations. Current Oncology. 22(1). 27–37. 48 indexed citations
17.
Madsen, James A., Ryan R. Cheng, Tamer S. Kaoud, et al.. (2012). Charge‐Site‐Dependent Dissociation of Hydrogen‐Rich Radical Peptide Cations upon Vacuum UV Photoexcitation. Chemistry - A European Journal. 18(17). 5374–5383. 19 indexed citations
18.
Lam, Paul, et al.. (2011). Changes in Student Mobile Learning Readiness – Comparison of Survey Data Collected Over a Nine-month Period. Global Learn. 2011(1). 180–189. 3 indexed citations
19.
Cheng, Ryan R., Takanori Uzawa, Kevin W. Plaxco, & Dmitrii E. Makarov. (2010). Universality in the Timescales of Internal Loop Formation in Unfolded Proteins and Single-Stranded Oligonucleotides. Biophysical Journal. 99(12). 3959–3968. 17 indexed citations
20.
Grima, Daniel, et al.. (2002). PHP15 SURVIVAL RATES FOR PATIENTS RECEIVING TRANSFUSIONS IN THE UNITED STATES FROM AN ADMINISTRATIVE MANAGED CARE DATABASE. Value in Health. 5(3). 144–144. 2 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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