Rhonald C. Lua

1.5k total citations
26 papers, 1.1k citations indexed

About

Rhonald C. Lua is a scholar working on Molecular Biology, Genetics and Geometry and Topology. According to data from OpenAlex, Rhonald C. Lua has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Geometry and Topology. Recurrent topics in Rhonald C. Lua's work include Protein Structure and Dynamics (9 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Bioinformatics and Genomic Networks (5 papers). Rhonald C. Lua is often cited by papers focused on Protein Structure and Dynamics (9 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Bioinformatics and Genomic Networks (5 papers). Rhonald C. Lua collaborates with scholars based in United States, Russia and India. Rhonald C. Lua's co-authors include Alexander Y. Grosberg, Olivier Lichtarge, Angela D. Wilkins, R. Edwin Garcı́a, Stephen A. Langer, Andrew Reid, Panagiotis Katsonis, Serkan Erdin, David C. Marciano and Christophe Herman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Rhonald C. Lua

26 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rhonald C. Lua United States 18 562 168 144 123 112 26 1.1k
Eric J. Rawdon United States 19 665 1.2× 211 1.3× 89 0.6× 70 0.6× 200 1.8× 50 1.2k
Mariel Vázquez United States 17 732 1.3× 54 0.3× 184 1.3× 53 0.4× 178 1.6× 43 1.2k
Chihiro Hayashi Japan 16 309 0.5× 103 0.6× 49 0.3× 135 1.1× 67 0.6× 78 1.1k
Angelo Rosa Italy 22 842 1.5× 391 2.3× 77 0.5× 54 0.4× 336 3.0× 58 1.8k
Sònia Trigueros United Kingdom 15 525 0.9× 143 0.9× 94 0.7× 63 0.5× 377 3.4× 25 1.2k
Markko Myllys Finland 16 247 0.4× 109 0.6× 60 0.4× 77 0.6× 81 0.7× 32 1.0k
Irwin Tobias United States 22 543 1.0× 79 0.5× 23 0.2× 101 0.8× 289 2.6× 44 1.1k
Rita M. C. de Almeida Brazil 18 215 0.4× 308 1.8× 63 0.4× 35 0.3× 59 0.5× 78 1.1k
Václav Klika Czechia 21 185 0.3× 89 0.5× 47 0.3× 84 0.7× 69 0.6× 54 1.0k

Countries citing papers authored by Rhonald C. Lua

Since Specialization
Citations

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

Fields of papers citing papers by Rhonald C. Lua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rhonald C. Lua. 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 Rhonald C. Lua. The network helps show where Rhonald C. Lua may publish in the future.

Co-authorship network of co-authors of Rhonald C. Lua

This figure shows the co-authorship network connecting the top 25 collaborators of Rhonald C. Lua. A scholar is included among the top collaborators of Rhonald C. Lua 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 Rhonald C. Lua. Rhonald C. Lua 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.
Chen, Huaijin, et al.. (2019). Fast Retinomorphic Event-Driven Representations for Video Gameplay and Action Recognition. IEEE Transactions on Computational Imaging. 6. 276–290. 5 indexed citations
2.
Marciano, David C., Rhonald C. Lua, Christophe Herman, & Olivier Lichtarge. (2016). Cooperativity of Negative Autoregulation Confers Increased Mutational Robustness. Physical Review Letters. 116(25). 258104–258104. 10 indexed citations
3.
Wilkins, Angela D., et al.. (2016). DISCOVERY OF FUNCTIONAL AND DISEASE PATHWAYS BY COMMUNITY DETECTION IN PROTEIN-PROTEIN INTERACTION NETWORKS. PubMed. 22. 336–347. 7 indexed citations
4.
Lua, Rhonald C., et al.. (2015). UET: a database of evolutionarily-predicted functional determinants of protein sequences that cluster as functional sites in protein structures. Nucleic Acids Research. 44(D1). D308–D312. 24 indexed citations
5.
Marciano, David C., et al.. (2014). Negative Feedback in Genetic Circuits Confers Evolutionary Resilience and Capacitance. Cell Reports. 7(6). 1789–1795. 21 indexed citations
6.
Lua, Rhonald C., David C. Marciano, Panagiotis Katsonis, et al.. (2014). Prediction and redesign of protein–protein interactions. Progress in Biophysics and Molecular Biology. 116(2-3). 194–202. 22 indexed citations
7.
Homan, Erica P., Caressa Lietman, Ingo Grafe, et al.. (2014). Differential Effects of Collagen Prolyl 3-Hydroxylation on Skeletal Tissues. PLoS Genetics. 10(1). e1004121–e1004121. 28 indexed citations
8.
Katsonis, Panagiotis, Amanda Koire, Teng‐Kuei Hsu, et al.. (2014). Single nucleotide variations: Biological impact and theoretical interpretation. Protein Science. 23(12). 1650–1666. 87 indexed citations
9.
Erdin, Serkan, et al.. (2013). Prediction and experimental validation of enzyme substrate specificity in protein structures. Proceedings of the National Academy of Sciences. 110(45). E4195–202. 31 indexed citations
10.
Sepúlveda, Leonardo A., et al.. (2013). The Maternal-to-Zygotic Transition Targets Actin to Promote Robustness during Morphogenesis. PLoS Genetics. 9(11). e1003901–e1003901. 11 indexed citations
11.
Wilkins, Angela D., Eric Venner, David C. Marciano, et al.. (2013). Accounting for epistatic interactions improves the functional analysis of protein structures. Bioinformatics. 29(21). 2714–2721. 19 indexed citations
12.
Satory, Dominik, et al.. (2013). Characterization of a Novel RNA Polymerase Mutant That Alters DksA Activity. Journal of Bacteriology. 195(18). 4187–4194. 9 indexed citations
13.
Venner, Eric, et al.. (2012). ETAscape: analyzing protein networks to predict enzymatic function and substrates in Cytoscape. Bioinformatics. 28(16). 2186–2188. 5 indexed citations
14.
Adikesavan, Anbu Karani, Panagiotis Katsonis, David C. Marciano, et al.. (2011). Separation of Recombination and SOS Response in Escherichia coli RecA Suggests LexA Interaction Sites. PLoS Genetics. 7(9). e1002244–e1002244. 71 indexed citations
15.
Wilkins, Angela D., Serkan Erdin, Rhonald C. Lua, & Olivier Lichtarge. (2011). Evolutionary Trace for Prediction and Redesign of Protein Functional Sites. Methods in molecular biology. 819. 29–42. 50 indexed citations
16.
Wilkins, Angela D., Rhonald C. Lua, Serkan Erdin, R. Matthew Ward, & Olivier Lichtarge. (2010). Sequence and structure continuity of evolutionary importance improves protein functional site discovery and annotation. Protein Science. 19(7). 1296–1311. 17 indexed citations
17.
Reid, Andrew, et al.. (2009). Modeling Microstructures with OOF2 | NIST. International Journal of Materials and Product Technology. 35. 5 indexed citations
18.
Reid, Andrew, et al.. (2008). Image-based finite element mesh construction for material microstructures. Computational Materials Science. 43(4). 989–999. 88 indexed citations
19.
Lua, Rhonald C. & Alexander Y. Grosberg. (2006). Statistics of Knots, Geometry of Conformations, and Evolution of Proteins. PLoS Computational Biology. 2(5). e45–e45. 123 indexed citations
20.
Lua, Rhonald C. & Alexander Y. Grosberg. (2005). First passage times and asymmetry of DNA translocation. Physical Review E. 72(6). 61918–61918. 37 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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