Ricky B. Nellas

711 total citations
45 papers, 557 citations indexed

About

Ricky B. Nellas is a scholar working on Molecular Biology, Materials Chemistry and Atmospheric Science. According to data from OpenAlex, Ricky B. Nellas has authored 45 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Materials Chemistry and 8 papers in Atmospheric Science. Recurrent topics in Ricky B. Nellas's work include Protein Structure and Dynamics (11 papers), nanoparticles nucleation surface interactions (8 papers) and Enzyme Catalysis and Immobilization (6 papers). Ricky B. Nellas is often cited by papers focused on Protein Structure and Dynamics (11 papers), nanoparticles nucleation surface interactions (8 papers) and Enzyme Catalysis and Immobilization (6 papers). Ricky B. Nellas collaborates with scholars based in Philippines, United States and Taiwan. Ricky B. Nellas's co-authors include Bin Chen, Tongye Shen, Gladys C. Completo, Ruel C. Nacario, Gil C. Claudio, Hyun-Mi Kim, Bin Chen, J. Ilja Siepmann, Chun-I Wang and Chao‐Ping Hsu and has published in prestigious journals such as The Journal of Chemical Physics, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

Ricky B. Nellas

44 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ricky B. Nellas Philippines 15 205 141 122 76 67 45 557
Matthias De Vleeschouwer Belgium 15 367 1.8× 38 0.3× 68 0.6× 74 1.0× 14 0.2× 25 620
Rajiv K. Kar India 23 800 3.9× 148 1.0× 37 0.3× 31 0.4× 93 1.4× 80 1.3k
Marcos A. Villarreal Argentina 12 425 2.1× 82 0.6× 18 0.1× 94 1.2× 34 0.5× 31 650
Dmitry Nerukh United Kingdom 15 239 1.2× 127 0.9× 12 0.1× 159 2.1× 110 1.6× 78 623
Szilárd N. Fejer Hungary 12 163 0.8× 163 1.2× 12 0.1× 52 0.7× 38 0.6× 33 450
Elena Ermakova Russia 17 466 2.3× 84 0.6× 14 0.1× 114 1.5× 98 1.5× 63 922
T. Matsuzaki Japan 10 583 2.8× 170 1.2× 24 0.2× 27 0.4× 33 0.5× 19 879
Anirban Ghosh India 24 724 3.5× 101 0.7× 11 0.1× 93 1.2× 77 1.1× 48 1.3k
Clemens Rauer United Kingdom 10 430 2.1× 152 1.1× 11 0.1× 132 1.7× 14 0.2× 14 698
Joseph D. Ng United States 19 645 3.1× 585 4.1× 27 0.2× 24 0.3× 116 1.7× 47 1.0k

Countries citing papers authored by Ricky B. Nellas

Since Specialization
Citations

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

Fields of papers citing papers by Ricky B. Nellas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ricky B. Nellas. 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 Ricky B. Nellas. The network helps show where Ricky B. Nellas may publish in the future.

Co-authorship network of co-authors of Ricky B. Nellas

This figure shows the co-authorship network connecting the top 25 collaborators of Ricky B. Nellas. A scholar is included among the top collaborators of Ricky B. Nellas 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 Ricky B. Nellas. Ricky B. Nellas 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.
Nellas, Ricky B., et al.. (2026). Computational Insights into How Cationic Residue Length Tunes Antibacterial Activity in Ultrashort Histidine-Based Lipopeptides. Journal of Chemical Information and Modeling. 1 indexed citations
2.
Nellas, Ricky B., et al.. (2026). Side Chain Length in Lysine and Its Homologues Modulates Noncovalent Interactions in Histidine-Rich Peptides. The Journal of Physical Chemistry B. 1 indexed citations
4.
Fortuna, M., et al.. (2024). Computational reverse protein engineering of a lipase from Pseudomonas aeruginosa in n-hexane. 2. 100025–100025. 2 indexed citations
5.
Yu, Steve S.‐F., et al.. (2024). The importance of helical structures to the overall activity and structural stability of a lipase from Pseudomonas aeruginosa PAO1 in n-hexane. Archives of Biochemistry and Biophysics. 764. 110226–110226. 3 indexed citations
6.
Nellas, Ricky B., et al.. (2023). Complementary Pocket and Network-Based Approach to Search for Spike Protein Allosteric Pocket Sites. ACS Omega. 8(48). 45313–45325. 2 indexed citations
7.
Nellas, Ricky B., et al.. (2023). The role of glycerol–water mixtures in the stability of FKBP12-rapalog-FRB complexes. Journal of Molecular Graphics and Modelling. 124. 108556–108556.
8.
Mathavan, Indran, Sean W. Robinson, Ricky B. Nellas, et al.. (2022). Identification of Inhibitors of the Schistosoma mansoni VKR2 Kinase Domain. ACS Medicinal Chemistry Letters. 13(11). 1715–1722. 5 indexed citations
9.
Nellas, Ricky B., et al.. (2021). The effect of ligand affinity to the contact dynamics of the ligand binding domain of thyroid hormone receptor - retinoid X receptor. Journal of Molecular Graphics and Modelling. 104. 107829–107829. 5 indexed citations
10.
Nellas, Ricky B., et al.. (2021). Small in size, big on taste: Metabolomics analysis of flavor compounds from Philippine garlic. PLoS ONE. 16(5). e0247289–e0247289. 4 indexed citations
11.
Nellas, Ricky B., et al.. (2021). Sustainable Hues: Exploring the Molecular Palette of Biowaste Dyes through LC-MS Metabolomics. Molecules. 26(21). 6645–6645. 3 indexed citations
12.
Nellas, Ricky B., et al.. (2020). Computational reverse engineering of the lipase from Pseudomonas aeruginosa PAO1: α-helices. Journal of Molecular Graphics and Modelling. 100. 107657–107657. 8 indexed citations
14.
Wang, Chun-I, et al.. (2019). Machine Learning for Predicting Electron Transfer Coupling. The Journal of Physical Chemistry A. 123(36). 7792–7802. 51 indexed citations
15.
Yu, Eizadora T., et al.. (2019). Ligand-Induced Conformational Dynamics of A Tyramine Receptor from Sitophilus oryzae. Scientific Reports. 9(1). 16275–16275. 14 indexed citations
16.
Completo, Gladys C., et al.. (2019). Potential Inhibitors of Galactofuranosyltransferase 2 (GlfT2): Molecular Docking, 3D-QSAR, and In Silico ADMETox Studies. Scientific Reports. 9(1). 17096–17096. 72 indexed citations
17.
Nellas, Ricky B., et al.. (2019). Conformational dynamics of $$\alpha $$-conotoxin PnIB in complex solvent systems. Molecular Diversity. 24(4). 1291–1299. 2 indexed citations
18.
Nellas, Ricky B., et al.. (2019). In Silico insights on enhancing thermostability and activity of a plant Fructosyltransferase from Pachysandra terminalis via introduction of disulfide bridges. Journal of Molecular Graphics and Modelling. 89. 250–260. 4 indexed citations
19.
Nellas, Ricky B., et al.. (2013). Swimming motility plays a key role in the stochastic dynamics of cell clumping. Physical Biology. 10(2). 26005–26005. 6 indexed citations
20.
Nellas, Ricky B. & Bin Chen. (2007). Towards understanding the nucleation mechanism for multi-component systems: an atomistic simulation of the ternary nucleation of water/n-nonane/1-butanol. Physical Chemistry Chemical Physics. 10(4). 506–514. 11 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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