Richard Mariadasse

412 total citations
17 papers, 299 citations indexed

About

Richard Mariadasse is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Richard Mariadasse has authored 17 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Infectious Diseases and 6 papers in Computational Theory and Mathematics. Recurrent topics in Richard Mariadasse's work include Computational Drug Discovery Methods (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Molecular Sensors and Ion Detection (3 papers). Richard Mariadasse is often cited by papers focused on Computational Drug Discovery Methods (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Molecular Sensors and Ion Detection (3 papers). Richard Mariadasse collaborates with scholars based in India, United States and France. Richard Mariadasse's co-authors include Jeyaraman Jeyakanthan, Munisamy Maniyazagan, Stalin Thambusamy, P. Manisankar, S. Naveen, N.K. Lokanath, Perumal Muthuraja, Mutharasappan Nachiappan, Kumpati Premkumar and Gandhi Sivaraman and has published in prestigious journals such as Frontiers in Microbiology, Gene and Sensors and Actuators B Chemical.

In The Last Decade

Richard Mariadasse

17 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Mariadasse India 10 117 108 92 59 54 17 299
Zhen Liang China 8 191 1.6× 56 0.5× 99 1.1× 31 0.5× 28 0.5× 22 347
Xinjie Guo China 11 283 2.4× 102 0.9× 169 1.8× 15 0.3× 18 0.3× 16 570
Hyung‐Jung Pyun United States 15 259 2.2× 49 0.5× 32 0.3× 10 0.2× 44 0.8× 23 492
Kung-Tien Liu Taiwan 8 309 2.6× 57 0.5× 75 0.8× 108 1.8× 18 0.3× 9 454
Hakan Kandemir Türkiye 14 141 1.2× 109 1.0× 162 1.8× 56 0.9× 12 0.2× 43 548
Mushtaque S. Shaikh India 14 131 1.1× 118 1.1× 186 2.0× 82 1.4× 39 0.7× 23 436
Matthew W. Freyer United States 7 475 4.1× 39 0.4× 59 0.6× 51 0.9× 15 0.3× 10 688
Georgi M. Dobrikov Bulgaria 14 129 1.1× 69 0.6× 94 1.0× 8 0.1× 35 0.6× 53 461
Yiyong Yan China 13 287 2.5× 54 0.5× 65 0.7× 4 0.1× 14 0.3× 22 529
Branimir Bertoša Croatia 15 317 2.7× 86 0.8× 65 0.7× 58 1.0× 21 0.4× 53 758

Countries citing papers authored by Richard Mariadasse

Since Specialization
Citations

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

Fields of papers citing papers by Richard Mariadasse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard Mariadasse. 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 Richard Mariadasse. The network helps show where Richard Mariadasse may publish in the future.

Co-authorship network of co-authors of Richard Mariadasse

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

All Works

17 of 17 papers shown
1.
Tiwari, Satish, Abhisek Dwivedy, Richard Mariadasse, et al.. (2023). Structural snapshots of Mycobacterium tuberculosis enolase reveal dual mode of 2PG binding and its implication in enzyme catalysis. IUCrJ. 10(6). 738–753. 1 indexed citations
2.
Ahmad, Mohammad S., et al.. (2023). Integrated spectroscopic and MD simulation approach to decipher the effect of pH on the structure function of Staphylococcus aureus thymidine kinase. Journal of Biomolecular Structure and Dynamics. 43(4). 1969–1980. 4 indexed citations
3.
Alexpandi, Rajaiah, Mathieu Gendrot, Isabelle Fonta, et al.. (2022). Repurposing of Doxycycline to Hinder the Viral Replication of SARS-CoV-2: From in silico to in vitro Validation. Frontiers in Microbiology. 13. 757418–757418. 4 indexed citations
4.
Dwivedy, Abhisek, Richard Mariadasse, Satish Tiwari, et al.. (2021). Characterization of the NiRAN domain from RNA-dependent RNA polymerase provides insights into a potential therapeutic target against SARS-CoV-2. PLoS Computational Biology. 17(9). e1009384–e1009384. 20 indexed citations
5.
Mariadasse, Richard, et al.. (2021). Characterization of putative transcriptional regulator (PH0140) and its distal homologue. Cellular Signalling. 84. 110031–110031. 3 indexed citations
6.
M, Rajesh Kumar, et al.. (2021). In silico evaluation of isatin-based derivatives with RNA-dependent RNA polymerase of the novel coronavirus SARS-CoV-2. Journal of Biomolecular Structure and Dynamics. 40(15). 6710–6724. 9 indexed citations
7.
Nachiappan, Mutharasappan, et al.. (2020). Structural and functional insights of STAT2-NS5 interaction for the identification of NS5 antagonist – An approach for restoring interferon signaling. Computational Biology and Chemistry. 88. 107332–107332. 3 indexed citations
8.
Dwivedy, Abhisek, et al.. (2020). Prediction of Small Molecule Inhibitors Targeting the Severe Acute Respiratory Syndrome Coronavirus-2 RNA-dependent RNA Polymerase. ACS Omega. 5(29). 18356–18366. 26 indexed citations
9.
Mariadasse, Richard, et al.. (2020). Molecular evolution, binding site interpretation and functional divergence of aspartate semialdehyde dehydrogenase. Journal of Biomolecular Structure and Dynamics. 40(7). 3223–3241. 7 indexed citations
10.
Mariadasse, Richard, et al.. (2019). Insights into Exogenous Tryptophan-Mediated Allosteric Communication and Helical Transition of TRP Protein for Transcription Regulation. Journal of Chemical Information and Modeling. 60(1). 175–191. 10 indexed citations
11.
Kulanthaivel, Langeswaran, et al.. (2018). Insights from the Molecular modeling, docking analysis of illicit drugs and Bomb Compounds with Honey Bee Odorant Binding Proteins (OBPs). Bioinformation. 14(5). 219–231. 9 indexed citations
12.
Maniyazagan, Munisamy, Richard Mariadasse, Mutharasappan Nachiappan, et al.. (2017). Synthesis of rhodamine based organic nanorods for efficient chemosensor probe for Al (III) ions and its biological applications. Sensors and Actuators B Chemical. 254. 795–804. 68 indexed citations
13.
14.
Maniyazagan, Munisamy, et al.. (2016). Fluorescence Sensor for Hg2+ and Fe3+ ions using 3,3′–Dihydroxybenzidine:α–Cyclodextrin Supramolecular Complex: Characterization, in-silico and Cell Imaging Study. Sensors and Actuators B Chemical. 242. 1227–1238. 17 indexed citations
15.
16.
Maniyazagan, Munisamy, Richard Mariadasse, Jeyaraman Jeyakanthan, et al.. (2016). Rhodamine based “turn–on” molecular switch FRET–sensor for cadmium and sulfide ions and live cell imaging study. Sensors and Actuators B Chemical. 238. 565–577. 64 indexed citations
17.
Mariadasse, Richard, et al.. (2015). Mechanical insights of oxythiamine compound as potent inhibitor for human transketolase-like protein 1 (TKTL1 protein). Journal of Receptors and Signal Transduction. 36(3). 233–242. 16 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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