Shardul Paricharak

564 total citations
14 papers, 463 citations indexed

About

Shardul Paricharak is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Shardul Paricharak has authored 14 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 6 papers in Organic Chemistry. Recurrent topics in Shardul Paricharak's work include Computational Drug Discovery Methods (8 papers), Synthesis and biological activity (5 papers) and Microbial Natural Products and Biosynthesis (4 papers). Shardul Paricharak is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Synthesis and biological activity (5 papers) and Microbial Natural Products and Biosynthesis (4 papers). Shardul Paricharak collaborates with scholars based in United Kingdom, Netherlands and India. Shardul Paricharak's co-authors include Andreas Bender, Adriaan P. IJzerman, Kanchugarakoppal S. Rangappa, Basappa Basappa, Chakrabhavi Dhananjaya Mohan, Shobith Rangappa, Gautam Sethi, Lewis Mervin, Florian Nigsch and Surender Mohan and has published in prestigious journals such as PLoS ONE, RSC Advances and Journal of Chemical Information and Modeling.

In The Last Decade

Shardul Paricharak

14 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shardul Paricharak United Kingdom 11 254 155 128 74 57 14 463
Dimitar Jakimov Serbia 17 262 1.0× 90 0.6× 299 2.3× 101 1.4× 40 0.7× 69 711
Yu Jiao China 16 418 1.6× 92 0.6× 139 1.1× 73 1.0× 26 0.5× 37 655
Xin Ku China 11 409 1.6× 120 0.8× 262 2.0× 144 1.9× 27 0.5× 25 722
Nathalie Lagarde France 15 310 1.2× 292 1.9× 124 1.0× 59 0.8× 71 1.2× 34 593
Andrew J. S. Knox Ireland 20 379 1.5× 191 1.2× 488 3.8× 67 0.9× 34 0.6× 41 911
Farha Naz India 14 377 1.5× 129 0.8× 65 0.5× 82 1.1× 13 0.2× 23 583
Tyler B. Hughes United States 14 400 1.6× 391 2.5× 113 0.9× 50 0.7× 156 2.7× 18 811
Steven J. Woodhead United Kingdom 13 534 2.1× 162 1.0× 263 2.1× 167 2.3× 63 1.1× 19 889
Hiroyuki Kakinuma Japan 14 325 1.3× 83 0.5× 288 2.3× 65 0.9× 35 0.6× 43 744
Martin Frotscher Germany 19 390 1.5× 76 0.5× 359 2.8× 46 0.6× 21 0.4× 46 1.2k

Countries citing papers authored by Shardul Paricharak

Since Specialization
Citations

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

Fields of papers citing papers by Shardul Paricharak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shardul Paricharak

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

All Works

14 of 14 papers shown
1.
Pandey, Vijay, Chakrabhavi Dhananjaya Mohan, Shobith Rangappa, et al.. (2016). Novel Adamantanyl-Based Thiadiazolyl Pyrazoles Targeting EGFR in Triple-Negative Breast Cancer. ACS Omega. 1(6). 1412–1424. 45 indexed citations
2.
Mohan, Chakrabhavi Dhananjaya, Shobith Rangappa, Lewis Mervin, et al.. (2016). Trisubstituted-Imidazoles Induce Apoptosis in Human Breast Cancer Cells by Targeting the Oncogenic PI3K/Akt/mTOR Signaling Pathway. PLoS ONE. 11(4). e0153155–e0153155. 115 indexed citations
3.
Paricharak, Shardul, et al.. (2016). Data-driven approaches used for compound library design, hit triage and bioactivity modeling in high-throughput screening. Briefings in Bioinformatics. 19(2). bbw105–bbw105. 24 indexed citations
4.
Paricharak, Shardul, Adriaan P. IJzerman, Jeremy L. Jenkins, Andreas Bender, & Florian Nigsch. (2016). Data-Driven Derivation of an “Informer Compound Set” for Improved Selection of Active Compounds in High-Throughput Screening. Journal of Chemical Information and Modeling. 56(9). 1622–1630. 9 indexed citations
5.
Paricharak, Shardul, Adriaan P. IJzerman, Andreas Bender, & Florian Nigsch. (2016). Analysis of Iterative Screening with Stepwise Compound Selection Based on Novartis In-house HTS Data. ACS Chemical Biology. 11(5). 1255–1264. 32 indexed citations
6.
Mohan, Chakrabhavi Dhananjaya, Shobith Rangappa, Surender Mohan, et al.. (2015). A Nano-MgO and Ionic Liquid-Catalyzed ‘Green’ Synthesis Protocol for the Development of Adamantyl-Imidazolo-Thiadiazoles as Anti-Tuberculosis Agents Targeting Sterol 14α-Demethylase (CYP51). PLoS ONE. 10(10). e0139798–e0139798. 19 indexed citations
7.
Paricharak, Shardul, Isidro Cortés‐Ciriano, Adriaan P. IJzerman, Thérèse E. Malliavin, & Andreas Bender. (2015). Proteochemometric modelling coupled to in silico target prediction: an integrated approach for the simultaneous prediction of polypharmacology and binding affinity/potency of small molecules. Journal of Cheminformatics. 7(1). 15–15. 29 indexed citations
8.
Paricharak, Shardul, Chakrabhavi Dhananjaya Mohan, Hanumantharayappa Bharathkumar, et al.. (2015). Nano-MoO3-mediated synthesis of bioactive thiazolidin-4-ones acting as anti-bacterial agents and their mode-of-action analysis using in silico target prediction, docking and similarity searching. New Journal of Chemistry. 40(3). 2189–2199. 4 indexed citations
9.
Mohan, Chakrabhavi Dhananjaya, Feng Li, Xiaoyun Dai, et al.. (2014). Novel synthetic coumarins that targets NF-κB in Hepatocellular carcinoma. Bioorganic & Medicinal Chemistry Letters. 25(4). 893–897. 61 indexed citations
10.
Bharathkumar, Hanumantharayappa, Mahalingam S. Sundaram, Swamy Jagadish, et al.. (2014). Novel Benzoxazine-Based Aglycones Block Glucose Uptake In Vivo by Inhibiting Glycosidases. PLoS ONE. 9(7). e102759–e102759. 16 indexed citations
11.
Bharathkumar, Hanumantharayappa, Shardul Paricharak, Kodappully Sivaraman Siveen, et al.. (2014). Synthesis, biological evaluation and in silico and in vitro mode-of-action analysis of novel dihydropyrimidones targeting PPAR-γ. RSC Advances. 4(85). 45143–45146. 32 indexed citations
12.
13.
Paricharak, Shardul, et al.. (2013). Revised classification of kinases based on bioactivity data: the importance of data density and choice of visualization. Journal of Cheminformatics. 5(S1). 1 indexed citations
14.
Koutsoukas, Alexios, Shardul Paricharak, Warren R. J. D. Galloway, et al.. (2013). How Diverse Are Diversity Assessment Methods? A Comparative Analysis and Benchmarking of Molecular Descriptor Space. Journal of Chemical Information and Modeling. 54(1). 230–242. 65 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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