Shardul Paricharak
Impact in
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- Computational Drug Discovery Methods
- Toxicology top 10%
Papers in
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- Bioinformatics and Genomic Networks 2
- Genetics, Bioinformatics, and Biomedical Research 1
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- Computational Drug Discovery Methods 8
- Co-authors
- Andreas Bender (14 shared papers)Adriaan P. IJzerman (5 shared papers)Basappa Basappa (7 shared papers)Kanchugarakoppal S. Rangappa (6 shared papers)Chakrabhavi Dhananjaya Mohan (6 shared papers)Gautam Sethi (3 shared papers)Shobith Rangappa (4 shared papers)Lewis Mervin (3 shared papers)
- Journals
- Journal of Cheminformatics (3 papers)PLoS ONE (3 papers)Journal of Chemical Information and Modeling (2 papers)ACS Omega (1 paper)RSC Advances (1 paper)
- Partner nations
- United KingdomNetherlandsIndia
In The Last Decade
Shardul Paricharak
14 papers receiving 458 citations
Peers
Comparison fields: 5 of 75
- Computational Theory and Mathematics 155
- Toxicology 29
- Organic Chemistry 128
- Molecular Biology 254
- Pharmacology 54
Countries citing papers authored by Shardul Paricharak
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
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-authors
The 25 scholars most cited alongside Shardul Paricharak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 115 | |
| 2 | 2013 | 65 | |
| 3 | 2014 | 61 | |
| 4 | 2016 | 45 | |
| 5 | 2016 | 32 | |
| 6 | 2014 | 32 | |
| 7 | 2015 | 29 | |
| 8 | 2016 | 24 | |
| 9 | 2015 | 19 | |
| 10 | 2014 | 16 | |
| 11 | 2013 | 11 | |
| 12 | 2016 | 9 | |
| 13 | 2015 | 4 | |
| 14 | 2013 | 1 |
About Shardul Paricharak
Shardul Paricharak is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Pharmacology and Materials Chemistry, having authored 14 papers that have together received 463 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Synthesis and biological activity (5 papers), Microbial Natural Products and Biosynthesis (4 papers), Click Chemistry and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers), Machine Learning in Materials Science (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Computational Theory and Mathematics (155 citations), Toxicology (29 citations), Organic Chemistry (128 citations), Molecular Biology (254 citations) and Pharmacology (54 citations). Shardul Paricharak has collaborated with scholars based in United Kingdom, Netherlands and India. Frequent co-authors include Andreas Bender, Adriaan P. IJzerman, Basappa Basappa, Kanchugarakoppal S. Rangappa, Chakrabhavi Dhananjaya Mohan, Gautam Sethi, Shobith Rangappa, Lewis Mervin, Florian Nigsch and Surender Mohan. Their work appears in journals such as Journal of Cheminformatics, PLoS ONE, Journal of Chemical Information and Modeling, ACS Omega and RSC Advances.
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.