Deepika Saini
- Organic Chemistry top 10%
- Molecular Biology
- Plant Science
- Computational Theory and Mathematics top 10%
- Pharmacology
- Co-authors
- Sandeep JainNeelam JainHarish KumarPrem P. YadavOm Prakash PatelAjay KumarRituraj KonwarRitu Karwasra
- Topics
- Synthesis and biological activity (14 papers)Synthesis and Characterization of Heterocyclic Compounds (6 papers)Computational Drug Discovery Methods (5 papers)
- Journals
- Biochemical PharmacologyEuropean Journal of Medicinal ChemistryToxicology and Applied Pharmacology
- Partner nations
- IndiaSaudi ArabiaPeru
In The Last Decade
Deepika Saini
23 papers receiving 588 citations
Peers
Comparison fields: 5 of 84
- Organic Chemistry 321
- Molecular Biology 162
- Plant Science 69
- Computational Theory and Mathematics 55
- Pharmacology 46
Countries citing papers authored by Deepika Saini
This map shows the geographic impact of Deepika Saini'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 Deepika Saini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepika Saini more than expected).
Fields of papers citing papers by Deepika Saini
This network shows the impact of papers produced by Deepika Saini. 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 Deepika Saini. The network helps show where Deepika Saini may publish in the future.
Co-authorship network of co-authors of Deepika Saini
This figure shows the co-authorship network connecting the top 25 collaborators of Deepika Saini. A scholar is included among the top collaborators of Deepika Saini 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 Deepika Saini. Deepika Saini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 30 | |
| 7 | 20 | |
| 8 | 10 | |
| 9 | 44 | |
| 10 | Synthesis and antibacterial screening of some 2-[5-(aryloxymethyl)-1, 3, 4- oxadiazol-2-ylsulfanyl] acetic acids | 1 |
| 11 | 25 | |
| 12 | 71 | |
| 13 | 10 | |
| 14 | 52 | |
| 15 | 13 | |
| 16 | 46 | |
| 17 | 170 | |
| 18 | 33 | |
| 19 | 22 | |
| 20 | Conserving Biodiversity Based on Cultural and Religious Values | 1 |
About Deepika Saini
Deepika Saini is a scholar working on Toxicology, Organic Chemistry and Computational Theory and Mathematics, having authored 26 papers that have together received 595 indexed citations. Recurring topics across this work include Synthesis and biological activity (14 papers), Synthesis and Characterization of Heterocyclic Compounds (6 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Organic Chemistry (321 citations), Toxicology (37 citations) and Pharmaceutical Science (27 citations). Deepika Saini has collaborated with scholars based in India, Saudi Arabia and Peru. Frequent co-authors include Sandeep Jain, Neelam Jain, Harish Kumar, Prem P. Yadav, Om Prakash Patel, Ajay Kumar, Rituraj Konwar, Ritu Karwasra, Yogendra Kumar Gupta and Surender Singh. Their work appears in journals such as Biochemical Pharmacology, European Journal of Medicinal Chemistry and Toxicology and Applied Pharmacology.
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.