Jignesh Prajapati
- Molecular Biology
- Food Science top 10%
- Computational Theory and Mathematics top 10%
- Pharmacology
- Plant Science
- Co-authors
- Dweipayan GoswamiRakesh RawalMeenu SarafR. B. PatelPriyashi RaoAtanu JanaSaumya PatelArpit Shukla
- Topics
- Computational Drug Discovery Methods (6 papers)Food Science and Nutritional Studies (6 papers)Synthesis and biological activity (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Hazardous MaterialsScientific Reports
- Partner nations
- IndiaUnited StatesPakistan
In The Last Decade
Jignesh Prajapati
40 papers receiving 323 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 96
- Food Science 81
- Computational Theory and Mathematics 62
- Pharmacology 60
- Plant Science 54
Countries citing papers authored by Jignesh Prajapati
This map shows the geographic impact of Jignesh Prajapati'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 Jignesh Prajapati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jignesh Prajapati more than expected).
Fields of papers citing papers by Jignesh Prajapati
This network shows the impact of papers produced by Jignesh Prajapati. 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 Jignesh Prajapati. The network helps show where Jignesh Prajapati may publish in the future.
Co-authorship network of co-authors of Jignesh Prajapati
This figure shows the co-authorship network connecting the top 25 collaborators of Jignesh Prajapati. A scholar is included among the top collaborators of Jignesh Prajapati 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 Jignesh Prajapati. Jignesh Prajapati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 17 | |
| 12 | 28 | |
| 13 | 20 | |
| 14 | 0 | |
| 15 | 9 | |
| 16 | 5 | |
| 17 | Rp-hplc method for the determination of losartan potassium and perindopril erbumine in combined tablet dosage form. | 5 |
| 18 | 22 | |
| 19 | Microfluidization - a novel approach for homogenization | 3 |
| 20 | Comparative quality appraisal of heated shrikhand stored at ambient temperature | 3 |
About Jignesh Prajapati
Jignesh Prajapati is a scholar working on Drug Discovery, Nutrition and Dietetics and Food Science, having authored 44 papers that have together received 331 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Food Science and Nutritional Studies (6 papers) and Synthesis and biological activity (4 papers). The work is most often cited by research in Food Science (81 citations), Computational Theory and Mathematics (62 citations) and Pharmacology (60 citations). Jignesh Prajapati has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Dweipayan Goswami, Rakesh Rawal, Meenu Saraf, R. B. Patel, Priyashi Rao, Atanu Jana, Saumya Patel, Arpit Shukla, K D Mehta and Paritosh Parmar. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Scientific Reports.
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.