Amit Mittal
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Organic Chemistry top 10%
- Plant Science
- Computational Theory and Mathematics top 5%
- Co-authors
- Shubham KumarParanjeet KaurGopal L. KhatikAnu MittalDinesh BabuSurendra Kumar NayakUma RamachandranRakesh Kumar
- Topics
- Computational Drug Discovery Methods (13 papers)Synthesis and biological activity (12 papers)Natural Antidiabetic Agents Studies (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaGenome biologyJournal of Ethnopharmacology
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Amit Mittal
73 papers receiving 777 citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 303
- Endocrinology, Diabetes and Metabolism 172
- Organic Chemistry 166
- Plant Science 84
- Computational Theory and Mathematics 82
Countries citing papers authored by Amit Mittal
This map shows the geographic impact of Amit Mittal'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 Amit Mittal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Mittal more than expected).
Fields of papers citing papers by Amit Mittal
This network shows the impact of papers produced by Amit Mittal. 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 Amit Mittal. The network helps show where Amit Mittal may publish in the future.
Co-authorship network of co-authors of Amit Mittal
This figure shows the co-authorship network connecting the top 25 collaborators of Amit Mittal. A scholar is included among the top collaborators of Amit Mittal 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 Amit Mittal. Amit Mittal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 17 | |
| 14 | 28 | |
| 15 | 21 | |
| 16 | 86 | |
| 17 | 7 | |
| 18 | A Comprehensive Review on custard apple (Annona squamosa) | 0 |
| 19 | An Overview on Therapeutic Potential of Azadirachta indica | 3 |
| 20 | Comparative pharmacological evaluation of adaptogenic activity of Holoptelea integrifolia and Withania somnifera | 16 |
About Amit Mittal
Amit Mittal is a scholar working on Drug Discovery, Pharmacology and Complementary and alternative medicine, having authored 89 papers that have together received 804 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Synthesis and biological activity (12 papers) and Natural Antidiabetic Agents Studies (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (172 citations), Complementary and alternative medicine (53 citations) and Pharmacology (55 citations). Amit Mittal has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Shubham Kumar, Paranjeet Kaur, Gopal L. Khatik, Anu Mittal, Dinesh Babu, Surendra Kumar Nayak, Uma Ramachandran, Rakesh Kumar, Priya Mishra and Satyendra Kumar Rajput. Their work appears in journals such as SHILAP Revista de lepidopterología, Genome biology and Journal of Ethnopharmacology.
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.