Arunava Gantait
- Molecular Medicine top 1%
- Molecular Biology
- Pharmaceutical Science top 2%
- Pharmacology top 2%
- Food Science top 10%
- Co-authors
- Pulok K. MukherjeeKakali MukherjeeKuntal MaitiBishnu Pada SahaSubrata PanditNeelesh K. NemaP. VenkateshSivasankaran Ponnusankar
- Topics
- Essential Oils and Antimicrobial Activity (3 papers)Ethnobotanical and Medicinal Plants Studies (2 papers)Curcumin's Biomedical Applications (2 papers)
- Journals
- International Journal of PharmaceuticsJournal of Pharmacy and PharmacologyJournal of AOAC International
- Partner nations
- India
In The Last Decade
Arunava Gantait
10 papers receiving 824 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Molecular Medicine 363
- Molecular Biology 249
- Pharmaceutical Science 192
- Pharmacology 169
- Food Science 142
Countries citing papers authored by Arunava Gantait
This map shows the geographic impact of Arunava Gantait'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 Arunava Gantait with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arunava Gantait more than expected).
Fields of papers citing papers by Arunava Gantait
This network shows the impact of papers produced by Arunava Gantait. 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 Arunava Gantait. The network helps show where Arunava Gantait may publish in the future.
Co-authorship network of co-authors of Arunava Gantait
This figure shows the co-authorship network connecting the top 25 collaborators of Arunava Gantait. A scholar is included among the top collaborators of Arunava Gantait 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 Arunava Gantait. Arunava Gantait is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 4 | |
| 3 | Validated method for estimation of curcumin in turmeric powder | 32 |
| 4 | 12 | |
| 5 | 30 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 21 | |
| 9 | Curcumin–phospholipid complex: Preparation, therapeutic evaluation and pharmacokinetic study in ratsbreakdown → | 676 |
| 10 | 100 |
About Arunava Gantait
Arunava Gantait is a scholar working on Pharmacology, Molecular Medicine and Complementary and alternative medicine, having authored 10 papers that have together received 892 indexed citations. Recurring topics across this work include Essential Oils and Antimicrobial Activity (3 papers), Ethnobotanical and Medicinal Plants Studies (2 papers) and Curcumin's Biomedical Applications (2 papers). The work is most often cited by research in Molecular Medicine (363 citations), Pharmaceutical Science (192 citations) and Pharmacology (169 citations). Arunava Gantait has collaborated with scholars based in India. Frequent co-authors include Pulok K. Mukherjee, Kakali Mukherjee, Kuntal Maiti, Bishnu Pada Saha, Subrata Pandit, Neelesh K. Nema, P. Venkatesh, Sivasankaran Ponnusankar, Santanu Bhadra and Amal K. Maji. Their work appears in journals such as International Journal of Pharmaceutics, Journal of Pharmacy and Pharmacology and Journal of AOAC International.
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.