N. Deepa
Impact in
- Molecular Medicine top 2%
- Curcumin's Biomedical Applications
- Pharmaceutical Science top 1%
- Advanced Drug Delivery Systems
Papers in
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- Postharvest Quality and Shelf Life Management 4
- Ethnobotanical and Medicinal Plants Studies 3
- Co-authors
- K.P. Chennazhi (5 shared papers)R. Jayakumar (5 shared papers)A. Anitha (4 shared papers)Shantikumar V. Nair (4 shared papers)Charanjit Kaur (3 shared papers)H. C. Kapoor (3 shared papers)Balraj Singh (2 shared papers)Hiroshi Tamura (2 shared papers)
In The Last Decade
N. Deepa
56 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 136
- Molecular Medicine 269
- Pharmaceutical Science 272
- Biomaterials 468
- Biochemistry 189
- Food Science 211
Countries citing papers authored by N. Deepa
This map shows the geographic impact of N. Deepa'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 N. Deepa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Deepa more than expected).
Fields of papers citing papers by N. Deepa
This network shows the impact of papers produced by N. Deepa. 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 N. Deepa. The network helps show where N. Deepa may publish in the future.
Co-authors
The 25 scholars most cited alongside N. Deepa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 323 | |
| 2 | 2005 | 255 | |
| 3 | 2014 | 157 | |
| 4 | 2010 | 150 | |
| 5 | 2012 | 128 | |
| 6 | 2006 | 120 | |
| 7 | 2022 | 60 | |
| 8 | 2009 | 43 | |
| 9 | 2010 | 35 | |
| 10 | 2022 | 22 | |
| 11 | 2007 | 20 | |
| 12 | 2000 | 20 | |
| 13 | 2022 | 18 | |
| 14 | 2022 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2010 | 16 | |
| 17 | 2023 | 15 | |
| 18 | 2023 | 12 | |
| 19 | 2021 | 12 | |
| 20 | 2022 | 12 |
About N. Deepa
N. Deepa is a scholar working on Artificial Intelligence, Plant Science, Information Systems, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 69 papers that have together received 1.6k indexed citations. Recurring topics across this work include Essential Oils and Antimicrobial Activity (5 papers), Natural Antidiabetic Agents Studies (4 papers), Postharvest Quality and Shelf Life Management (4 papers), Artificial Intelligence in Healthcare (4 papers), Brain Tumor Detection and Classification (4 papers), COVID-19 diagnosis using AI (4 papers), Ethnobotanical and Medicinal Plants Studies (3 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Molecular Medicine (269 citations), Pharmaceutical Science (272 citations), Biomaterials (468 citations), Biochemistry (189 citations) and Food Science (211 citations). N. Deepa has collaborated with scholars based in India, Japan and Spain. Frequent co-authors include K.P. Chennazhi, R. Jayakumar, A. Anitha, Shantikumar V. Nair, Charanjit Kaur, H. C. Kapoor, Balraj Singh, Hiroshi Tamura, T Devi. and Vinoth‐Kumar Lakshmanan. Their work appears in journals such as Carbohydrate Polymers, European Journal of Plant Pathology, LWT, Optical Materials and International Journal of Food Properties.
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.