N. Deepa
- Molecular Medicine top 2%
- Pharmaceutical Science top 1%
- Biomaterials top 2%
- Biochemistry top 5%
- Food Science top 5%
- Essential Oils and Antimicrobial Activity 5
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- Artificial Intelligence in Healthcare 4
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- Postharvest Quality and Shelf Life Management 4
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- Natural Antidiabetic Agents Studies 4
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- COVID-19 diagnosis using AI 4
- Retinal Imaging and Analysis 3
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- Brain Tumor Detection and Classification 4
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- IoT and Edge/Fog Computing 3
N. Deepa
51 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 135
- Molecular Medicine 255
- Pharmaceutical Science 262
- Biomaterials 446
- Biochemistry 185
- Food Science 202
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 0 | |
| 9 | 2021 | 11 | |
| 10 | 2019 | 3 | |
| 11 | Chromogenic polyaniline picrate- A novel sorbent for selectivity of anions in potassium and sodium salts | 2016 | 1 |
| 12 | Endosulfan degradation by secondary metabolites of Cipadessa Bacciferaan innovative approach | 2015 | 1 |
| 13 | 2014 | 134 | |
| 14 | In vitro anti- cancer activity of Solidago canadensis L. | 2012 | 4 |
| 15 | 2012 | 119 | |
| 16 | Antimicrobial activity of extractives of Solidago canadensis L. | 2010 | 3 |
| 17 | 2007 | 7 | |
| 18 | Anti-tumor activity of Acanthospermum hispidum DC on dalton ascites lymphoma in mice | 2007 | 8 |
| 19 | 2004 | 2 | |
| 20 | 2000 | 19 |
About N. Deepa
N. Deepa is a scholar working on Health Information Management, Biochemistry, Molecular Medicine, Pharmaceutical Science and Neurology, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Essential Oils and Antimicrobial Activity (5 papers), Artificial Intelligence in Healthcare (4 papers), Postharvest Quality and Shelf Life Management (4 papers), Natural Antidiabetic Agents Studies (4 papers), COVID-19 diagnosis using AI (4 papers), Brain Tumor Detection and Classification (4 papers), IoT and Edge/Fog Computing (3 papers) and Retinal Imaging and Analysis (3 papers). The work is most often cited by research in Molecular Medicine (255 citations), Pharmaceutical Science (262 citations), Biomaterials (446 citations), Biochemistry (185 citations) and Food Science (202 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, H. C. Kapoor, Charanjit Kaur, Balraj Singh, Hiroshi Tamura, T Devi. and Vinoth‐Kumar Lakshmanan. Their work appears in journals such as Carbohydrate Polymers, Journal of Food Composition and Analysis, International Journal of Biological Macromolecules, European Journal of Plant Pathology and Cancer Letters.
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.