Arpita Konar
- Complementary and alternative medicine top 2%
- Molecular Biology
- Physiology
- Pharmacology
- Cellular and Molecular Neuroscience
- Co-authors
- Mahendra Kumar ThakurRenu WadhwaSunil C. KaulPadmanabh SinghNishant SaxenaRumani SinghNavjot ShahAshish Kumar
- Topics
- Medicinal Plants and Neuroprotection (9 papers)Phytochemicals and Medicinal Plants (5 papers)Cholinesterase and Neurodegenerative Diseases (4 papers)
- Partner nations
- IndiaJapanUnited States
In The Last Decade
Arpita Konar
17 papers receiving 472 citations
Peers
Comparison fields: 5 of 92
- Complementary and alternative medicine 193
- Molecular Biology 148
- Physiology 83
- Pharmacology 78
- Cellular and Molecular Neuroscience 75
Countries citing papers authored by Arpita Konar
This map shows the geographic impact of Arpita Konar'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 Arpita Konar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arpita Konar more than expected).
Fields of papers citing papers by Arpita Konar
This network shows the impact of papers produced by Arpita Konar. 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 Arpita Konar. The network helps show where Arpita Konar may publish in the future.
Co-authorship network of co-authors of Arpita Konar
This figure shows the co-authorship network connecting the top 25 collaborators of Arpita Konar. A scholar is included among the top collaborators of Arpita Konar 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 Arpita Konar. Arpita Konar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Evaluation of Bacosides and Lauric acid Nanoformulations in Regulation of Neuronal and Epigenetic Markers in Primary Culture of Mouse Cortical Neurons: A Comparative Study to Rivastigmine, a Synthetic Analog | 1 |
| 3 | 14 | |
| 4 | 18 | |
| 5 | 14 | |
| 6 | 8 | |
| 7 | 19 | |
| 8 | 37 | |
| 9 | 0 | |
| 10 | 11 | |
| 11 | 25 | |
| 12 | 60 | |
| 13 | 27 | |
| 14 | 43 | |
| 15 | 21 | |
| 16 | 20 | |
| 17 | 11 | |
| 18 | 152 |
About Arpita Konar
Arpita Konar is a scholar working on Complementary and alternative medicine, Developmental Neuroscience and Biological Psychiatry, having authored 18 papers that have together received 485 indexed citations. Recurring topics across this work include Medicinal Plants and Neuroprotection (9 papers), Phytochemicals and Medicinal Plants (5 papers) and Cholinesterase and Neurodegenerative Diseases (4 papers). The work is most often cited by research in Complementary and alternative medicine (193 citations), Biological Psychiatry (26 citations) and Neurology (48 citations). Arpita Konar has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Mahendra Kumar Thakur, Renu Wadhwa, Sunil C. Kaul, Padmanabh Singh, Mahendra Kumar Thakur, Nishant Saxena, Rumani Singh, Navjot Shah, Ashish Kumar and Veena Koul. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Neurochemistry.
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.