Anoop Arunagiri
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease 12
- Physiology top 5%
- Alzheimer's disease research and treatments 11
- Biomaterials top 5%
- Supramolecular Self-Assembly in Materials 3
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 6
- Physiology top 10%
- Alzheimer's disease research and treatments 11
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- Pancreatic function and diabetes 15
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- Diabetes and associated disorders 7
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- Protein Structure and Dynamics 3
- Metabolism, Diabetes, and Cancer 3
- Co-authors
- Samir K. MajiReeba S. JacobPradeep K. SinghPeter ArvanNarendra Nath JhaShamik SenLeena HaatajaBilly Tsai
- Cited by
- Cell BiologyPhysiologyBiomaterials
- Journals
- Journal of Biological Chemistry (7 papers)Journal of Clinical Investigation (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Anoop Arunagiri
35 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 109
- Cell Biology 394
- Physiology 510
- Biomaterials 222
- Neurology 255
- Physiology 43
Countries citing papers authored by Anoop Arunagiri
This map shows the geographic impact of Anoop Arunagiri'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 Anoop Arunagiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anoop Arunagiri more than expected).
Fields of papers citing papers by Anoop Arunagiri
This network shows the impact of papers produced by Anoop Arunagiri. 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 Anoop Arunagiri. The network helps show where Anoop Arunagiri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anoop Arunagiri, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 11 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 46 | |
| 6 | 2021 | 6 | |
| 7 | 2021 | 39 | |
| 8 | 2021 | 23 | |
| 9 | 2019 | 100 | |
| 10 | 2019 | 74 | |
| 11 | 2018 | 144 | |
| 12 | Biosynthesis, structure, and folding of the insulin precursor protein | 2018 | 1 |
| 13 | 2018 | 58 | |
| 14 | 2016 | 73 | |
| 15 | 2014 | 63 | |
| 16 | 2013 | 3 | |
| 17 | 2011 | 154 | |
| 18 | Antiinflammatory activities of Calamus rotang mill | 2005 | 1 |
| 19 | 2003 | 75 | |
| 20 | Toxicological Studies Of Lingha Chendooram-1; a Siddha Drug | 2002 | 3 |
About Anoop Arunagiri
Anoop Arunagiri is a scholar working on Cell Biology, Physiology and Physiology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (15 papers), Endoplasmic Reticulum Stress and Disease (12 papers), Alzheimer's disease research and treatments (11 papers), Diabetes and associated disorders (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Protein Structure and Dynamics (3 papers), Supramolecular Self-Assembly in Materials (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Cell Biology (394 citations), Physiology (510 citations) and Biomaterials (222 citations). Anoop Arunagiri has collaborated with scholars based in United States, India and China. Frequent co-authors include Samir K. Maji, Reeba S. Jacob, Pradeep K. Singh, Peter Arvan, Narendra Nath Jha, Shamik Sen, Leena Haataja, Billy Tsai, Dhiman Ghosh and M Jegadeesan. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.
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.