Deepak Chhangani
Impact in
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
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- Amyotrophic Lateral Sclerosis Research
Papers in
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- Ubiquitin and proteasome pathways 10
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- Amyotrophic Lateral Sclerosis Research 5
- Co-authors
- Amit Mishra (14 shared papers)Arun Upadhyay (9 shared papers)Ayeman Amanullah (8 shared papers)Diego E. Rincón-Limas (5 shared papers)Ribhav Mishra (5 shared papers)Vibhuti Joshi (5 shared papers)Nihar Ranjan Jana (2 shared papers)Alfonso Martín‐Peña (1 shared paper)
- Journals
- Molecular Neurobiology (6 papers)Scientific Reports (2 papers)iScience (1 paper)Science Immunology (1 paper)Neurobiology of Aging (1 paper)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
Deepak Chhangani
20 papers receiving 396 citations
Peers
Comparison fields: 5 of 63
- Cell Biology 121
- Neurology 69
- Molecular Biology 291
- Cellular and Molecular Neuroscience 69
- Aging 6
Countries citing papers authored by Deepak Chhangani
This map shows the geographic impact of Deepak Chhangani'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 Deepak Chhangani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Chhangani more than expected).
Fields of papers citing papers by Deepak Chhangani
This network shows the impact of papers produced by Deepak Chhangani. 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 Deepak Chhangani. The network helps show where Deepak Chhangani may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Chhangani, 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 | 2013 | 36 | |
| 2 | 2012 | 35 | |
| 3 | 2021 | 34 | |
| 4 | 2013 | 30 | |
| 5 | 2014 | 28 | |
| 6 | 2014 | 26 | |
| 7 | 2012 | 26 | |
| 8 | 2012 | 24 | |
| 9 | 2015 | 23 | |
| 10 | 2015 | 22 | |
| 11 | 2015 | 18 | |
| 12 | 2017 | 17 | |
| 13 | 2015 | 15 | |
| 14 | 2016 | 15 | |
| 15 | 2014 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2024 | 9 | |
| 18 | 2022 | 9 | |
| 19 | 2022 | 3 | |
| 20 | 2018 | 1 |
About Deepak Chhangani
Deepak Chhangani is a scholar working on Molecular Biology, Neurology, Cell Biology, Pharmacology and Epidemiology, having authored 20 papers that have together received 398 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Autophagy in Disease and Therapy (5 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Alzheimer's disease research and treatments (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Cell Biology (121 citations), Neurology (69 citations), Molecular Biology (291 citations), Cellular and Molecular Neuroscience (69 citations) and Aging (6 citations). Deepak Chhangani has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Amit Mishra, Arun Upadhyay, Ayeman Amanullah, Diego E. Rincón-Limas, Ribhav Mishra, Vibhuti Joshi, Nihar Ranjan Jana, Alfonso Martín‐Peña, Koji Yamanaka and Fumito Endo. Their work appears in journals such as Molecular Neurobiology, Scientific Reports, iScience, Science Immunology and Neurobiology of Aging.
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.