Arpana Arjun
Impact in
Papers in
- Surgery 5
- Nasal Surgery and Airway Studies 1
-
- Tracheal and airway disorders 3
- Co-authors
- Sami J. Barmada (2 shared papers)Steven Finkbeiner (2 shared papers)Xingli Li (2 shared papers)Daniel Peisach (2 shared papers)Michael A. Pleiss (1 shared paper)Siddharthan Chandran (1 shared paper)D. Michael Ando (1 shared paper)Andrea Serio (1 shared paper)
- Journals
- Nature Chemical Biology (1 paper)Annals of Plastic Surgery (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)eLife (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Arpana Arjun
10 papers receiving 639 citations
Arpana Arjun's Hit Papers
Peers
Comparison fields: 5 of 77
- Neurology 268
- Genetics 110
- Aging 11
- Cellular and Molecular Neuroscience 82
- Neurology 34
Countries citing papers authored by Arpana Arjun
This map shows the geographic impact of Arpana Arjun'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 Arpana Arjun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arpana Arjun more than expected).
Fields of papers citing papers by Arpana Arjun
This network shows the impact of papers produced by Arpana Arjun. 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 Arpana Arjun. The network helps show where Arpana Arjun may publish in the future.
Co-authors
The 25 scholars most cited alongside Arpana Arjun, 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 | Autophagy induction enhances TDP43 turnover and survival in neuronal ALS models Hit paper breakdown → | 2014 | 353 |
| 2 | 2015 | 98 | |
| 3 | 2011 | 92 | |
| 4 | 2019 | 46 | |
| 5 | 2019 | 17 | |
| 6 | 2020 | 13 | |
| 7 | 2020 | 12 | |
| 8 | 2019 | 11 | |
| 9 | 2020 | 2 | |
| 10 | 2017 | 1 | |
| 11 | 2015 | 0 |
About Arpana Arjun
Arpana Arjun is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Molecular Biology, Cellular and Molecular Neuroscience and Neurology, having authored 11 papers that have together received 645 indexed citations. Recurring topics across this work include Tracheal and airway disorders (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Wound Healing and Treatments (2 papers), Genetic Neurodegenerative Diseases (2 papers), Allergic Rhinitis and Sensitization (1 paper), Nasal Surgery and Airway Studies (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Dysphagia Assessment and Management (1 paper). The work is most often cited by research in Neurology (268 citations), Genetics (110 citations), Aging (11 citations), Cellular and Molecular Neuroscience (82 citations) and Neurology (34 citations). Arpana Arjun has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Sami J. Barmada, Steven Finkbeiner, Xingli Li, Daniel Peisach, Michael A. Pleiss, Siddharthan Chandran, D. Michael Ando, Andrea Serio, Andrey S. Tsvetkov and Christopher E. Shaw. Their work appears in journals such as Nature Chemical Biology, Annals of Plastic Surgery, Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and eLife.
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.