Deepa Ajit
Impact in
- Physiology top 1%
- Alzheimer's disease research and treatments
- Adenosine and Purinergic Signaling
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Alzheimer's disease research and treatments 9
- Adenosine and Purinergic Signaling 4
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- Amyotrophic Lateral Sclerosis Research 2
- Neuroinflammation and Neurodegeneration Mechanisms 1
- Co-authors
- Gary A. Weisman (10 shared papers)Laurie Erb (7 shared papers)Jean M. Camden (6 shared papers)Michael R. Nichols (4 shared papers)Lucas T. Woods (5 shared papers)Grace Y. Sun (6 shared papers)Troy S. Peterson (4 shared papers)Ágnes Simonyi (3 shared papers)
- Journals
- eLife (4 papers)Journal of Neurochemistry (3 papers)Molecular Neurobiology (2 papers)Neuropharmacology (1 paper)Biology of the Cell (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Deepa Ajit
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 62
- Physiology 196
- Neurology 142
- Physiology 238
- Biological Psychiatry 7
- Developmental Neuroscience 9
Countries citing papers authored by Deepa Ajit
This map shows the geographic impact of Deepa Ajit'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 Deepa Ajit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepa Ajit more than expected).
Fields of papers citing papers by Deepa Ajit
This network shows the impact of papers produced by Deepa Ajit. 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 Deepa Ajit. The network helps show where Deepa Ajit may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepa Ajit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 161 | |
| 2 | 2011 | 145 | |
| 3 | 2015 | 114 | |
| 4 | 2015 | 90 | |
| 5 | 2020 | 86 | |
| 6 | 2012 | 76 | |
| 7 | 2017 | 73 | |
| 8 | 2021 | 71 | |
| 9 | 2012 | 68 | |
| 10 | 2013 | 50 | |
| 11 | 2012 | 48 | |
| 12 | 2016 | 42 | |
| 13 | 2014 | 38 | |
| 14 | 2013 | 35 | |
| 15 | 2019 | 21 | |
| 16 | 2009 | 17 | |
| 17 | 2021 | 16 | |
| 18 | 2009 | 13 | |
| 19 | 2023 | 12 | |
| 20 | 2008 | 11 |
About Deepa Ajit
Deepa Ajit is a scholar working on Physiology, Physiology, Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Adenosine and Purinergic Signaling (4 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Axon Guidance and Neuronal Signaling (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Physiology (196 citations), Neurology (142 citations), Physiology (238 citations), Biological Psychiatry (7 citations) and Developmental Neuroscience (9 citations). Deepa Ajit has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Gary A. Weisman, Laurie Erb, Jean M. Camden, Michael R. Nichols, Lucas T. Woods, Grace Y. Sun, Troy S. Peterson, Ágnes Simonyi, W. Gibson Wood and Jau‐Shyong Hong. Their work appears in journals such as eLife, Journal of Neurochemistry, Molecular Neurobiology, Neuropharmacology and Biology of the Cell.
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.