Anurag Tandon
- Molecular Biology top 10%
- Neurology top 1%
- Cellular and Molecular Neuroscience top 5%
- Epidemiology top 5%
- Physiology top 5%
- Co-authors
- Gang ZhangSalvatore J. CherraRuben K. DagdaCharleen T. ChuDavid S. ParkScott KulichPaul E. FraserFilsy Samuel
- Topics
- Parkinson's Disease Mechanisms and Treatments (16 papers)Alzheimer's disease research and treatments (7 papers)Genetics, Aging, and Longevity in Model Organisms (5 papers)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Anurag Tandon
29 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Molecular Biology 997
- Neurology 909
- Cellular and Molecular Neuroscience 520
- Epidemiology 513
- Physiology 500
Countries citing papers authored by Anurag Tandon
This map shows the geographic impact of Anurag Tandon'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 Anurag Tandon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anurag Tandon more than expected).
Fields of papers citing papers by Anurag Tandon
This network shows the impact of papers produced by Anurag Tandon. 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 Anurag Tandon. The network helps show where Anurag Tandon may publish in the future.
Co-authorship network of co-authors of Anurag Tandon
This figure shows the co-authorship network connecting the top 25 collaborators of Anurag Tandon. A scholar is included among the top collaborators of Anurag Tandon 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 Anurag Tandon. Anurag Tandon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 4 | |
| 3 | 15 | |
| 4 | 14 | |
| 5 | 27 | |
| 6 | 77 | |
| 7 | 119 | |
| 8 | 130 | |
| 9 | 19 | |
| 10 | 46 | |
| 11 | 86 | |
| 12 | Quantitative assessment on the cloning efficiencies of lentiviral transfer vectors with a unique clone sitebreakdown → | 928 |
| 13 | 149 | |
| 14 | 34 | |
| 15 | Loss of PINK1 Function Promotes Mitophagy through Effects on Oxidative Stress and Mitochondrial Fissionbreakdown → | 787 |
| 16 | 14 | |
| 17 | 25 | |
| 18 | 1 | |
| 19 | 106 | |
| 20 | 7 |
About Anurag Tandon
Anurag Tandon is a scholar working on Aging, Neurology and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 2.9k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (16 papers), Alzheimer's disease research and treatments (7 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). The work is most often cited by research in Neurology (909 citations), Aging (66 citations) and Cellular and Molecular Neuroscience (520 citations). Anurag Tandon has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Gang Zhang, Salvatore J. Cherra, Ruben K. Dagda, Charleen T. Chu, David S. Park, Scott Kulich, Paul E. Fraser, Filsy Samuel, Naomi P. Visanji and Maria Marano. Their work appears in journals such as Journal of Biological Chemistry, Neuron and The Science of The Total Environment.
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.