Pavan Kumar Auluck
Impact in
Papers in
- Neurology 17
- Parkinson's Disease Mechanisms and Treatments 12
- Autoimmune Neurological Disorders and Treatments 2
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- Schizophrenia research and treatment 5
- Attention Deficit Hyperactivity Disorder 4
- Co-authors
- Nancy M. Bonini (3 shared papers)Virginia M.‐Y. Lee (1 shared paper)John Q. Trojanowski (1 shared paper)Ho Yin Edwin Chan (1 shared paper)S Lindquist (6 shared papers)Gabriela Caraveo (2 shared papers)Marc C. Meulener (1 shared paper)Esti Yeger‐Lotem (2 shared papers)
- Journals
- Science (4 papers)Nature (3 papers)Nature Genetics (3 papers)Translational Psychiatry (3 papers)New England Journal of Medicine (2 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Pavan Kumar Auluck
41 papers receiving 4k citations
Pavan Kumar Auluck's Hit Papers
Peers
Comparison fields: 5 of 101
- Neurology 1.8k
- Aging 100
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 282
- Physiology 350
Countries citing papers authored by Pavan Kumar Auluck
This map shows the geographic impact of Pavan Kumar Auluck'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 Pavan Kumar Auluck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavan Kumar Auluck more than expected).
Fields of papers citing papers by Pavan Kumar Auluck
This network shows the impact of papers produced by Pavan Kumar Auluck. 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 Pavan Kumar Auluck. The network helps show where Pavan Kumar Auluck may publish in the future.
Co-authors
The 25 scholars most cited alongside Pavan Kumar Auluck, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Chaperone Suppression of α-Synuclein Toxicity in a Drosophila Model for Parkinson's Disease Hit paper breakdown → | 2002 | 1069 |
| 2 | 2010 | 452 | |
| 3 | 2013 | 387 | |
| 4 | 2002 | 245 | |
| 5 | 2009 | 233 | |
| 6 | 2019 | 222 | |
| 7 | 2004 | 180 | |
| 8 | 2011 | 170 | |
| 9 | 2018 | 162 | |
| 10 | 2009 | 153 | |
| 11 | 2014 | 102 | |
| 12 | 2017 | 96 | |
| 13 | 2017 | 96 | |
| 14 | 2020 | 69 | |
| 15 | 2006 | 68 | |
| 16 | 2008 | 41 | |
| 17 | 2018 | 40 | |
| 18 | 2009 | 32 | |
| 19 | 2022 | 32 | |
| 20 | 2020 | 28 |
About Pavan Kumar Auluck
Pavan Kumar Auluck is a scholar working on Neurology, Psychiatry and Mental health, Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 47 papers that have together received 4.1k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (12 papers), Single-cell and spatial transcriptomics (8 papers), Genetic Associations and Epidemiology (7 papers), Schizophrenia research and treatment (5 papers), Genomics and Chromatin Dynamics (5 papers), Attention Deficit Hyperactivity Disorder (4 papers), Autoimmune Neurological Disorders and Treatments (2 papers) and Medical Case Reports and Studies (2 papers). The work is most often cited by research in Neurology (1.8k citations), Aging (100 citations), Molecular Biology (1.3k citations), Cellular and Molecular Neuroscience (282 citations) and Physiology (350 citations). Pavan Kumar Auluck has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Nancy M. Bonini, Virginia M.‐Y. Lee, John Q. Trojanowski, Ho Yin Edwin Chan, S Lindquist, Gabriela Caraveo, Marc C. Meulener, Esti Yeger‐Lotem, Ernest Fraenkel and Linhui Julie Su. Their work appears in journals such as Science, Nature, Nature Genetics, Translational Psychiatry and New England Journal of Medicine.
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.