Rewati Potkar

918 citations
6 papers · 808 · 1 hit paper · h-index 6

Impact in

Papers in

Rewati Potkar

6 papers receiving 798 citations

Rewati Potkar's Hit Papers

Beclin 1 Gene Transfer Activates Autophagy and Ameliorates the Neurodegenerative Pathology in α-Synuclein Models of Parkinson's and Lewy Body Diseases 2009 · 519 citations
5190+5+11Years since publication100200300400500

Peers

Rewati Potkar
Comparison fields: 5 of 70
  • Neurology 287
  • Cellular and Molecular Neuroscience 219
  • Physiology 282
  • Neurology 83
  • Epidemiology 318
Replace Victor S. Van Laar with:
Victor S. Van Laar United States
Wen Zhu United States
Oeystein Roed Brekk United States
Roberta Marongiu United States
Victoria Burchell United Kingdom
Jake G. Hoekstra United States
Kelvin K. Hui Japan
Anna Sandebring Sweden
Rosa de Vries Netherlands
Sarah Lee United States
Rewati Potkar relative to Victor S. Van Laar United States Victor S. Van Laar's profile →
Citations per field
00.5×1.5×
Victor S. Van Laar · 1×
Citations per year

Countries citing papers authored by Rewati Potkar

Since Specialization
Citations

This map shows the geographic impact of Rewati Potkar'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 Rewati Potkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rewati Potkar more than expected).

Fields of papers citing papers by Rewati Potkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rewati Potkar. 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 Rewati Potkar. The network helps show where Rewati Potkar may publish in the future.

Co-authors

The 18 scholars most cited alongside Rewati Potkar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rewati Potkar Line = papers co-authored together Rewati Potkar links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Beclin 1 Gene Transfer Activates Autophagy and Ameliorates the Neurodegenerative Pathology in α-Synuclein Models of Parkinson's and Lewy Body Diseases
Hit paper breakdown →
2009519
2 200979
3 200874
4 201159
5 201555
6 201322

About Rewati Potkar

Rewati Potkar is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Neurology and Oncology, having authored 6 papers that have together received 808 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (2 papers), Neuropeptides and Animal Physiology (2 papers), Plant Molecular Biology Research (1 paper), Protease and Inhibitor Mechanisms (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Plant Stress Responses and Tolerance (1 paper), Autophagy in Disease and Therapy (1 paper) and Prion Diseases and Protein Misfolding (1 paper). The work is most often cited by research in Neurology (287 citations), Cellular and Molecular Neuroscience (219 citations), Physiology (282 citations), Neurology (83 citations) and Epidemiology (318 citations). Rewati Potkar has collaborated with scholars based in United States. Frequent co-authors include Brian Spencer, Eliezer Masliah, Edward Rockenstein, Anthony Adame, Christina Patrick, Ryan Gindi, Margarita Trejo, Tony Wyss‐Coray, Robert A. Marr and Leslie Crews. Their work appears in journals such as Journal of Neuroscience, BMC Neuroscience, Biochemical and Biophysical Research Communications, Journal of Biological Chemistry and PLoS ONE.

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.

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