Usha Narayanan
Impact in
- Physiology top 2%
- Epidemiology top 2%
- Autophagy in Disease and Therapy
Papers in ⓘ
- Genetics 3
- Neurogenetic and Muscular Disorders Research 3
- Genetics and Neurodevelopmental Disorders 3
- Co-authors
- Michael A. Milhollen (6 shared papers)Sovan Sarkar (2 shared papers)Fiona M. Menzies (2 shared papers)David C. Rubinsztein (2 shared papers)Marie Futter (2 shared papers)Shouqing Luo (2 shared papers)Benjamin R. Underwood (2 shared papers)Vijayalaxmi Nalavadi (3 shared papers)
- Journals
- Cancer Research (3 papers)Blood (3 papers)Molecular Cancer Therapeutics (1 paper)BMC Cell Biology (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Usha Narayanan
20 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Physiology 184
- Epidemiology 1.3k
- Molecular Biology 2.1k
- Cell Biology 479
- Genetics 267
Countries citing papers authored by Usha Narayanan
This map shows the geographic impact of Usha Narayanan'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 Usha Narayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Usha Narayanan more than expected).
Fields of papers citing papers by Usha Narayanan
This network shows the impact of papers produced by Usha Narayanan. 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 Usha Narayanan. The network helps show where Usha Narayanan may publish in the future.
Co-authors
The 25 scholars most cited alongside Usha Narayanan, 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 | Regulation of Mammalian Autophagy in Physiology and Pathophysiology Hit paper breakdown → | 2010 | 1427 |
| 2 | 2010 | 270 | |
| 3 | 2010 | 237 | |
| 4 | 2007 | 198 | |
| 5 | 2007 | 187 | |
| 6 | 2008 | 177 | |
| 7 | 2009 | 155 | |
| 8 | 2011 | 130 | |
| 9 | 2004 | 117 | |
| 10 | 2002 | 92 | |
| 11 | 2012 | 85 | |
| 12 | 2003 | 83 | |
| 13 | 2002 | 43 | |
| 14 | 2013 | 41 | |
| 15 | 2011 | 23 | |
| 16 | 2019 | 3 | |
| 17 | 2008 | 3 | |
| 18 | 2019 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2012 | 1 |
About Usha Narayanan
Usha Narayanan is a scholar working on Physiology, Genetics, Molecular Biology, Cell Biology and Oncology, having authored 20 papers that have together received 3.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Cancer-related Molecular Pathways (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Autophagy in Disease and Therapy (3 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Physiology (184 citations), Epidemiology (1.3k citations), Molecular Biology (2.1k citations), Cell Biology (479 citations) and Genetics (267 citations). Usha Narayanan has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Michael A. Milhollen, Sovan Sarkar, Fiona M. Menzies, David C. Rubinsztein, Marie Futter, Shouqing Luo, Benjamin R. Underwood, Vijayalaxmi Nalavadi, Stephen T. Warren and Viktor I. Korolchuk. Their work appears in journals such as Cancer Research, Blood, Molecular Cancer Therapeutics, BMC Cell Biology and Journal of Neuroscience.
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.