Usha Narayanan
Impact in
- Molecular Biology top 2%
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- RNA modifications and cancer
- RNA Research and Splicing
- Epidemiology top 2%
- Autophagy in Disease and Therapy
Papers in
-
- Ubiquitin and proteasome pathways 10
- RNA modifications and cancer 4
- Protein Degradation and Inhibitors 3
- RNA Research and Splicing 3
- Co-authors
- Michael A. Milhollen (7 shared papers)Shouqing Luo (2 shared papers)Maurizio Renna (2 shared papers)Viktor I. Korolchuk (2 shared papers)David Chaim Rubinsztein (2 shared papers)Fiona M. Menzies (2 shared papers)Marie Futter (2 shared papers)María Jiménez-Sánchez (2 shared papers)
- Journals
- Blood (4 papers)Cancer Research (3 papers)Nature (1 paper)Cancer Cell (1 paper)EMBO Reports (1 paper)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
Usha Narayanan
22 papers receiving 5.1k citations
Usha Narayanan's Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 3.6k
- Epidemiology 1.5k
- Physiology 190
- Cell Biology 671
- Oncology 888
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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An inhibitor of NEDD8-activating enzyme as a new approach to treat cancer Hit paper breakdown → | 2009 | 1697 |
| 2 | Regulation of Mammalian Autophagy in Physiology and Pathophysiology Hit paper breakdown → | 2010 | 1506 |
| 3 | 2010 | 291 | |
| 4 | 2010 | 250 | |
| 5 | 2007 | 210 | |
| 6 | 2007 | 194 | |
| 7 | 2008 | 183 | |
| 8 | 2009 | 156 | |
| 9 | 2011 | 134 | |
| 10 | 2004 | 119 | |
| 11 | 2012 | 102 | |
| 12 | 2002 | 97 | |
| 13 | 2003 | 89 | |
| 14 | 2012 | 89 | |
| 15 | 2002 | 45 | |
| 16 | 2013 | 44 | |
| 17 | 2011 | 25 | |
| 18 | 2008 | 4 | |
| 19 | 2019 | 1 | |
| 20 | 2012 | 1 |
About Usha Narayanan
Usha Narayanan is a scholar working on Molecular Biology, Cell Biology, Genetics, Oncology and Physiology, having authored 22 papers that have together received 5.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), RNA modifications and cancer (4 papers), Cancer-related Molecular Pathways (4 papers), Protein Degradation and Inhibitors (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Autophagy in Disease and Therapy (3 papers), Neurogenetic and Muscular Disorders Research (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Molecular Biology (3.6k citations), Epidemiology (1.5k citations), Physiology (190 citations), Cell Biology (671 citations) and Oncology (888 citations). Usha Narayanan has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Michael A. Milhollen, Shouqing Luo, Maurizio Renna, Viktor I. Korolchuk, David Chaim Rubinsztein, Fiona M. Menzies, Marie Futter, María Jiménez-Sánchez, Benjamin R. Underwood and Sovan Sarkar. Their work appears in journals such as Blood, Cancer Research, Nature, Cancer Cell and EMBO Reports.
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.