Usha Narayanan
Impact in
- Epidemiology top 2%
- Autophagy in Disease and Therapy
- Physiology top 2%
Papers in
-
- Ubiquitin and proteasome pathways 7
- RNA modifications and cancer 4
- RNA Research and Splicing 3
- DNA Repair Mechanisms 2
- Oncology 4
- Cancer-related Molecular Pathways 3
- Co-authors
- Michael A. Milhollen (6 shared papers)María Jiménez-Sánchez (2 shared papers)Dunecan Massey (2 shared papers)Marie Futter (2 shared papers)Brinda Ravikumar (2 shared papers)Maurizio Renna (2 shared papers)Viktor I. Korolchuk (2 shared papers)Ashley R. Winslow (2 shared papers)
- Journals
- Blood (3 papers)Cancer Research (3 papers)Neuroreport (1 paper)Molecular Cell (1 paper)BMC Cell Biology (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Usha Narayanan
20 papers receiving 3.2k citations
Usha Narayanan's Hit Papers
Peers
Comparison fields: 5 of 100
- Epidemiology 1.2k
- Physiology 171
- Molecular Biology 2.0k
- Cell Biology 447
- Genetics 246
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 | 1433 |
| 2 | 2010 | 272 | |
| 3 | 2010 | 239 | |
| 4 | 2007 | 196 | |
| 5 | 2007 | 188 | |
| 6 | 2008 | 177 | |
| 7 | 2009 | 155 | |
| 8 | 2011 | 130 | |
| 9 | 2004 | 117 | |
| 10 | 2002 | 92 | |
| 11 | 2012 | 86 | |
| 12 | 2003 | 83 | |
| 13 | 2002 | 43 | |
| 14 | 2013 | 41 | |
| 15 | 2011 | 23 | |
| 16 | 2008 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2019 | 1 | |
| 19 | 2012 | 1 | |
| 20 | 2021 | 1 |
About Usha Narayanan
Usha Narayanan is a scholar working on Molecular Biology, Oncology, Genetics, Epidemiology and Cell Biology, 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), Genetics and Neurodevelopmental Disorders (3 papers), Cancer-related Molecular Pathways (3 papers), RNA Research and Splicing (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Autophagy in Disease and Therapy (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Epidemiology (1.2k citations), Physiology (171 citations), Molecular Biology (2.0k citations), Cell Biology (447 citations) and Genetics (246 citations). Usha Narayanan has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Michael A. Milhollen, María Jiménez-Sánchez, Dunecan Massey, Marie Futter, Brinda Ravikumar, Maurizio Renna, Viktor I. Korolchuk, Ashley R. Winslow, David C. Rubinsztein and Fiona M. Menzies. Their work appears in journals such as Blood, Cancer Research, Neuroreport, Molecular Cell and BMC Cell Biology.
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.