Usha Narayanan

20 papers receiving 3.2k citations

Hit Papers

Regulation of Mammalian Autophagy in Physiology and Pathophysiology 2010 · 1.4k citations
1.4k20102026201520204008001.2k

Peers

Usha Narayanan
Comparison fields: 5 of 101
  • Physiology 184
  • Epidemiology 1.3k
  • Molecular Biology 2.1k
  • Cell Biology 479
  • Genetics 267
Replace Ingo Kurth with:
Ingo Kurth Germany
Yoshiharu Kawaguchi Japan
Rika Suzuki-Migishima Japan
Robert Gourlay United Kingdom
Tiemo J. Klisch United States
Tomohiro Kabuta Japan
Zheng Ying China
Vincenzo A. Gennarino United States
Shireen A. Sarraf United States
Gianluca Canettieri Italy
Usha Narayanan relative to Ingo Kurth Germany Ingo Kurth's profile →
Citations per field
00.5×1.6×
Ingo Kurth · 1×
Citations per year

Countries citing papers authored by Usha Narayanan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1
Regulation of Mammalian Autophagy in Physiology and Pathophysiology
Hit paper breakdown →
20101427
2 2010270
3 2010237
4 2007198
5 2007187
6 2008177
7 2009155
8 2011130
9 2004117
10 200292
11 201285
12 200383
13 200243
14 201341
15 201123
16 20193
17 20083
18 20191
19 20211
20 20121

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.

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