Saravanakumar Narayanan
Impact in
- Physiology top 5%
- Alzheimer's disease research and treatments
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- Protein Structure and Dynamics
- Prion Diseases and Protein Misfolding
- Heat shock proteins research
- Protein purification and stability
Papers in
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- Alzheimer's disease research and treatments 6
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- Prion Diseases and Protein Misfolding 3
- Heat shock proteins research 1
- Protein Structure and Dynamics 1
- Co-authors
- Bernd Reif (6 shared papers)Michael S. Wolfe (4 shared papers)Christopher Martin Dobson (1 shared paper)Jesús Zurdo (1 shared paper)Stefan Walter (2 shared papers)Elisa Giannoni (1 shared paper)Salvador Ventura (1 shared paper)Francesc Xavier Avilés (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Proceedings of the National Academy of Sciences (2 papers)FEBS Letters (1 paper)Neuron (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Saravanakumar Narayanan
11 papers receiving 773 citations
Peers
Comparison fields: 5 of 58
- Physiology 355
- Molecular Biology 349
- Neurology 68
- Cancer Research 38
- Spectroscopy 26
Countries citing papers authored by Saravanakumar Narayanan
This map shows the geographic impact of Saravanakumar 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 Saravanakumar Narayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saravanakumar Narayanan more than expected).
Fields of papers citing papers by Saravanakumar Narayanan
This network shows the impact of papers produced by Saravanakumar 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 Saravanakumar Narayanan. The network helps show where Saravanakumar Narayanan may publish in the future.
Co-authors
The 24 scholars most cited alongside Saravanakumar 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 | 2004 | 222 | |
| 2 | 2007 | 149 | |
| 3 | 2005 | 113 | |
| 4 | 2019 | 80 | |
| 5 | 2007 | 61 | |
| 6 | 2006 | 51 | |
| 7 | 2003 | 34 | |
| 8 | 2006 | 33 | |
| 9 | 2011 | 27 | |
| 10 | 2008 | 17 | |
| 11 | 2006 | 1 |
About Saravanakumar Narayanan
Saravanakumar Narayanan is a scholar working on Physiology, Molecular Biology, Cancer Research, Neurology and Psychiatry and Mental health, having authored 11 papers that have together received 788 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Prion Diseases and Protein Misfolding (3 papers), Protease and Inhibitor Mechanisms (1 paper), Schizophrenia research and treatment (1 paper), Heat shock proteins research (1 paper), Protein Structure and Dynamics (1 paper) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Physiology (355 citations), Molecular Biology (349 citations), Neurology (68 citations), Cancer Research (38 citations) and Spectroscopy (26 citations). Saravanakumar Narayanan has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Bernd Reif, Michael S. Wolfe, Christopher Martin Dobson, Jesús Zurdo, Stefan Walter, Elisa Giannoni, Salvador Ventura, Francesc Xavier Avilés, Luis G. Serrano and Fabrizio Chiti. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, FEBS Letters, Neuron and Biochemistry.
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.