Saravanakumar Narayanan
Impact in
- Physiology top 10%
- Alzheimer's disease research and treatments
-
- Protein Structure and Dynamics
- Prion Diseases and Protein Misfolding
Papers in
-
- Prion Diseases and Protein Misfolding 3
- Chemical Synthesis and Analysis 2
- Biochemical and Structural Characterization 1
- Oncology 2
- Peptidase Inhibition and Analysis 2
- Co-authors
- Bernd Reif (5 shared papers)Michael S. Wolfe (4 shared papers)Toru Sato (3 shared papers)Matilde Parreño (1 shared paper)Ramón Mangues (1 shared paper)Christopher M. Dobson (1 shared paper)Stefan Walter (2 shared papers)Fabrizio Chiti (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Proceedings of the National Academy of Sciences (2 papers)Biochemistry (1 paper)FEBS Letters (1 paper)ChemBioChem (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Saravanakumar Narayanan
9 papers receiving 655 citations
Peers
Comparison fields: 5 of 75
- Physiology 353
- Molecular Biology 510
- Cell Biology 102
- Biomaterials 65
- Computational Theory and Mathematics 55
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 | 205 | |
| 2 | 2007 | 139 | |
| 3 | 2005 | 108 | |
| 4 | 2007 | 58 | |
| 5 | 2006 | 47 | |
| 6 | 2006 | 32 | |
| 7 | 2003 | 32 | |
| 8 | 2011 | 24 | |
| 9 | 2008 | 16 |
About Saravanakumar Narayanan
Saravanakumar Narayanan is a scholar working on Molecular Biology, Oncology, Physiology, Nutrition and Dietetics and Materials Chemistry, having authored 9 papers that have together received 661 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (3 papers), Peptidase Inhibition and Analysis (2 papers), Trace Elements in Health (2 papers), Alzheimer's disease research and treatments (2 papers), Enzyme Structure and Function (2 papers), Chemical Synthesis and Analysis (2 papers), Biochemical and Structural Characterization (1 paper) and Advanced NMR Techniques and Applications (1 paper). The work is most often cited by research in Physiology (353 citations), Molecular Biology (510 citations), Cell Biology (102 citations), Biomaterials (65 citations) and Computational Theory and Mathematics (55 citations). Saravanakumar Narayanan has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Bernd Reif, Michael S. Wolfe, Toru Sato, Matilde Parreño, Ramón Mangues, Christopher M. Dobson, Stefan Walter, Fabrizio Chiti, Francesc Avilés and Jesús Zurdo. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochemistry, FEBS Letters and ChemBioChem.
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.