Srinivasan Ramachandran
- Physiology top 2%
- Alzheimer's disease research and treatments 22
- Biomaterials top 2%
- Supramolecular Self-Assembly in Materials 11
- Microbiology top 2%
- Molecular Biology top 5%
- Lipid Membrane Structure and Behavior 11
- Protein Structure and Dynamics 7
- vaccines and immunoinformatics approaches 6
- Biological Psychiatry top 10%
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- Force Microscopy Techniques and Applications 9
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- Computational Drug Discovery Methods 5
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- Amyotrophic Lateral Sclerosis Research 4
- Co-authors
- Ratnesh LalFernando Terán ArceRuth NussinovHyunbum JangRicardo CaponeBruce L. KaganArjan P. QuistLaura Connelly
- Cited by
- PhysiologyBiomaterialsMicrobiology
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Srinivasan Ramachandran
68 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 149
- Physiology 1.2k
- Biomaterials 546
- Microbiology 207
- Molecular Biology 1.6k
- Biological Psychiatry 44
Countries citing papers authored by Srinivasan Ramachandran
This map shows the geographic impact of Srinivasan Ramachandran'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 Srinivasan Ramachandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srinivasan Ramachandran more than expected).
Fields of papers citing papers by Srinivasan Ramachandran
This network shows the impact of papers produced by Srinivasan Ramachandran. 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 Srinivasan Ramachandran. The network helps show where Srinivasan Ramachandran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Srinivasan Ramachandran, 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 | 2023 | 4 | |
| 2 | 2020 | 27 | |
| 3 | 2018 | 24 | |
| 4 | 2018 | 4 | |
| 5 | 2016 | 1 | |
| 6 | 2016 | 30 | |
| 7 | 2015 | 0 | |
| 8 | Activity and Architecture of Pyroglutamate-Modified Amyloid-β (AβpE3-42) Pores | 2014 | 2 |
| 9 | 2014 | 2 | |
| 10 | 2013 | 43 | |
| 11 | 2013 | 49 | |
| 12 | 2013 | 33 | |
| 13 | 2012 | 171 | |
| 14 | 2011 | 22 | |
| 15 | 2011 | 73 | |
| 16 | 2011 | 56 | |
| 17 | 2011 | 111 | |
| 18 | 2010 | 20 | |
| 19 | 2009 | 86 | |
| 20 | 2007 | 30 |
About Srinivasan Ramachandran
Srinivasan Ramachandran is a scholar working on Biomaterials, Physiology and Molecular Biology, having authored 69 papers that have together received 2.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (22 papers), Lipid Membrane Structure and Behavior (11 papers), Supramolecular Self-Assembly in Materials (11 papers), Force Microscopy Techniques and Applications (9 papers), Protein Structure and Dynamics (7 papers), vaccines and immunoinformatics approaches (6 papers), Computational Drug Discovery Methods (5 papers) and Amyotrophic Lateral Sclerosis Research (4 papers). The work is most often cited by research in Physiology (1.2k citations), Biomaterials (546 citations) and Microbiology (207 citations). Srinivasan Ramachandran has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Ratnesh Lal, Fernando Terán Arce, Ruth Nussinov, Hyunbum Jang, Ricardo Capone, Bruce L. Kagan, Arjan P. Quist, Laura Connelly, Sungho Jin and Scott John.
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.