Shilpa Sambashivan
- Physiology top 1%
- Alzheimer's disease research and treatments 5
- Biomaterials top 2%
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Neurological diseases and metabolism 2
- Botulinum Toxin and Related Neurological Disorders 2
- Molecular Biology top 5%
- Prion Diseases and Protein Misfolding 4
- Protein Structure and Dynamics 2
- Biological Psychiatry top 10%
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- Inflammation biomarkers and pathways 2
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- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- M.R. SawayaDavid EisenbergRebecca A. NelsonMelinda BalbirnieAnders Ø. MadsenMagdalena I. IvanovaChristian RiekelStuart A. Sievers
- Cited by
- PhysiologyBiomaterialsNeurology
- Journals
- Journal of Biological Chemistry (3 papers)Nature (2 papers)Accounts of Chemical Research (1 paper)
- Partner nations
- United StatesDenmarkCanada
In The Last Decade
Shilpa Sambashivan
14 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Physiology 1.4k
- Biomaterials 636
- Neurology 380
- Molecular Biology 1.9k
- Biological Psychiatry 32
Countries citing papers authored by Shilpa Sambashivan
This map shows the geographic impact of Shilpa Sambashivan'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 Shilpa Sambashivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shilpa Sambashivan more than expected).
Fields of papers citing papers by Shilpa Sambashivan
This network shows the impact of papers produced by Shilpa Sambashivan. 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 Shilpa Sambashivan. The network helps show where Shilpa Sambashivan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shilpa Sambashivan, 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 | 2022 | 40 | |
| 2 | 2021 | 96 | |
| 3 | 2021 | 28 | |
| 4 | 2020 | 86 | |
| 5 | 2018 | 98 | |
| 6 | 2018 | 69 | |
| 7 | 2013 | 1 | |
| 8 | 2011 | 23 | |
| 9 | 2011 | 25 | |
| 10 | Atomic structures of amyloid cross-β spines reveal varied steric zippersbreakdown → | 2007 | 1885 |
| 11 | 2006 | 3 | |
| 12 | 2006 | 148 | |
| 13 | 2005 | 210 | |
| 14 | 2005 | 3 |
About Shilpa Sambashivan
Shilpa Sambashivan is a scholar working on Neurology, Cell Biology, Physiology, Physiology and Endocrine and Autonomic Systems, having authored 14 papers that have together received 2.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Prion Diseases and Protein Misfolding (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Inflammation biomarkers and pathways (2 papers), Protein Structure and Dynamics (2 papers), Neurological diseases and metabolism (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Physiology (1.4k citations), Biomaterials (636 citations), Neurology (380 citations), Molecular Biology (1.9k citations) and Biological Psychiatry (32 citations). Shilpa Sambashivan has collaborated with scholars based in United States, Denmark and Canada. Frequent co-authors include M.R. Sawaya, David Eisenberg, Rebecca A. Nelson, Melinda Balbirnie, Anders Ø. Madsen, Magdalena I. Ivanova, Christian Riekel, Stuart A. Sievers, Michael J. Thompson and Marcin I. Apostol. Their work appears in journals such as Journal of Biological Chemistry, Nature, Accounts of Chemical Research, Cell Reports and Toxicon.
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.