Kiran Yanamandra
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments 5
- Neurological diseases and metabolism 2
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Physiology top 2%
- Alzheimer's disease research and treatments 13
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments 5
- Neurological diseases and metabolism 2
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Biological Psychiatry top 10%
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- S100 Proteins and Annexins 4
- Prion Diseases and Protein Misfolding 3
- Machine Learning in Bioinformatics 1
- Pluripotent Stem Cells Research 1
- Co-authors
- Marc I. DiamondNajla KfouryLudmilla A. Morozova‐RocheDavid F. WozniakThomas E. MahanSusan E. MaloneyDavid M. HoltzmanSheng‐mei Ma
- Cited by
- NeurologyPhysiology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Neuron (2 papers)
- Partner nations
- SwedenRussiaUnited States
In The Last Decade
Kiran Yanamandra
17 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Neurology 613
- Physiology 1.2k
- Neurology 575
- Cellular and Molecular Neuroscience 479
- Biological Psychiatry 53
Countries citing papers authored by Kiran Yanamandra
This map shows the geographic impact of Kiran Yanamandra'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 Kiran Yanamandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiran Yanamandra more than expected).
Fields of papers citing papers by Kiran Yanamandra
This network shows the impact of papers produced by Kiran Yanamandra. 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 Kiran Yanamandra. The network helps show where Kiran Yanamandra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kiran Yanamandra, 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 | 2021 | 17 | |
| 2 | 2020 | 96 | |
| 3 | 2015 | 133 | |
| 4 | PARKINSON'S DISEASE PROGRESSION | 2014 | 9 |
| 5 | Heparan sulfate proteoglycans mediate internalization and propagation of specific proteopathic seedsbreakdown → | 2013 | 649 |
| 6 | 2013 | 430 | |
| 7 | 2013 | 8 | |
| 8 | 2013 | 13 | |
| 9 | 2012 | 33 | |
| 10 | 2012 | 1 | |
| 11 | 2012 | 34 | |
| 12 | 2011 | 134 | |
| 13 | 2011 | 89 | |
| 14 | 2009 | 18 | |
| 15 | 2009 | 95 | |
| 16 | 2007 | 72 | |
| 17 | 2006 | 183 |
About Kiran Yanamandra
Kiran Yanamandra is a scholar working on Physiology, Neurology and Neurology, having authored 17 papers that have together received 2.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (13 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), S100 Proteins and Annexins (4 papers), Prion Diseases and Protein Misfolding (3 papers), Neurological diseases and metabolism (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Machine Learning in Bioinformatics (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Neurology (613 citations), Physiology (1.2k citations) and Neurology (575 citations). Kiran Yanamandra has collaborated with scholars based in Sweden, Russia and United States. Frequent co-authors include Marc I. Diamond, Najla Kfoury, Ludmilla A. Morozova‐Roche, David F. Wozniak, Thomas E. Mahan, Susan E. Maloney, David M. Holtzman, Sheng‐mei Ma, Hong Jiang and Dulce Papy-García. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.
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.