Kumar Sambamurti
- Physiology top 0.2%
- Molecular Biology top 2%
- Pharmacology top 0.1%
- Cellular and Molecular Neuroscience top 1%
- Computational Theory and Mathematics top 0.2%
- Co-authors
- Debomoy K. LahiriNigel H. GreigMiguel A. PappollaLorenzo M. RefoloHarold W. HollowayArnold BrossiChristopher B. EckmanDavid Tweedie
- Topics
- Alzheimer's disease research and treatments (81 papers)Cholinesterase and Neurodegenerative Diseases (33 papers)Computational Drug Discovery Methods (17 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Kumar Sambamurti
128 papers receiving 10.4k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Physiology 5.2k
- Molecular Biology 3.7k
- Pharmacology 2.6k
- Cellular and Molecular Neuroscience 1.6k
- Computational Theory and Mathematics 1.5k
Countries citing papers authored by Kumar Sambamurti
This map shows the geographic impact of Kumar Sambamurti'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 Kumar Sambamurti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Sambamurti more than expected).
Fields of papers citing papers by Kumar Sambamurti
This network shows the impact of papers produced by Kumar Sambamurti. 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 Kumar Sambamurti. The network helps show where Kumar Sambamurti may publish in the future.
Co-authorship network of co-authors of Kumar Sambamurti
This figure shows the co-authorship network connecting the top 25 collaborators of Kumar Sambamurti. A scholar is included among the top collaborators of Kumar Sambamurti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kumar Sambamurti. Kumar Sambamurti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 16 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | Incretin mimetics as pharmacological tools to elucidate and as a new drug strategy to treat traumatic brain injury | 25 |
| 7 | 11 | |
| 8 | GLP-1 receptor stimulation preserves primary cortical and dopaminergic neurons in cellular and rodent models of stroke and Parkinsonismbreakdown → | 502 |
| 9 | 25 | |
| 10 | Amyloid Precursor Protein Metabolism in Retinal Degeneration | 1 |
| 11 | 49 | |
| 12 | 230 | |
| 13 | 300 | |
| 14 | 126 | |
| 15 | Hypercholesterolemia Accelerates the Alzheimer's Amyloid Pathology in a Transgenic Mouse Modelbreakdown → | 825 |
| 16 | 45 | |
| 17 | 10 | |
| 18 | 51 | |
| 19 | 29 | |
| 20 | 173 |
About Kumar Sambamurti
Kumar Sambamurti is a scholar working on Physiology, Biological Psychiatry and Pharmacology, having authored 130 papers that have together received 10.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (81 papers), Cholinesterase and Neurodegenerative Diseases (33 papers) and Computational Drug Discovery Methods (17 papers). The work is most often cited by research in Physiology (5.2k citations), Biological Psychiatry (497 citations) and Pharmacology (2.6k citations). Kumar Sambamurti has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Debomoy K. Lahiri, Nigel H. Greig, Miguel A. Pappolla, Lorenzo M. Refolo, Harold W. Holloway, Arnold Brossi, Christopher B. Eckman, David Tweedie, A. Prakasam and Mark P. Mattson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.