Prabhakar S. Andhey
- Immunology top 5%
- Molecular Biology
- Neurology top 2%
- Physiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Maxim N. ArtyomovAmanda SwainKonstantin ZaitsevMonika BambouskováMarco ColonnaIrina ShchukinaKory J. LavineMelissa Manis
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (6 papers)Single-cell and spatial transcriptomics (4 papers)Immune cells in cancer (4 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Prabhakar S. Andhey
16 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Immunology 636
- Molecular Biology 564
- Neurology 309
- Physiology 275
- Cardiology and Cardiovascular Medicine 159
Countries citing papers authored by Prabhakar S. Andhey
This map shows the geographic impact of Prabhakar S. Andhey'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 Prabhakar S. Andhey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabhakar S. Andhey more than expected).
Fields of papers citing papers by Prabhakar S. Andhey
This network shows the impact of papers produced by Prabhakar S. Andhey. 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 Prabhakar S. Andhey. The network helps show where Prabhakar S. Andhey may publish in the future.
Co-authorship network of co-authors of Prabhakar S. Andhey
This figure shows the co-authorship network connecting the top 25 collaborators of Prabhakar S. Andhey. A scholar is included among the top collaborators of Prabhakar S. Andhey 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 Prabhakar S. Andhey. Prabhakar S. Andhey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 38 | |
| 4 | 30 | |
| 5 | Single-cell transcriptomics reveals cell-type-specific diversification in human heart failurebreakdown → | 225 |
| 6 | 84 | |
| 7 | Selective removal of astrocytic APOE4 strongly protects against tau-mediated neurodegeneration and decreases synaptic phagocytosis by microgliabreakdown → | 202 |
| 8 | 24 | |
| 9 | 6 | |
| 10 | 213 | |
| 11 | 72 | |
| 12 | Comprehensive Profiling of an Aging Immune System Reveals Clonal GZMK+ CD8+ T Cells as Conserved Hallmark of Inflammagingbreakdown → | 348 |
| 13 | 8 | |
| 14 | 132 | |
| 15 | 1 | |
| 16 | 90 |
About Prabhakar S. Andhey
Prabhakar S. Andhey is a scholar working on Neurology, Immunology and Developmental Neuroscience, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Single-cell and spatial transcriptomics (4 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Neurology (309 citations), Biological Psychiatry (79 citations) and Immunology (636 citations). Prabhakar S. Andhey has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Maxim N. Artyomov, Amanda Swain, Konstantin Zaitsev, Monika Bambousková, Marco Colonna, Irina Shchukina, Kory J. Lavine, Melissa Manis, Ekaterina Esaulova and Jason D. Ulrich. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.