Vijay K. Ramanan
- Physiology top 5%
- Molecular Biology
- Psychiatry and Mental health top 2%
- Genetics top 10%
- Neurology top 10%
- Co-authors
- Andrew J. SaykinLi ShenClifford R. JackJason H. MoorePrashanthi VemuriRonald C. PetersenGregory S. DayDavid S. Knopman
- Topics
- Alzheimer's disease research and treatments (29 papers)Dementia and Cognitive Impairment Research (25 papers)Genetic Associations and Epidemiology (14 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Vijay K. Ramanan
51 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 110
- Physiology 694
- Molecular Biology 574
- Psychiatry and Mental health 475
- Genetics 284
- Neurology 179
Countries citing papers authored by Vijay K. Ramanan
This map shows the geographic impact of Vijay K. Ramanan'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 Vijay K. Ramanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay K. Ramanan more than expected).
Fields of papers citing papers by Vijay K. Ramanan
This network shows the impact of papers produced by Vijay K. Ramanan. 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 Vijay K. Ramanan. The network helps show where Vijay K. Ramanan may publish in the future.
Co-authorship network of co-authors of Vijay K. Ramanan
This figure shows the co-authorship network connecting the top 25 collaborators of Vijay K. Ramanan. A scholar is included among the top collaborators of Vijay K. Ramanan 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 Vijay K. Ramanan. Vijay K. Ramanan 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 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 29 | |
| 8 | 7 | |
| 9 | 42 | |
| 10 | 79 | |
| 11 | 45 | |
| 12 | 67 | |
| 13 | 3 | |
| 14 | 15 | |
| 15 | 13 | |
| 16 | 72 | |
| 17 | 15 | |
| 18 | 14 | |
| 19 | FASTKD2 and human memory: functional pathways and prospects for novel therapeutic target development for Alzheimer's disease and age-associated memory decline | 1 |
| 20 | 146 |
About Vijay K. Ramanan
Vijay K. Ramanan is a scholar working on Psychiatry and Mental health, Physiology and Neurology, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (29 papers), Dementia and Cognitive Impairment Research (25 papers) and Genetic Associations and Epidemiology (14 papers). The work is most often cited by research in Psychiatry and Mental health (475 citations), Physiology (694 citations) and Biological Psychiatry (56 citations). Vijay K. Ramanan has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Andrew J. Saykin, Li Shen, Clifford R. Jack, Jason H. Moore, Prashanthi Vemuri, Ronald C. Petersen, Gregory S. Day, David S. Knopman, Kwangsik Nho and Jonathan Graff‐Radford. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and Brain.
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.