Vijay Pandyarajan
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Genetics top 10%
- Cognitive Neuroscience top 10%
- Epidemiology
- Co-authors
- Christine M. GallGary LynchChristopher S. RexLinda PalmerDanielle A. SimmonsLulu Y. ChenEnikö A. KramárJulie C. Lauterborn
- Topics
- Liver Disease Diagnosis and Treatment (3 papers)Diabetes and associated disorders (2 papers)Hepatitis B Virus Studies (2 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United StatesAustraliaBulgaria
In The Last Decade
Vijay Pandyarajan
11 papers receiving 659 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 343
- Cellular and Molecular Neuroscience 246
- Genetics 199
- Cognitive Neuroscience 137
- Epidemiology 81
Countries citing papers authored by Vijay Pandyarajan
This map shows the geographic impact of Vijay Pandyarajan'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 Pandyarajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay Pandyarajan more than expected).
Fields of papers citing papers by Vijay Pandyarajan
This network shows the impact of papers produced by Vijay Pandyarajan. 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 Pandyarajan. The network helps show where Vijay Pandyarajan may publish in the future.
Co-authorship network of co-authors of Vijay Pandyarajan
This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Pandyarajan. A scholar is included among the top collaborators of Vijay Pandyarajan 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 Pandyarajan. Vijay Pandyarajan 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 | 23 | |
| 3 | 30 | |
| 4 | Screening for Nonalcoholic Fatty Liver Disease in the Primary Care Clinic. | 55 |
| 5 | 29 | |
| 6 | 24 | |
| 7 | 25 | |
| 8 | 23 | |
| 9 | 1 | |
| 10 | 32 | |
| 11 | 221 | |
| 12 | 204 |
About Vijay Pandyarajan
Vijay Pandyarajan is a scholar working on Hepatology, Developmental Neuroscience and Physical and Theoretical Chemistry, having authored 12 papers that have together received 667 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (3 papers), Diabetes and associated disorders (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Developmental Neuroscience (75 citations), Cellular and Molecular Neuroscience (246 citations) and Genetics (199 citations). Vijay Pandyarajan has collaborated with scholars based in United States, Australia and Bulgaria. Frequent co-authors include Christine M. Gall, Gary Lynch, Christopher S. Rex, Linda Palmer, Danielle A. Simmons, Lulu Y. Chen, Enikö A. Kramár, Julie C. Lauterborn, Michael A. Weiss and Mazen Noureddin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.