Sanjay Agravat
- Co-authors
- David F. SmithRichard D. CummingsJoel SaltzXuezheng SongCarsten KettnerRyan McBrideRené RanzingerJoel H. Saltz
- Topics
- Glycosylation and Glycoproteins Research (4 papers)Biomedical Text Mining and Ontologies (4 papers)Electronic Health Records Systems (3 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Sanjay Agravat
10 papers receiving 224 citations
Peers
Comparison fields: 5 of 59
- Molecular Biology 176
- Organic Chemistry 70
- Immunology 53
- Spectroscopy 31
- Cell Biology 19
Countries citing papers authored by Sanjay Agravat
This map shows the geographic impact of Sanjay Agravat'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 Sanjay Agravat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Agravat more than expected).
Fields of papers citing papers by Sanjay Agravat
This network shows the impact of papers produced by Sanjay Agravat. 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 Sanjay Agravat. The network helps show where Sanjay Agravat may publish in the future.
Co-authorship network of co-authors of Sanjay Agravat
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Agravat. A scholar is included among the top collaborators of Sanjay Agravat 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 Sanjay Agravat. Sanjay Agravat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | Metadata-driven Clinical Data Loading into i2b2 for Clinical and Translational Science Institutes. | 9 |
| 3 | 37 | |
| 4 | Temporal abstraction-based clinical phenotyping with Eureka! | 12 |
| 5 | Clinical Phenotyping with the Analytic Information Warehouse. | 1 |
| 6 | 88 | |
| 7 | Semantic ETL into i2b2 with Eureka! | 10 |
| 8 | 47 | |
| 9 | 8 | |
| 10 | 7 |
About Sanjay Agravat
Sanjay Agravat is a scholar working on Health Information Management, Information Systems and Management and Statistics and Probability, having authored 10 papers that have together received 230 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Electronic Health Records Systems (3 papers). The work is most often cited by research in Health Information Management (16 citations), Molecular Biology (176 citations) and Immunology (53 citations). Sanjay Agravat has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include David F. Smith, Richard D. Cummings, Joel Saltz, Xuezheng Song, Carsten Kettner, Ryan McBride, René Ranzinger, Joel H. Saltz, Masaki Kato and Weston B. Struwe. Their work appears in journals such as Bioinformatics, Molecular & Cellular Proteomics and Journal of Neuroscience Methods.
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.