Sandeep K. Tripathy
- Molecular Biology top 10%
- Genetics top 2%
- Immunology top 5%
- Oncology top 10%
- Epidemiology
- Co-authors
- Jeffrey M. LeidenHugh B. BlackEugene GoldwasserEmily BarrE. C. SvenssonJessica CarrollKaren KozarskyJames M. Wilson
- Topics
- Immune Cell Function and Interaction (10 papers)T-cell and B-cell Immunology (8 papers)Virus-based gene therapy research (6 papers)
- Cited by
- GeneticsImmunologyMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesNature MedicineThe Journal of Experimental Medicine
- Partner nations
- United StatesIndia
In The Last Decade
Sandeep K. Tripathy
20 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Molecular Biology 919
- Genetics 820
- Immunology 429
- Oncology 256
- Epidemiology 156
Countries citing papers authored by Sandeep K. Tripathy
This map shows the geographic impact of Sandeep K. Tripathy'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 Sandeep K. Tripathy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep K. Tripathy more than expected).
Fields of papers citing papers by Sandeep K. Tripathy
This network shows the impact of papers produced by Sandeep K. Tripathy. 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 Sandeep K. Tripathy. The network helps show where Sandeep K. Tripathy may publish in the future.
Co-authorship network of co-authors of Sandeep K. Tripathy
This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep K. Tripathy. A scholar is included among the top collaborators of Sandeep K. Tripathy 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 Sandeep K. Tripathy. Sandeep K. Tripathy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 48 | |
| 6 | 1 | |
| 7 | 101 | |
| 8 | 3 | |
| 9 | 27 | |
| 10 | 6 | |
| 11 | 16 | |
| 12 | 126 | |
| 13 | 38 | |
| 14 | 82 | |
| 15 | Immune responses to transgene–encoded proteins limit the stability of gene expression after injection of replication–defective adenovirus vectorsbreakdown → | 564 |
| 16 | 38 | |
| 17 | 154 | |
| 18 | Efficient catheter-mediated gene transfer into the heart using replication-defective adenovirus. | 232 |
| 19 | 105 | |
| 20 | 48 |
About Sandeep K. Tripathy
Sandeep K. Tripathy is a scholar working on Immunology, Genetics and Hematology, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (8 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Genetics (820 citations), Immunology (429 citations) and Molecular Biology (919 citations). Sandeep K. Tripathy has collaborated with scholars based in United States and India. Frequent co-authors include Jeffrey M. Leiden, Hugh B. Black, Eugene Goldwasser, Emily Barr, E. C. Svensson, Jessica Carroll, Karen Kozarsky, James M. Wilson, Wayne M. Yokoyama and Jeanette T. Pingel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Experimental Medicine.
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.