Sushrut Kamerkar
- Molecular Biology top 2%
- Cancer Research top 1%
- Biomedical Engineering top 10%
- Immunology top 10%
- Oncology
- Co-authors
- Raghu KalluriValerie S. LeBleuHikaru SugimotoSujuan YangCarolina F. RuivoJ. Jack LeeSónia A. MeloKathleen M. McAndrews
- Topics
- Extracellular vesicles in disease (6 papers)RNA Interference and Gene Delivery (3 papers)MicroRNA in disease regulation (3 papers)
- Journals
- NatureSHILAP Revista de lepidopterologíaCancer Research
- Partner nations
- United StatesItalyHungary
In The Last Decade
Sushrut Kamerkar
9 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 2.6k
- Cancer Research 1.6k
- Biomedical Engineering 450
- Immunology 418
- Oncology 230
Countries citing papers authored by Sushrut Kamerkar
This map shows the geographic impact of Sushrut Kamerkar'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 Sushrut Kamerkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushrut Kamerkar more than expected).
Fields of papers citing papers by Sushrut Kamerkar
This network shows the impact of papers produced by Sushrut Kamerkar. 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 Sushrut Kamerkar. The network helps show where Sushrut Kamerkar may publish in the future.
Co-authorship network of co-authors of Sushrut Kamerkar
This figure shows the co-authorship network connecting the top 25 collaborators of Sushrut Kamerkar. A scholar is included among the top collaborators of Sushrut Kamerkar 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 Sushrut Kamerkar. Sushrut Kamerkar 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 | Exosome-mediated genetic reprogramming of tumor-associated macrophages by exoASO-STAT6 leads to potent monotherapy antitumor activitybreakdown → | 190 |
| 3 | 0 | |
| 4 | 4 | |
| 5 | Generation and testing of clinical-grade exosomes for pancreatic cancerbreakdown → | 633 |
| 6 | Exosomes facilitate therapeutic targeting of oncogenic KRAS in pancreatic cancerbreakdown → | 2033 |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 57 |
About Sushrut Kamerkar
Sushrut Kamerkar is a scholar working on Virology, Cancer Research and Immunology, having authored 10 papers that have together received 2.9k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (6 papers), RNA Interference and Gene Delivery (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (1.6k citations), Molecular Biology (2.6k citations) and Immunology (418 citations). Sushrut Kamerkar has collaborated with scholars based in United States, Italy and Hungary. Frequent co-authors include Raghu Kalluri, Valerie S. LeBleu, Hikaru Sugimoto, Sujuan Yang, Carolina F. Ruivo, J. Jack Lee, Sónia A. Melo, Kathleen M. McAndrews, Elizabeth J. Shpall and Joseph R. Marszalek. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Cancer Research.
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.