Sushmita Chatterjee
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Pharmaceutical Science top 5%
Papers in
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- RNA Interference and Gene Delivery 7
- Advanced biosensing and bioanalysis techniques 3
- Glycosylation and Glycoproteins Research 1
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- Immune cells in cancer 2
- Immunotherapy and Immune Responses 2
- Co-authors
- Edo Kon (2 shared papers)Preeti Sharma (1 shared paper)Dan Peer (9 shared papers)Srinivas Ramishetti (9 shared papers)Inbal Hazan‐Halevy (7 shared papers)Abhijit De (5 shared papers)Meir Goldsmith (8 shared papers)Dganit Danino (2 shared papers)
In The Last Decade
Sushmita Chatterjee
18 papers receiving 929 citations
Sushmita Chatterjee's Hit Papers
Peers
Comparison fields: 5 of 90
- Biomaterials 137
- Pharmaceutical Science 62
- Molecular Biology 666
- Immunology 156
- Cancer Research 72
Countries citing papers authored by Sushmita Chatterjee
This map shows the geographic impact of Sushmita Chatterjee'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 Sushmita Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushmita Chatterjee more than expected).
Fields of papers citing papers by Sushmita Chatterjee
This network shows the impact of papers produced by Sushmita Chatterjee. 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 Sushmita Chatterjee. The network helps show where Sushmita Chatterjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Sushmita Chatterjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Endosomal escape: A bottleneck for LNP-mediated therapeutics Hit paper breakdown → | 2024 | 300 |
| 2 | 2020 | 187 | |
| 3 | 2023 | 74 | |
| 4 | 2013 | 73 | |
| 5 | 2022 | 56 | |
| 6 | 2013 | 56 | |
| 7 | 2021 | 51 | |
| 8 | 2021 | 43 | |
| 9 | 2019 | 22 | |
| 10 | 2020 | 18 | |
| 11 | 2015 | 16 | |
| 12 | 2023 | 15 | |
| 13 | 2017 | 15 | |
| 14 | 2019 | 8 | |
| 15 | 2014 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2021 | 1 |
About Sushmita Chatterjee
Sushmita Chatterjee is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Infectious Diseases, having authored 18 papers that have together received 946 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (3 papers), Immune cells in cancer (2 papers), Immunotherapy and Immune Responses (2 papers), MicroRNA in disease regulation (2 papers), Glycosylation and Glycoproteins Research (1 paper), Microtubule and mitosis dynamics (1 paper) and Calcium signaling and nucleotide metabolism (1 paper). The work is most often cited by research in Biomaterials (137 citations), Pharmaceutical Science (62 citations), Molecular Biology (666 citations), Immunology (156 citations) and Cancer Research (72 citations). Sushmita Chatterjee has collaborated with scholars based in Israel, India and Germany. Frequent co-authors include Edo Kon, Preeti Sharma, Dan Peer, Srinivas Ramishetti, Inbal Hazan‐Halevy, Abhijit De, Meir Goldsmith, Dganit Danino, Niels Dammes and Vandana Patravale. Their work appears in journals such as Advanced Materials, Small, Science Advances, Breast Cancer Targets and Therapy and Frontiers in bioscience.
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.