Sushmita Chatterjee
Impact in
- Pharmaceutical Science top 5%
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- RNA Interference and Gene Delivery 7
- Advanced biosensing and bioanalysis techniques 3
- Metabolism, Diabetes, and Cancer 1
- Oncology 4
- Cancer-related Molecular Pathways 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)Gonna Somu Naidu (6 shared papers)Abhijit De (5 shared papers)Meir Goldsmith (8 shared papers)
- Journals
- Advanced Materials (4 papers)Small (2 papers)Nanoscale (1 paper)Frontiers in bioscience (1 paper)Breast Cancer Targets and Therapy (1 paper)
- Partner nations
- IsraelIndiaSouth Korea
In The Last Decade
Sushmita Chatterjee
18 papers receiving 829 citations
Sushmita Chatterjee's Hit Papers
Peers
Comparison fields: 5 of 92
- Pharmaceutical Science 62
- Biomaterials 131
- Molecular Biology 623
- Immunology 153
- Cancer Research 75
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 | 233 |
| 2 | 2020 | 181 | |
| 3 | 2023 | 73 | |
| 4 | 2013 | 66 | |
| 5 | 2013 | 55 | |
| 6 | 2022 | 54 | |
| 7 | 2021 | 46 | |
| 8 | 2021 | 41 | |
| 9 | 2019 | 21 | |
| 10 | 2020 | 18 | |
| 11 | 2023 | 15 | |
| 12 | 2015 | 14 | |
| 13 | 2017 | 13 | |
| 14 | 2019 | 6 | |
| 15 | 2020 | 4 | |
| 16 | 2014 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2021 | 1 |
About Sushmita Chatterjee
Sushmita Chatterjee is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 847 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (3 papers), MicroRNA in disease regulation (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer-related Molecular Pathways (2 papers), Immunotherapy and Immune Responses (2 papers), Immune cells in cancer (2 papers) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Pharmaceutical Science (62 citations), Biomaterials (131 citations), Molecular Biology (623 citations), Immunology (153 citations) and Cancer Research (75 citations). Sushmita Chatterjee has collaborated with scholars based in Israel, India and South Korea. Frequent co-authors include Edo Kon, Preeti Sharma, Dan Peer, Srinivas Ramishetti, Inbal Hazan‐Halevy, Gonna Somu Naidu, Abhijit De, Meir Goldsmith, Niels Dammes and Dganit Danino. Their work appears in journals such as Advanced Materials, Small, Nanoscale, Frontiers in bioscience and Breast Cancer Targets and Therapy.
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.