Srinivas Ramishetti
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Molecular Biology top 5%
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
Papers in
- Immunology 20
- Immunotherapy and Immune Responses 17
-
- RNA Interference and Gene Delivery 32
- Advanced biosensing and bioanalysis techniques 14
- Lipid Membrane Structure and Behavior 3
- Co-authors
- Dan PeerMeir GoldsmithNuphar VeigaRanit KedmiDaniel RosenblumLeaf HuangNiels DammesZvi R. Cohen
- Journals
- ACS Nano (5 papers)Journal of Controlled Release (5 papers)Advanced Materials (4 papers)Molecular Pharmaceutics (2 papers)Nature Communications (2 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Srinivas Ramishetti
42 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Biomaterials 494
- Molecular Biology 2.1k
- Immunology 642
- Genetics 372
- Pharmaceutical Science 76
Countries citing papers authored by Srinivas Ramishetti
This map shows the geographic impact of Srinivas Ramishetti'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 Srinivas Ramishetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srinivas Ramishetti more than expected).
Fields of papers citing papers by Srinivas Ramishetti
This network shows the impact of papers produced by Srinivas Ramishetti. 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 Srinivas Ramishetti. The network helps show where Srinivas Ramishetti may publish in the future.
Co-authors
The 25 scholars most cited alongside Srinivas Ramishetti, 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 | 2025 | 2 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 73 | |
| 4 | 2023 | 12 | |
| 5 | 2022 | 23 | |
| 6 | 2021 | 84 | |
| 7 | 2021 | 41 | |
| 8 | 2021 | 122 | |
| 9 | CRISPR-Cas9 genome editing using targeted lipid nanoparticles for cancer therapy Hit paper breakdown → | 2020 | 430 |
| 10 | 2020 | 0 | |
| 11 | 2019 | 5 | |
| 12 | 2019 | 46 | |
| 13 | 2018 | 25 | |
| 14 | 2018 | 249 | |
| 15 | 2015 | 60 | |
| 16 | 2015 | 160 | |
| 17 | 2013 | 192 | |
| 18 | 2013 | 38 | |
| 19 | 2012 | 47 | |
| 20 | 2009 | 119 |
About Srinivas Ramishetti
Srinivas Ramishetti is a scholar working on Immunology, Molecular Biology, Biomaterials, Infectious Diseases and Cancer Research, having authored 44 papers that have together received 2.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (32 papers), Immunotherapy and Immune Responses (17 papers), Advanced biosensing and bioanalysis techniques (14 papers), Nanoparticle-Based Drug Delivery (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Nanoplatforms for cancer theranostics (4 papers), Lipid Membrane Structure and Behavior (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Biomaterials (494 citations), Molecular Biology (2.1k citations), Immunology (642 citations), Genetics (372 citations) and Pharmaceutical Science (76 citations). Srinivas Ramishetti has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Dan Peer, Meir Goldsmith, Nuphar Veiga, Ranit Kedmi, Daniel Rosenblum, Leaf Huang, Niels Dammes, Zvi R. Cohen, Arabinda Chaudhuri and Sushmita Chatterjee. Their work appears in journals such as ACS Nano, Journal of Controlled Release, Advanced Materials, Molecular Pharmaceutics and Nature Communications.
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.