Ashwin Narain
Impact in
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- Nanoparticle-Based Drug Delivery
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- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- RNA Interference and Gene Delivery
- RNA Research and Splicing
- Extracellular vesicles in disease
- Genomics and Chromatin Dynamics
Papers in
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- Genomics and Chromatin Dynamics 2
- Ubiquitin and proteasome pathways 2
- Protein Degradation and Inhibitors 2
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 2
- RNA Interference and Gene Delivery 1
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- Nanoparticle-Based Drug Delivery 2
- Co-authors
- Yogita Patil‐Sen (2 shared papers)Simran Asawa (2 shared papers)Elmar Wolf (4 shared papers)Bikash Adhikari (3 shared papers)Andreas Schlösser (3 shared papers)Apoorva Baluapuri (2 shared papers)Pranjali Bhandare (3 shared papers)Marek Wanior (1 shared paper)
- Journals
- Nature Chemical Biology (1 paper)Nucleic Acids Research (1 paper)Molecular Cell (1 paper)Nanomedicine (1 paper)STAR Protocols (1 paper)
- Partner nations
- GermanyIndiaUnited Kingdom
In The Last Decade
Ashwin Narain
6 papers receiving 362 citations
Peers
Comparison fields: 5 of 66
- Biomaterials 83
- Molecular Biology 234
- Biomedical Engineering 108
- Pharmaceutical Science 14
- Hematology 22
Countries citing papers authored by Ashwin Narain
This map shows the geographic impact of Ashwin Narain'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 Ashwin Narain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Narain more than expected).
Fields of papers citing papers by Ashwin Narain
This network shows the impact of papers produced by Ashwin Narain. 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 Ashwin Narain. The network helps show where Ashwin Narain may publish in the future.
Co-authors
The 24 scholars most cited alongside Ashwin Narain, 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 | 2017 | 186 | |
| 2 | 2020 | 119 | |
| 3 | 2021 | 53 | |
| 4 | 2021 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2019 | 1 |
About Ashwin Narain
Ashwin Narain is a scholar working on Molecular Biology, Biomaterials, Biomedical Engineering, Oncology and Hematology, having authored 6 papers that have together received 364 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (2 papers), Ubiquitin and proteasome pathways (2 papers), Protein Degradation and Inhibitors (2 papers), Nanoparticle-Based Drug Delivery (2 papers), RNA Research and Splicing (2 papers), Nanoplatforms for cancer theranostics (2 papers), RNA and protein synthesis mechanisms (2 papers) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Biomaterials (83 citations), Molecular Biology (234 citations), Biomedical Engineering (108 citations), Pharmaceutical Science (14 citations) and Hematology (22 citations). Ashwin Narain has collaborated with scholars based in Germany, India and United Kingdom. Frequent co-authors include Yogita Patil‐Sen, Simran Asawa, Elmar Wolf, Bikash Adhikari, Andreas Schlösser, Apoorva Baluapuri, Pranjali Bhandare, Marek Wanior, Nevenka Dudvarski Stanković and Julia Hofstetter. Their work appears in journals such as Nature Chemical Biology, Nucleic Acids Research, Molecular Cell, Nanomedicine and STAR Protocols.
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.