N. Ashwanikumar
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Pharmaceutical Science top 5%
Papers in
- Biomaterials 10
- Nanoparticle-Based Drug Delivery 7
- Supramolecular Self-Assembly in Materials 5
-
- RNA Interference and Gene Delivery 6
- Advanced biosensing and bioanalysis techniques 3
- Lipid Membrane Structure and Behavior 2
- Co-authors
- Siddharth Patel (4 shared papers)Gaurav Sahay (4 shared papers)Örn Almarsson (2 shared papers)Cosmin Mihai (2 shared papers)G. S. Vinod Kumar (7 shared papers)Yan Xia (1 shared paper)Kevin Welsher (1 shared paper)Shangguo Hou (1 shared paper)
- Journals
- RSC Advances (3 papers)Current Medicinal Chemistry (2 papers)Acta Biomaterialia (1 paper)Colloids and Surfaces B Biointerfaces (1 paper)Nature Communications (1 paper)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
N. Ashwanikumar
14 papers receiving 891 citations
N. Ashwanikumar's Hit Papers
Peers
Comparison fields: 5 of 84
- Biomaterials 221
- Pharmaceutical Science 64
- Molecular Biology 702
- Molecular Medicine 37
- Immunology 111
Countries citing papers authored by N. Ashwanikumar
This map shows the geographic impact of N. Ashwanikumar'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 N. Ashwanikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Ashwanikumar more than expected).
Fields of papers citing papers by N. Ashwanikumar
This network shows the impact of papers produced by N. Ashwanikumar. 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 N. Ashwanikumar. The network helps show where N. Ashwanikumar may publish in the future.
Co-authors
The 25 scholars most cited alongside N. Ashwanikumar, 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 | Naturally-occurring cholesterol analogues in lipid nanoparticles induce polymorphic shape and enhance intracellular delivery of mRNA Hit paper breakdown → | 2020 | 424 |
| 2 | 2017 | 198 | |
| 3 | 2018 | 61 | |
| 4 | 2014 | 54 | |
| 5 | 2015 | 39 | |
| 6 | 2016 | 28 | |
| 7 | 2014 | 24 | |
| 8 | 2018 | 19 | |
| 9 | 2019 | 17 | |
| 10 | 2012 | 16 | |
| 11 | 2014 | 12 | |
| 12 | 2012 | 11 | |
| 13 | 2015 | 4 | |
| 14 | 2022 | 1 |
About N. Ashwanikumar
N. Ashwanikumar is a scholar working on Biomaterials, Molecular Biology, Biomedical Engineering, Pharmaceutical Science and Oncology, having authored 14 papers that have together received 908 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (7 papers), RNA Interference and Gene Delivery (6 papers), Supramolecular Self-Assembly in Materials (5 papers), Advanced biosensing and bioanalysis techniques (3 papers), Cancer Treatment and Pharmacology (2 papers), Nanoplatforms for cancer theranostics (2 papers), Curcumin's Biomedical Applications (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Biomaterials (221 citations), Pharmaceutical Science (64 citations), Molecular Biology (702 citations), Molecular Medicine (37 citations) and Immunology (111 citations). N. Ashwanikumar has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Siddharth Patel, Gaurav Sahay, Örn Almarsson, Cosmin Mihai, G. S. Vinod Kumar, Yan Xia, Kevin Welsher, Shangguo Hou, Tatiana Ketova and John L. Joyal. Their work appears in journals such as RSC Advances, Current Medicinal Chemistry, Acta Biomaterialia, Colloids and Surfaces B Biointerfaces 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.