Muthusamy Jayaraman
- Molecular Biology top 1%
- Cancer Research top 2%
- Biomaterials top 2%
- Biomedical Engineering top 5%
- Organic Chemistry top 5%
- Co-authors
- Muthiah ManoharanMartin A. MaierKallanthottathil G. RajeevAkin AkincYing K. TamMichael J. HopeBarbara L. MuiXinyao Du
- Topics
- RNA Interference and Gene Delivery (12 papers)Synthesis of β-Lactam Compounds (11 papers)Advanced biosensing and bioanalysis techniques (11 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Muthusamy Jayaraman
32 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 4.8k
- Cancer Research 795
- Biomaterials 662
- Biomedical Engineering 606
- Organic Chemistry 595
Countries citing papers authored by Muthusamy Jayaraman
This map shows the geographic impact of Muthusamy Jayaraman'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 Muthusamy Jayaraman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muthusamy Jayaraman more than expected).
Fields of papers citing papers by Muthusamy Jayaraman
This network shows the impact of papers produced by Muthusamy Jayaraman. 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 Muthusamy Jayaraman. The network helps show where Muthusamy Jayaraman may publish in the future.
Co-authorship network of co-authors of Muthusamy Jayaraman
This figure shows the co-authorship network connecting the top 25 collaborators of Muthusamy Jayaraman. A scholar is included among the top collaborators of Muthusamy Jayaraman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Muthusamy Jayaraman. Muthusamy Jayaraman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | The Onpattro story and the clinical translation of nanomedicines containing nucleic acid-based drugsbreakdown → | 1160 |
| 5 | 62 | |
| 6 | 148 | |
| 7 | 390 | |
| 8 | Maximizing the Potency of siRNA Lipid Nanoparticles for Hepatic Gene Silencing In Vivo**breakdown → | 973 |
| 9 | 11 | |
| 10 | Molecularly self-assembled nucleic acid nanoparticles for targeted in vivo siRNA deliverybreakdown → | 1005 |
| 11 | 122 | |
| 12 | 283 | |
| 13 | Mechanisms and optimization of in vivo delivery of lipophilic siRNAsbreakdown → | 771 |
| 14 | 15 | |
| 15 | 64 | |
| 16 | 38 | |
| 17 | 3 | |
| 18 | 9 | |
| 19 | 34 | |
| 20 | 14 |
About Muthusamy Jayaraman
Muthusamy Jayaraman is a scholar working on Toxicology, Cancer Research and Organic Chemistry, having authored 34 papers that have together received 5.7k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (12 papers), Synthesis of β-Lactam Compounds (11 papers) and Advanced biosensing and bioanalysis techniques (11 papers). The work is most often cited by research in Molecular Biology (4.8k citations), Toxicology (191 citations) and Cancer Research (795 citations). Muthusamy Jayaraman has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Muthiah Manoharan, Martin A. Maier, Kallanthottathil G. Rajeev, Akin Akinc, Ying K. Tam, Michael J. Hope, Barbara L. Mui, Xinyao Du, Thomas D. Madden and Steven M. Ansell. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Blood.
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.