Rajiv Nayar
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery 8
- Pharmaceutical Science top 5%
- Molecular Biology top 10%
- Lipid Membrane Structure and Behavior 13
- Protein purification and stability 8
- RNA Interference and Gene Delivery 5
- Biochemistry top 10%
- Biophysics top 10%
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- Monoclonal and Polyclonal Antibodies Research 7
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- Botulinum Toxin and Related Neurological Disorders 4
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- Cancer Treatment and Pharmacology 4
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- Immunotherapy and Immune Responses 3
- Co-authors
- Michael J. HopePieter R. CullisLawrence D. MayerAlan J. SchroitMarcel B. BallyMark C. ManningDana MasinSandra L. Schmid
- Journals
- Biochemistry (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)British Journal of Cancer (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Rajiv Nayar
42 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 124
- Biomaterials 337
- Pharmaceutical Science 111
- Molecular Biology 1.0k
- Biochemistry 64
- Biophysics 45
Countries citing papers authored by Rajiv Nayar
This map shows the geographic impact of Rajiv Nayar'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 Rajiv Nayar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajiv Nayar more than expected).
Fields of papers citing papers by Rajiv Nayar
This network shows the impact of papers produced by Rajiv Nayar. 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 Rajiv Nayar. The network helps show where Rajiv Nayar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rajiv Nayar, 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 | 2009 | 16 | |
| 2 | 2008 | 8 | |
| 3 | 2008 | 23 | |
| 4 | 2008 | 37 | |
| 5 | 2008 | 18 | |
| 6 | 2007 | 14 | |
| 7 | 2006 | 21 | |
| 8 | 2004 | 35 | |
| 9 | 2002 | 12 | |
| 10 | 2002 | 1 | |
| 11 | 1995 | 51 | |
| 12 | 1994 | 52 | |
| 13 | 1993 | 74 | |
| 14 | 1990 | 60 | |
| 15 | 1990 | 30 | |
| 16 | 1989 | 24 | |
| 17 | 1989 | 21 | |
| 18 | 1988 | 14 | |
| 19 | 1987 | 7 | |
| 20 | 1982 | 41 |
About Rajiv Nayar
Rajiv Nayar is a scholar working on Biomaterials, Biochemistry and Molecular Biology, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (13 papers), Protein purification and stability (8 papers), Nanoparticle-Based Drug Delivery (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), RNA Interference and Gene Delivery (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Cancer Treatment and Pharmacology (4 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Biomaterials (337 citations), Pharmaceutical Science (111 citations) and Molecular Biology (1.0k citations). Rajiv Nayar has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Michael J. Hope, Pieter R. Cullis, Lawrence D. Mayer, Alan J. Schroit, Marcel B. Bally, Mark C. Manning, Dana Masin, Sandra L. Schmid, Ben de Kruijff and I Saiki. Their work appears in journals such as Biochemistry, Methods in enzymology on CD-ROM/Methods in enzymology and British Journal of Cancer.
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.