Rao S. Rapaka
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Pharmacology top 5%
- Spectroscopy top 5%
- Genetics
- Co-authors
- Daniele PiomelliGiuseppe AstaritaVishnudutt PurohitRajendra S. BhatnagarDan W. UrryDavid ShurtleffFrank PorrecaAlexandros Makriyannis
- Topics
- Chemical Synthesis and Analysis (19 papers)Neuropeptides and Animal Physiology (11 papers)Connective tissue disorders research (10 papers)
- Partner nations
- United StatesItalyIndia
In The Last Decade
Rao S. Rapaka
81 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 907
- Cellular and Molecular Neuroscience 389
- Pharmacology 263
- Spectroscopy 188
- Genetics 160
Countries citing papers authored by Rao S. Rapaka
This map shows the geographic impact of Rao S. Rapaka'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 Rao S. Rapaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rao S. Rapaka more than expected).
Fields of papers citing papers by Rao S. Rapaka
This network shows the impact of papers produced by Rao S. Rapaka. 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 Rao S. Rapaka. The network helps show where Rao S. Rapaka may publish in the future.
Co-authorship network of co-authors of Rao S. Rapaka
This figure shows the co-authorship network connecting the top 25 collaborators of Rao S. Rapaka. A scholar is included among the top collaborators of Rao S. Rapaka 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 Rao S. Rapaka. Rao S. Rapaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 59 | |
| 3 | 19 | |
| 4 | 57 | |
| 5 | 274 | |
| 6 | 2 | |
| 7 | 31 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 105 | |
| 13 | 10 | |
| 14 | 21 | |
| 15 | 9 | |
| 16 | 5 | |
| 17 | 27 | |
| 18 | 8 | |
| 19 | Molecular mechanisms of ligand binding to opioid receptors: selective inhibition by ethanol? | 3 |
| 20 | Coacervation of sequential polypeptide models of tropoelastin. Synthesis of H-(Val-Ala-Pro-Gly)n-Val-OMe and H-(Val-Pro-Gly-Gly)n-Val-OMe. | 29 |
About Rao S. Rapaka
Rao S. Rapaka is a scholar working on Virology, Cellular and Molecular Neuroscience and Spectroscopy, having authored 83 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (19 papers), Neuropeptides and Animal Physiology (11 papers) and Connective tissue disorders research (10 papers). The work is most often cited by research in Virology (114 citations), Cellular and Molecular Neuroscience (389 citations) and Biological Psychiatry (51 citations). Rao S. Rapaka has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Daniele Piomelli, Giuseppe Astarita, Vishnudutt Purohit, Rajendra S. Bhatnagar, Dan W. Urry, David Shurtleff, Frank Porreca, Alexandros Makriyannis, V. Renugopalakrishnan and Vadlamani K. Prasad. Their work appears in journals such as Science, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.