Puthupparampil V. Scaria
- Molecular Biology top 5%
- Genetics top 10%
- Immunology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Microbiology top 2%
- Co-authors
- Martin C. WoodleRichard H. ShaferA. James MixsonRaymond M. SchiffelersFrancis C. SzokaFrançois NicolOlivier ZelphatiChristian Plank
- Topics
- RNA Interference and Gene Delivery (19 papers)Advanced biosensing and bioanalysis techniques (17 papers)DNA and Nucleic Acid Chemistry (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
Puthupparampil V. Scaria
41 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.7k
- Genetics 334
- Immunology 248
- Public Health, Environmental and Occupational Health 173
- Microbiology 173
Countries citing papers authored by Puthupparampil V. Scaria
This map shows the geographic impact of Puthupparampil V. Scaria'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 Puthupparampil V. Scaria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Puthupparampil V. Scaria more than expected).
Fields of papers citing papers by Puthupparampil V. Scaria
This network shows the impact of papers produced by Puthupparampil V. Scaria. 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 Puthupparampil V. Scaria. The network helps show where Puthupparampil V. Scaria may publish in the future.
Co-authorship network of co-authors of Puthupparampil V. Scaria
This figure shows the co-authorship network connecting the top 25 collaborators of Puthupparampil V. Scaria. A scholar is included among the top collaborators of Puthupparampil V. Scaria 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 Puthupparampil V. Scaria. Puthupparampil V. Scaria is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 54 | |
| 3 | 17 | |
| 4 | 42 | |
| 5 | 16 | |
| 6 | 8 | |
| 7 | 31 | |
| 8 | 45 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 33 | |
| 12 | 44 | |
| 13 | 22 | |
| 14 | 34 | |
| 15 | 118 | |
| 16 | 195 | |
| 17 | 53 | |
| 18 | 24 | |
| 19 | 29 | |
| 20 | 32 |
About Puthupparampil V. Scaria
Puthupparampil V. Scaria is a scholar working on Microbiology, Molecular Biology and Biotechnology, having authored 41 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (19 papers), Advanced biosensing and bioanalysis techniques (17 papers) and DNA and Nucleic Acid Chemistry (9 papers). The work is most often cited by research in Microbiology (173 citations), Molecular Biology (1.7k citations) and Genetics (334 citations). Puthupparampil V. Scaria has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Martin C. Woodle, Richard H. Shafer, A. James Mixson, Raymond M. Schiffelers, Francis C. Szoka, François Nicol, Olivier Zelphati, Christian Plank, Qixin Leng and Qingqing Leng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.