Ravi S. Kamath
- Aging top 0.01%
- Molecular Biology top 0.5%
- Physiology top 1%
- Endocrine and Autonomic Systems top 0.2%
- Cell Biology top 0.5%
- Co-authors
- Andrew FraserJulie AhringerPeder ZipperlenMarc SohrmannCynthia KenyonGary RuvkunSteven A. McCarrollHao Li
- Topics
- Genetics, Aging, and Longevity in Model Organisms (14 papers)CRISPR and Genetic Engineering (8 papers)Glycosylation and Glycoproteins Research (4 papers)
- Partner nations
- United StatesUnited KingdomArgentina
In The Last Decade
Ravi S. Kamath
32 papers receiving 13.2k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Aging 8.5k
- Molecular Biology 8.2k
- Physiology 2.1k
- Endocrine and Autonomic Systems 2.1k
- Cell Biology 1.3k
Countries citing papers authored by Ravi S. Kamath
This map shows the geographic impact of Ravi S. Kamath'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 Ravi S. Kamath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi S. Kamath more than expected).
Fields of papers citing papers by Ravi S. Kamath
This network shows the impact of papers produced by Ravi S. Kamath. 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 Ravi S. Kamath. The network helps show where Ravi S. Kamath may publish in the future.
Co-authorship network of co-authors of Ravi S. Kamath
This figure shows the co-authorship network connecting the top 25 collaborators of Ravi S. Kamath. A scholar is included among the top collaborators of Ravi S. Kamath 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 Ravi S. Kamath. Ravi S. Kamath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 29 | |
| 3 | 6 | |
| 4 | 23 | |
| 5 | 3 | |
| 6 | 223 | |
| 7 | 223 | |
| 8 | 49 | |
| 9 | 99 | |
| 10 | Systematic functional analysis of the Caenorhabditis elegans genome using RNAibreakdown → | 2832 |
| 11 | Genome-Wide RNAi of C. elegans Using the Hypersensitive rrf-3 Strain Reveals Novel Gene Functionsbreakdown → | 532 |
| 12 | 147 | |
| 13 | Genes that act downstream of DAF-16 to influence the lifespan of Caenorhabditis elegansbreakdown → | 1796 |
| 14 | 167 | |
| 15 | Genome-wide RNAi analysis of Caenorhabditis elegans fat regulatory genesbreakdown → | 810 |
| 16 | Rates of Behavior and Aging Specified by Mitochondrial Function During Developmentbreakdown → | 846 |
| 17 | A systematic RNAi screen identifies a critical role for mitochondria in C. elegans longevitybreakdown → | 750 |
| 18 | Functional genomic analysis of C. elegans chromosome I by systematic RNA interferencebreakdown → | 1389 |
| 19 | Effectiveness of specific RNA-mediated interference through ingested double-stranded RNA in Caenorhabditis elegansbreakdown → | 1076 |
| 20 | 12 |
About Ravi S. Kamath
Ravi S. Kamath is a scholar working on Aging, Physiology and Molecular Biology, having authored 32 papers that have together received 13.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (14 papers), CRISPR and Genetic Engineering (8 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Aging (8.5k citations), Endocrine and Autonomic Systems (2.1k citations) and Molecular Biology (8.2k citations). Ravi S. Kamath has collaborated with scholars based in United States, United Kingdom and Argentina. Frequent co-authors include Andrew Fraser, Julie Ahringer, Peder Zipperlen, Marc Sohrmann, Cynthia Kenyon, Gary Ruvkun, Steven A. McCarroll, Hao Li, Coleen T. Murphy and Cornelia I. Bargmann. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.