Ravi Savarirayan
- Genetics top 0.2%
- Molecular Biology top 5%
- Rheumatology top 0.5%
- Surgery top 5%
- Oncology top 5%
- Co-authors
- Zornitza StarkAndrea Superti‐FurgaValérie Cormier‐DaireJohn F. BatemanDavid SillenceSheila UngerGeert MortierGen Nishimura
- Topics
- Connective tissue disorders research (82 papers)Neonatal Respiratory Health Research (16 papers)Genomic variations and chromosomal abnormalities (12 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Ravi Savarirayan
167 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Genetics 3.2k
- Molecular Biology 2.5k
- Rheumatology 1.0k
- Surgery 629
- Oncology 549
Countries citing papers authored by Ravi Savarirayan
This map shows the geographic impact of Ravi Savarirayan'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 Savarirayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Savarirayan more than expected).
Fields of papers citing papers by Ravi Savarirayan
This network shows the impact of papers produced by Ravi Savarirayan. 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 Savarirayan. The network helps show where Ravi Savarirayan may publish in the future.
Co-authorship network of co-authors of Ravi Savarirayan
This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Savarirayan. A scholar is included among the top collaborators of Ravi Savarirayan 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 Savarirayan. Ravi Savarirayan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 33 | |
| 6 | Vosoritide for Children with Achondroplasia: A 30 Month Update from an Ongoing Phase 2 Clinical Trial | 0 |
| 7 | Nosology and classification of genetic skeletal disorders: 2015 revisionbreakdown → | 367 |
| 8 | 51 | |
| 9 | 93 | |
| 10 | 3 | |
| 11 | 91 | |
| 12 | Nosology and classification of genetic skeletal disorders: 2010 revisionbreakdown → | 450 |
| 13 | 36 | |
| 14 | 27 | |
| 15 | 23 | |
| 16 | Candidate gene study to investigate the genetic determinants of normal variation in central corneal thickness. | 14 |
| 17 | 13 | |
| 18 | 66 | |
| 19 | 80 | |
| 20 | 22 |
About Ravi Savarirayan
Ravi Savarirayan is a scholar working on Genetics, Rheumatology and Developmental Biology, having authored 171 papers that have together received 5.5k indexed citations. Recurring topics across this work include Connective tissue disorders research (82 papers), Neonatal Respiratory Health Research (16 papers) and Genomic variations and chromosomal abnormalities (12 papers). The work is most often cited by research in Genetics (3.2k citations), Rheumatology (1.0k citations) and Developmental Biology (111 citations). Ravi Savarirayan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Zornitza Stark, Andrea Superti‐Furga, Valérie Cormier‐Daire, John F. Bateman, David Sillence, Sheila Unger, Geert Mortier, Gen Nishimura, Matthew L. Warman and Christine M Hall. Their work appears in journals such as New England Journal of Medicine, Nature Communications and Nature Genetics.
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.