Jay Riva-Cambrin
- Cellular and Molecular Neuroscience top 0.5%
- Pediatrics, Perinatology and Child Health top 0.5%
- Neurology top 0.5%
- Public Health, Environmental and Occupational Health top 1%
- Surgery top 5%
- Co-authors
- John R. W. KestleTamara D. SimonAbhaya V. KulkarniRichard HolubkovJohn C. WellonsSamuel R. BrowdWilliam E. WhiteheadSusan L. Bratton
- Topics
- Cerebrospinal fluid and hydrocephalus (59 papers)Traumatic Brain Injury and Neurovascular Disturbances (35 papers)Spinal Dysraphism and Malformations (30 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jay Riva-Cambrin
115 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Cellular and Molecular Neuroscience 2.4k
- Pediatrics, Perinatology and Child Health 1.5k
- Neurology 1.4k
- Public Health, Environmental and Occupational Health 1.1k
- Surgery 1.0k
Countries citing papers authored by Jay Riva-Cambrin
This map shows the geographic impact of Jay Riva-Cambrin'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 Jay Riva-Cambrin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Riva-Cambrin more than expected).
Fields of papers citing papers by Jay Riva-Cambrin
This network shows the impact of papers produced by Jay Riva-Cambrin. 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 Jay Riva-Cambrin. The network helps show where Jay Riva-Cambrin may publish in the future.
Co-authorship network of co-authors of Jay Riva-Cambrin
This figure shows the co-authorship network connecting the top 25 collaborators of Jay Riva-Cambrin. A scholar is included among the top collaborators of Jay Riva-Cambrin 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 Jay Riva-Cambrin. Jay Riva-Cambrin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | Preoperative predictors of poor acute postoperative pain control: a systematic review and meta-analysisbreakdown → | 252 |
| 9 | 160 | |
| 10 | 15 | |
| 11 | 15 | |
| 12 | 20 | |
| 13 | 7 | |
| 14 | 100 | |
| 15 | 21 | |
| 16 | 26 | |
| 17 | 49 | |
| 18 | 67 | |
| 19 | 105 | |
| 20 | 12 |
About Jay Riva-Cambrin
Jay Riva-Cambrin is a scholar working on Cellular and Molecular Neuroscience, Neurology and Pediatrics, Perinatology and Child Health, having authored 119 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (59 papers), Traumatic Brain Injury and Neurovascular Disturbances (35 papers) and Spinal Dysraphism and Malformations (30 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Neurology (1.4k citations) and Pediatrics, Perinatology and Child Health (1.5k citations). Jay Riva-Cambrin has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include John R. W. Kestle, Tamara D. Simon, Abhaya V. Kulkarni, Richard Holubkov, John C. Wellons, Samuel R. Browd, William E. Whitehead, Susan L. Bratton, James M. Drake and David D. Limbrick. Their work appears in journals such as PLoS ONE, PEDIATRICS and Annals of Neurology.
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.