Amrita Ray
Impact in
-
- Pain Management and Opioid Use
- Otorhinolaryngology top 10%
- Ear Surgery and Otitis Media
Papers in
- Genetics 4
- Genetic Associations and Epidemiology 4
- Genetic Mapping and Diversity in Plants and Animals 2
- Genomic variations and chromosomal abnormalities 2
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- Cancer-related molecular mechanisms research 2
- Co-authors
- Laura C. Lazzeroni (3 shared papers)Gary E. Swan (2 shared papers)Martha Tingle (2 shared papers)Martin S. Angst (2 shared papers)David R. Drover (2 shared papers)Nicholas Phillips (2 shared papers)David J. Clark (1 shared paper)Daniel E. Weeks (3 shared papers)
- Journals
- BMC Genetics (1 paper)Anesthesiology (1 paper)Pain (1 paper)Genetic Epidemiology (1 paper)Behavior Genetics (1 paper)
- Partner nations
- United States
In The Last Decade
Amrita Ray
7 papers receiving 209 citations
Peers
Comparison fields: 5 of 56
- Anesthesiology and Pain Medicine 52
- Otorhinolaryngology 22
- Pediatrics, Perinatology and Child Health 36
- Endocrine and Autonomic Systems 11
- Physiology 39
Countries citing papers authored by Amrita Ray
This map shows the geographic impact of Amrita Ray'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 Amrita Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amrita Ray more than expected).
Fields of papers citing papers by Amrita Ray
This network shows the impact of papers produced by Amrita Ray. 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 Amrita Ray. The network helps show where Amrita Ray may publish in the future.
Co-authors
The 16 scholars most cited alongside Amrita Ray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 110 | |
| 2 | 2012 | 53 | |
| 3 | 2009 | 29 | |
| 4 | 2005 | 8 | |
| 5 | 2012 | 6 | |
| 6 | 2008 | 5 | |
| 7 | AFFECTED RELATIVE PAIR LINKAGE STATISTICS THAT MODEL RELATIONSHIP UNCERTAINTY | 2007 | 1 |
About Amrita Ray
Amrita Ray is a scholar working on Genetics, Cancer Research, Molecular Biology, Otorhinolaryngology and Anesthesiology and Pain Medicine, having authored 7 papers that have together received 212 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Cancer-related molecular mechanisms research (2 papers), Epigenetics and DNA Methylation (1 paper), Opioid Use Disorder Treatment (1 paper), Pain Mechanisms and Treatments (1 paper) and Cognitive Abilities and Testing (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (52 citations), Otorhinolaryngology (22 citations), Pediatrics, Perinatology and Child Health (36 citations), Endocrine and Autonomic Systems (11 citations) and Physiology (39 citations). Amrita Ray has collaborated with scholars based in United States. Frequent co-authors include Laura C. Lazzeroni, Gary E. Swan, Martha Tingle, Martin S. Angst, David R. Drover, Nicholas Phillips, David J. Clark, Daniel E. Weeks, James D. Clark and Robert E. Ferrell. Their work appears in journals such as BMC Genetics, Anesthesiology, Pain, Genetic Epidemiology and Behavior 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.