Anuj Shah
- Public Health, Environmental and Occupational Health top 2%
- Anesthesiology and Pain Medicine top 0.5%
- Surgery top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Pharmacology top 10%
- Co-authors
- Corey J. HayesBradley C. MartinNiranjan KatheNalin PayakachatNaleen Raj BhandariChenghui LiJacob T. PainterDaniel Sheinson
- Topics
- Opioid Use Disorder Treatment (6 papers)Pain Management and Opioid Use (5 papers)Prenatal Substance Exposure Effects (3 papers)
- Cited by
- Anesthesiology and Pain MedicinePublic Health, Environmental and Occupational HealthGeriatrics and Gerontology
- Journals
- SHILAP Revista de lepidopterologíaJournal of General Internal MedicineDrug and Alcohol Dependence
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Anuj Shah
11 papers receiving 955 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Public Health, Environmental and Occupational Health 789
- Anesthesiology and Pain Medicine 558
- Surgery 380
- Pediatrics, Perinatology and Child Health 186
- Pharmacology 171
Countries citing papers authored by Anuj Shah
This map shows the geographic impact of Anuj Shah'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 Anuj Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anuj Shah more than expected).
Fields of papers citing papers by Anuj Shah
This network shows the impact of papers produced by Anuj Shah. 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 Anuj Shah. The network helps show where Anuj Shah may publish in the future.
Co-authorship network of co-authors of Anuj Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Anuj Shah. A scholar is included among the top collaborators of Anuj Shah 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 Anuj Shah. Anuj Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 45 | |
| 6 | 13 | |
| 7 | Characteristics of Initial Prescription Episodes and Likelihood of Long-Term Opioid Use — United States, 2006–2015breakdown → | 704 |
| 8 | 198 | |
| 9 | 1 | |
| 10 | Self-Medication Practices among College Students: A Cross Sectional Study in Gujarat - | 19 |
| 11 | 2 |
About Anuj Shah
Anuj Shah is a scholar working on Anesthesiology and Pain Medicine, Applied Microbiology and Biotechnology and Internal Medicine, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (6 papers), Pain Management and Opioid Use (5 papers) and Prenatal Substance Exposure Effects (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (558 citations), Public Health, Environmental and Occupational Health (789 citations) and Geriatrics and Gerontology (64 citations). Anuj Shah has collaborated with scholars based in United States, India and France. Frequent co-authors include Corey J. Hayes, Bradley C. Martin, Niranjan Kathe, Nalin Payakachat, Naleen Raj Bhandari, Chenghui Li, Jacob T. Painter, Daniel Sheinson, Sawsan As‐Sanie and Vidhya Gunaseelan. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of General Internal Medicine and Drug and Alcohol Dependence.
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.