Nirav Shah
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Anesthesiology and Pain Medicine top 2%
- Critical Care and Intensive Care Medicine top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Sachin KheterpalLeif SaagerMichael R. MathisDouglas A. ColquhounMichelle T. VaughnAmy ShanksAmit BardiaRobert B. Schonberger
- Topics
- Cardiac, Anesthesia and Surgical Outcomes (16 papers)Anesthesia and Sedative Agents (7 papers)Anesthesia and Pain Management (5 papers)
- Cited by
- Anesthesiology and Pain MedicineHealth InformaticsCritical Care and Intensive Care Medicine
- Journals
- CirculationSHILAP Revista de lepidopterologíaJournal of the American Geriatrics Society
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Nirav Shah
29 papers receiving 519 citations
Peers
Comparison fields: 5 of 86
- Cardiology and Cardiovascular Medicine 264
- Surgery 259
- Anesthesiology and Pain Medicine 204
- Critical Care and Intensive Care Medicine 63
- Pulmonary and Respiratory Medicine 60
Countries citing papers authored by Nirav Shah
This map shows the geographic impact of Nirav 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 Nirav Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nirav Shah more than expected).
Fields of papers citing papers by Nirav Shah
This network shows the impact of papers produced by Nirav 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 Nirav Shah. The network helps show where Nirav Shah may publish in the future.
Co-authorship network of co-authors of Nirav Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Nirav Shah. A scholar is included among the top collaborators of Nirav 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 Nirav Shah. Nirav 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 | 8 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 25 | |
| 10 | 3 | |
| 11 | 34 | |
| 12 | 1 | |
| 13 | 171 | |
| 14 | 4 | |
| 15 | 17 | |
| 16 | 20 | |
| 17 | 21 | |
| 18 | 4 | |
| 19 | 59 | |
| 20 | 19 |
About Nirav Shah
Nirav Shah is a scholar working on Anesthesiology and Pain Medicine, Cardiology and Cardiovascular Medicine and Critical Care and Intensive Care Medicine, having authored 31 papers that have together received 534 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (16 papers), Anesthesia and Sedative Agents (7 papers) and Anesthesia and Pain Management (5 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (204 citations), Health Informatics (19 citations) and Critical Care and Intensive Care Medicine (63 citations). Nirav Shah has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Sachin Kheterpal, Leif Saager, Michael R. Mathis, Douglas A. Colquhoun, Michelle T. Vaughn, Amy Shanks, Amit Bardia, Robert B. Schonberger, Timur Dubovoy and Kevin K. Tremper. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American Geriatrics Society.
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.