Nirav Shah

1.3k citations
30 papers · 577 · 1 hit paper · h-index 12

Impact in

Papers in

Nirav Shah

29 papers receiving 564 citations

Nirav Shah's Hit Papers

Sugammadex versus Neostigmine for Reversal of Neuromuscular Blockade and Postoperative Pulmonary Complications (STRONGER) 2020 · 186 citations
1860+2+4Years since publication50100150

Peers

Nirav Shah
Comparison fields: 5 of 72
  • Anesthesiology and Pain Medicine 142
  • Health Informatics 14
  • Developmental Neuroscience 26
  • Cardiology and Cardiovascular Medicine 110
  • Critical Care and Intensive Care Medicine 22
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Citations per field
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Citations per year

Countries citing papers authored by Nirav Shah

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Nirav Shah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nirav Shah Line = papers co-authored together Nirav Shah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sugammadex versus Neostigmine for Reversal of Neuromuscular Blockade and Postoperative Pulmonary Complications (STRONGER)
Hit paper breakdown →
2020186
2 202083
3 201960
4 202136
5 202230
6 202024
7 202022
8 202121
9 202019
10 201119
11 202017
12 202411
13 20218
14 20246
15 20235
16 20194
17 20204
18 20244
19 20253
20 20223

About Nirav Shah

Nirav Shah is a scholar working on Surgery, Anesthesiology and Pain Medicine, Cardiology and Cardiovascular Medicine, General Health Professions and Critical Care and Intensive Care Medicine, having authored 30 papers that have together received 577 indexed citations. Recurring topics across this work include Anesthesia and Sedative Agents (5 papers), Surgical Simulation and Training (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), Hemodynamic Monitoring and Therapy (2 papers), EEG and Brain-Computer Interfaces (2 papers), Nausea and vomiting management (1 paper) and Opioid Use Disorder Treatment (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (142 citations), Health Informatics (14 citations), Developmental Neuroscience (26 citations), Cardiology and Cardiovascular Medicine (110 citations) and Critical Care and Intensive Care Medicine (22 citations). Nirav Shah has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Sachin Kheterpal, Michael R. Mathis, Leif Saager, Michelle T. Vaughn, Douglas A. Colquhoun, Amy Shanks, Amit Bardia, Robert B. Schonberger, Timur Dubovoy and Roy G. Soto. Their work appears in journals such as Anesthesiology, Anesthesia & Analgesia, Journal of Clinical Anesthesia, JAMA Network Open and Anesthesiology Clinics.

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.

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