Nirav Shah
Impact in
-
- Antibiotic Use and Resistance
- Health Informatics top 10%
Papers in
-
- Sepsis Diagnosis and Treatment 4
- Surgery 7
- Total Knee Arthroplasty Outcomes 3
- Hemodynamic Monitoring and Therapy 2
- Co-authors
- Ari Robicsek (8 shared papers)Matthew M. Churpek (8 shared papers)Mark Hamilton (1 shared paper)Christopher Winslow (7 shared papers)Kyle A. Carey (7 shared papers)Emily Gilbert (7 shared papers)Majid Afshar (7 shared papers)Jessica P. Ridgway (6 shared papers)
- Journals
- Open Forum Infectious Diseases (7 papers)Critical Care Medicine (4 papers)PLoS ONE (3 papers)Antimicrobial Agents and Chemotherapy (2 papers)JAMA Network Open (2 papers)
- Partner nations
- United StatesUnited KingdomMexico
In The Last Decade
Nirav Shah
35 papers receiving 653 citations
Peers
Comparison fields: 5 of 87
- Applied Microbiology and Biotechnology 56
- Health Informatics 13
- Nephrology 60
- Critical Care and Intensive Care Medicine 38
- Molecular Medicine 36
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-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.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 96 | |
| 2 | 2020 | 81 | |
| 3 | 2016 | 76 | |
| 4 | 2013 | 52 | |
| 5 | 2013 | 48 | |
| 6 | 2018 | 40 | |
| 7 | 2013 | 40 | |
| 8 | 2022 | 37 | |
| 9 | 2020 | 23 | |
| 10 | 2020 | 20 | |
| 11 | 2021 | 18 | |
| 12 | 2021 | 18 | |
| 13 | 2020 | 17 | |
| 14 | 2020 | 16 | |
| 15 | 2020 | 11 | |
| 16 | 2020 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2021 | 6 |
About Nirav Shah
Nirav Shah is a scholar working on Epidemiology, Surgery, Infectious Diseases, Cardiology and Cardiovascular Medicine and Applied Microbiology and Biotechnology, having authored 39 papers that have together received 665 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (5 papers), Antibiotic Use and Resistance (5 papers), Sepsis Diagnosis and Treatment (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Total Knee Arthroplasty Outcomes (3 papers), COVID-19 Clinical Research Studies (3 papers), Hemodynamic Monitoring and Therapy (2 papers) and Electronic Health Records Systems (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (56 citations), Health Informatics (13 citations), Nephrology (60 citations), Critical Care and Intensive Care Medicine (38 citations) and Molecular Medicine (36 citations). Nirav Shah has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Ari Robicsek, Matthew M. Churpek, Mark Hamilton, Christopher Winslow, Kyle A. Carey, Emily Gilbert, Majid Afshar, Jessica P. Ridgway, Dana P. Edelson and John Fahrenbach. Their work appears in journals such as Open Forum Infectious Diseases, Critical Care Medicine, PLoS ONE, Antimicrobial Agents and Chemotherapy and JAMA Network Open.
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.