Rashmee U. Shah
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Economics and Econometrics top 5%
- Epidemiology
- Co-authors
- C. Noel Bairey MerzMark A. HlatkyDavid ShilaneAlan S. GoPaul J. WangJames V. FreemanJordan B. KingAdam P. Bress
- Topics
- Heart Failure Treatment and Management (12 papers)Atrial Fibrillation Management and Outcomes (9 papers)Cardiac Arrhythmias and Treatments (8 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaAnnals of Internal Medicine
- Partner nations
- United StatesAustraliaSweden
In The Last Decade
Rashmee U. Shah
63 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 119
- Cardiology and Cardiovascular Medicine 1.1k
- Surgery 334
- Radiology, Nuclear Medicine and Imaging 245
- Economics and Econometrics 201
- Epidemiology 146
Countries citing papers authored by Rashmee U. Shah
This map shows the geographic impact of Rashmee U. 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 Rashmee U. Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rashmee U. Shah more than expected).
Fields of papers citing papers by Rashmee U. Shah
This network shows the impact of papers produced by Rashmee U. 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 Rashmee U. Shah. The network helps show where Rashmee U. Shah may publish in the future.
Co-authorship network of co-authors of Rashmee U. Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Rashmee U. Shah. A scholar is included among the top collaborators of Rashmee U. 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 Rashmee U. Shah. Rashmee U. 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 | 11 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 22 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 27 | |
| 8 | Shedding Light on the Black Box: Explaining Deep Neural Network Prediction of Clinical Outcome | 4 |
| 9 | 5 | |
| 10 | Extracting frailty status for post surgical mortality prediction | 1 |
| 11 | 5 | |
| 12 | Identification and Use of Frailty Indicators from Text to Examine Associations with Clinical Outcomes Among Patients with Heart Failure. | 30 |
| 13 | 107 | |
| 14 | 75 | |
| 15 | 8 | |
| 16 | 204 | |
| 17 | 23 | |
| 18 | 4 | |
| 19 | 16 | |
| 20 | 26 |
About Rashmee U. Shah
Rashmee U. Shah is a scholar working on Health Informatics, Family Practice and Cardiology and Cardiovascular Medicine, having authored 65 papers that have together received 1.7k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (12 papers), Atrial Fibrillation Management and Outcomes (9 papers) and Cardiac Arrhythmias and Treatments (8 papers). The work is most often cited by research in Health Informatics (74 citations), Cardiology and Cardiovascular Medicine (1.1k citations) and Family Practice (50 citations). Rashmee U. Shah has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include C. Noel Bairey Merz, Mark A. Hlatky, David Shilane, Alan S. Go, Paul J. Wang, James V. Freeman, Jordan B. King, Adam P. Bress, Carl J. Pepine and Keith C. Ferdinand. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Annals of Internal Medicine.
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.