Anoop D Shah
- Cardiology and Cardiovascular Medicine top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Epidemiology top 5%
- Surgery top 5%
- Molecular Biology
- Co-authors
- Harry HemingwaySpiros DenaxasAdam TimmisLiam SmeethEleni RapsomanikiMar Pujades‐RodríguezJohn DeanfieldJulie George
- Topics
- Machine Learning in Healthcare (12 papers)Biomedical Text Mining and Ontologies (12 papers)Blood Pressure and Hypertension Studies (9 papers)
- Journals
- The LancetCirculationSHILAP Revista de lepidopterología
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Anoop D Shah
62 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Cardiology and Cardiovascular Medicine 2.1k
- Endocrinology, Diabetes and Metabolism 900
- Epidemiology 895
- Surgery 648
- Molecular Biology 594
Countries citing papers authored by Anoop D Shah
This map shows the geographic impact of Anoop D 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 Anoop D Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anoop D Shah more than expected).
Fields of papers citing papers by Anoop D Shah
This network shows the impact of papers produced by Anoop D 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 Anoop D Shah. The network helps show where Anoop D Shah may publish in the future.
Co-authorship network of co-authors of Anoop D Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Anoop D Shah. A scholar is included among the top collaborators of Anoop D 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 Anoop D Shah. Anoop D 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 | 0 | |
| 2 | 5 | |
| 3 | 13 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 31 | |
| 7 | 14 | |
| 8 | 33 | |
| 9 | 116 | |
| 10 | 13 | |
| 11 | 17 | |
| 12 | 156 | |
| 13 | 12 | |
| 14 | 103 | |
| 15 | Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1·25 million peoplebreakdown → | 1152 |
| 16 | 107 | |
| 17 | Abstract 15464: Differential Effects of Smoking on Specific Cardiovascular Presentations in Men and Women: Prospective Cohort Study in 900,000 Patients Using CALIBER Linked Electronic Health Records | 1 |
| 18 | 77 | |
| 19 | 30 | |
| 20 | 41 |
About Anoop D Shah
Anoop D Shah is a scholar working on Health Information Management, Health Informatics and Family Practice, having authored 68 papers that have together received 5.5k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (12 papers), Biomedical Text Mining and Ontologies (12 papers) and Blood Pressure and Hypertension Studies (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.1k citations), Health Information Management (343 citations) and Health Informatics (82 citations). Anoop D Shah has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Harry Hemingway, Spiros Denaxas, Adam Timmis, Liam Smeeth, Eleni Rapsomaniki, Mar Pujades‐Rodríguez, John Deanfield, Julie George, Aroon D. Hingorani and Owen Nicholas. Their work appears in journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.
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.