Ajay M. Shah
- Cardiology and Cardiovascular Medicine top 0.05%
- Molecular Biology top 0.2%
- Physiology top 0.05%
- Immunology top 0.2%
- Surgery top 0.5%
- Co-authors
- Jian‐Mei LiMin ZhangAlison CaveDavid GrieveAlison C. BrewerNarayana AnilkumarCélio X.C. SantosMark T. Kearney
- Topics
- Nitric Oxide and Endothelin Effects (159 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (87 papers)Cardiovascular Function and Risk Factors (73 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Ajay M. Shah
526 papers receiving 34.5k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Cardiology and Cardiovascular Medicine 12.6k
- Molecular Biology 12.3k
- Physiology 9.6k
- Immunology 5.3k
- Surgery 3.6k
Countries citing papers authored by Ajay M. Shah
This map shows the geographic impact of Ajay M. 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 Ajay M. Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajay M. Shah more than expected).
Fields of papers citing papers by Ajay M. Shah
This network shows the impact of papers produced by Ajay M. 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 Ajay M. Shah. The network helps show where Ajay M. Shah may publish in the future.
Co-authorship network of co-authors of Ajay M. Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Ajay M. Shah. A scholar is included among the top collaborators of Ajay M. 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 Ajay M. Shah. Ajay M. 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 | 7 | |
| 3 | 11 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 30 | |
| 8 | 9 | |
| 9 | 25 | |
| 10 | 75 | |
| 11 | 21 | |
| 12 | Circulating Breast Tumor Cells Exhibit Dynamic Changes in Epithelial and Mesenchymal Compositionbreakdown → | 1928 |
| 13 | 75 | |
| 14 | Nox4 Is a Protective Reactive Oxygen Species Generating Vascular NADPH Oxidasebreakdown → | 510 |
| 15 | 168 | |
| 16 | 204 | |
| 17 | Current State of Knowledge on Aetiology, Diagnosis, Management, and Therapy of Peripartum Cardiomyopathy: A Position Statement from the Heart Failure Association of the European Society of Cardiology Working Group on peripartum cardiomyopathybreakdown → | 651 |
| 18 | 33 | |
| 19 | 105 | |
| 20 | 104 |
About Ajay M. Shah
Ajay M. Shah is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Immunology, having authored 545 papers that have together received 35.1k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (159 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (87 papers) and Cardiovascular Function and Risk Factors (73 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (12.6k citations), Physiology (9.6k citations) and Immunology (5.3k citations). Ajay M. Shah has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Jian‐Mei Li, Min Zhang, Alison Cave, David Grieve, Alison C. Brewer, Narayana Anilkumar, Célio X.C. Santos, Mark T. Kearney, Christophe Heymes and Philip MacCarthy. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.