Ami N. Shah
- Family Practice top 5%
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 35
- Oncology top 5%
- Cancer Cells and Metastasis 18
- PARP inhibition in cancer therapy 10
- HER2/EGFR in Cancer Research 9
- Geriatrics and Gerontology top 5%
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- Advanced Breast Cancer Therapies 13
- Lung Cancer Treatments and Mutations 11
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- BRCA gene mutations in cancer 13
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- Genetic factors in colorectal cancer 11
- Co-authors
- Gregg C. FonarowMuthiah VaduganathanJaved ButlerMihai GheorghiadeStephen J. GreeneAndrew P. AmbrosyNaoki SatoOvidiu Chioncel
- Journals
- Nature Communications (1 paper)Journal of Clinical Oncology (18 papers)Journal of the American College of Cardiology (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Ami N. Shah
69 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Cardiology and Cardiovascular Medicine 1.3k
- Family Practice 66
- Cancer Research 390
- Oncology 660
- Geriatrics and Gerontology 78
Countries citing papers authored by Ami N. Shah
This map shows the geographic impact of Ami N. 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 Ami N. Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ami N. Shah more than expected).
Fields of papers citing papers by Ami N. Shah
This network shows the impact of papers produced by Ami N. 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 Ami N. Shah. The network helps show where Ami N. Shah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ami N. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 35 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 13 | |
| 12 | 2020 | 36 | |
| 13 | 2019 | 13 | |
| 14 | 2019 | 42 | |
| 15 | 2018 | 34 | |
| 16 | 2018 | 58 | |
| 17 | 2016 | 22 | |
| 18 | The Global Health and Economic Burden of Hospitalizations for Heart Failurebreakdown → | 2014 | 1467 |
| 19 | 2013 | 28 | |
| 20 | 2012 | 21 |
About Ami N. Shah
Ami N. Shah is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 72 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (35 papers), Cancer Cells and Metastasis (18 papers), Advanced Breast Cancer Therapies (13 papers), BRCA gene mutations in cancer (13 papers), Genetic factors in colorectal cancer (11 papers), Lung Cancer Treatments and Mutations (11 papers), PARP inhibition in cancer therapy (10 papers) and HER2/EGFR in Cancer Research (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Family Practice (66 citations) and Cancer Research (390 citations). Ami N. Shah has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Gregg C. Fonarow, Muthiah Vaduganathan, Javed Butler, Mihai Gheorghiade, Stephen J. Greene, Andrew P. Ambrosy, Naoki Sato, Ovidiu Chioncel, Carolyn S.P. Lam and Savina Nodari. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Journal of the American College of Cardiology.
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.