Ami N. Shah

3.6k total citations · 1 hit paper
72 papers, 2.6k citations indexed

About

Ami N. Shah is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ami N. Shah has authored 72 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Oncology, 38 papers in Cancer Research and 28 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ami N. Shah's work include Cancer Genomics and Diagnostics (35 papers), Cancer Cells and Metastasis (18 papers) and Advanced Breast Cancer Therapies (13 papers). Ami N. Shah is often cited by papers focused on Cancer Genomics and Diagnostics (35 papers), Cancer Cells and Metastasis (18 papers) and Advanced Breast Cancer Therapies (13 papers). Ami N. Shah collaborates with scholars based in United States, Italy and China. Ami N. Shah's 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 and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Journal of the American College of Cardiology.

In The Last Decade

Ami N. Shah

69 papers receiving 2.5k citations

Hit Papers

The Global Health and Economic Burden of Hospitalizations... 2014 2026 2018 2022 2014 400 800 1.2k

Peers

Ami N. Shah
Robert J. Padley United States
Wouter C. Meijers Netherlands
Kathleen M. Sturgeon United States
Lin Lin China
Ryan J. Koene United States
Renaud Fay France
Muzahir H. Tayebjee United Kingdom
Ana Barac United States
Robert J. Padley United States
Ami N. Shah
Citations per year, relative to Ami N. Shah Ami N. Shah (= 1×) peers Robert J. Padley

Countries citing papers authored by Ami N. Shah

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ami N. Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Ami N. Shah. A scholar is included among the top collaborators of Ami N. 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 Ami N. Shah. Ami N. Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Davis, Andrew A., Ian S. Hagemann, Amir Behdad, et al.. (2025). Molecular Characterization of Patients with Metastatic Invasive Lobular Carcinoma: Using Real-World Data to Describe This Unique Clinical Entity. Clinical Cancer Research. 31(21). 4485–4494.
3.
Gerratana, Lorenzo, Andrew A. Davis, Paolo D’Amico, et al.. (2024). Early Evaluation of Risk Stratification and Clinical Outcomes for Patients with Advanced Breast Cancer through Combined Monitoring of Baseline Circulating Tumor Cells and DNA. Clinical Cancer Research. 30(16). 3470–3480. 2 indexed citations
4.
Gerratana, Lorenzo, Andrew A. Davis, Carolina Reduzzi, et al.. (2023). Cyclin-Dependent Kinase 4/6 Inhibitors Beyond Progression in Metastatic Breast Cancer: A Retrospective Real-World Biomarker Analysis. JCO Precision Oncology. 7(7). e2200531–e2200531. 7 indexed citations
5.
Nicolò, Eleonora, Elena Vagia, Paolo D’Amico, et al.. (2023). Circulating Tumor DNA and Unique Actionable Genomic Alterations in the Longitudinal Monitoring of Metastatic Breast Cancer: A Case of FGFR2-KIAA1598 Gene Fusion. JCO Precision Oncology. 7(7). e2200702–e2200702. 2 indexed citations
6.
Gerratana, Lorenzo, Katherine Clifton, Arielle J. Medford, et al.. (2023). Genetic Alterations Detected by Circulating Tumor DNA in HER2-Low Metastatic Breast Cancer. Clinical Cancer Research. 29(16). 3092–3100. 4 indexed citations
7.
Medford, Arielle J., Ignaty Leshchiner, Lesli A. Kiedrowski, et al.. (2023). ESR1 mutational landscape and impact of co-existing resistance variants on clinical outcomes in patients with metastatic breast cancer.. Journal of Clinical Oncology. 41(16_suppl). 1074–1074. 1 indexed citations
8.
Shah, Ami N., Cesar A. Santa‐Maria, Dhruvika Mukhija, et al.. (2022). A Phase II Single-arm Study of Palbociclib in Patients With HER2-positive Breast Cancer With Brain Metastases and Analysis of ctDNA in Patients With Active Brain Metastases. Clinical Breast Cancer. 23(3). 324–329. 10 indexed citations
9.
Jacob, Saya, Andrew A. Davis, Lorenzo Gerratana, et al.. (2021). The Use of Serial Circulating Tumor DNA to Detect Resistance Alterations in Progressive Metastatic Breast Cancer. Clinical Cancer Research. 27(5). 1361–1370. 35 indexed citations
10.
Liu, Xiaoran, Andrew A. Davis, Feng Xie, et al.. (2021). Cell-free DNA comparative analysis of the genomic landscape of first-line hormone receptor-positive metastatic breast cancer from the US and China. Breast Cancer Research and Treatment. 190(2). 213–226. 5 indexed citations
11.
Shah, Ami N., et al.. (2021). Olfactory expression of trace amine-associated receptors requires cooperative cis-acting enhancers. Nature Communications. 12(1). 3797–3797. 13 indexed citations
12.
Gerratana, Lorenzo, Andrew A. Davis, Maurizio Polano, et al.. (2020). Understanding the organ tropism of metastatic breast cancer through the combination of liquid biopsy tools. European Journal of Cancer. 143. 147–157. 36 indexed citations
13.
Gerratana, Lorenzo, Andrew A. Davis, Ami N. Shah, et al.. (2019). Emerging Role of Genomics and Cell-Free DNA in Breast Cancer. Current Treatment Options in Oncology. 20(8). 68–68. 13 indexed citations
14.
Davis, Andrew A., Qiang Zhang, Lorenzo Gerratana, et al.. (2019). Association of a novel circulating tumor DNA next-generating sequencing platform with circulating tumor cells (CTCs) and CTC clusters in metastatic breast cancer. Breast Cancer Research. 21(1). 137–137. 42 indexed citations
15.
Carneiro, Benedito A., Sahithi Pamarthy, Ami N. Shah, et al.. (2018). Anaplastic Lymphoma Kinase Mutation ( ALK F1174C) in Small Cell Carcinoma of the Prostate and Molecular Response to Alectinib. Clinical Cancer Research. 24(12). 2732–2739. 34 indexed citations
16.
Shah, Ami N. & William J. Gradishar. (2018). Adjuvant Anthracyclines in Breast Cancer: What Is Their Role?. The Oncologist. 23(10). 1153–1161. 58 indexed citations
17.
Farmer, Steven A., Susan Magasi, Luke O. Hansen, et al.. (2016). Patient, Caregiver, and Physician Work in Heart Failure Disease Management. Mayo Clinic Proceedings. 91(8). 1056–1065. 22 indexed citations
18.
Ambrosy, Andrew P., Gregg C. Fonarow, Javed Butler, et al.. (2014). The Global Health and Economic Burden of Hospitalizations for Heart Failure. Journal of the American College of Cardiology. 63(12). 1123–1133. 1467 indexed citations breakdown →
19.
Gheorghiade, Mihai, Ami N. Shah, Muthiah Vaduganathan, et al.. (2013). Recognizing Hospitalized Heart Failure as an Entity and Developing New Therapies to Improve Outcomes. Heart Failure Clinics. 9(3). 285–290. 28 indexed citations
20.
Gheorghiade, Mihai, Muthiah Vaduganathan, Gregg C. Fonarow, et al.. (2012). Anticoagulation in heart failure: current status and future direction. Heart Failure Reviews. 18(6). 797–813. 21 indexed citations

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.

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