Ami Vyas

1.2k total citations
66 papers, 864 citations indexed

About

Ami Vyas is a scholar working on Economics and Econometrics, Oncology and Surgery. According to data from OpenAlex, Ami Vyas has authored 66 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Economics and Econometrics, 19 papers in Oncology and 18 papers in Surgery. Recurrent topics in Ami Vyas's work include Health Systems, Economic Evaluations, Quality of Life (16 papers), Lipoproteins and Cardiovascular Health (15 papers) and Economic and Financial Impacts of Cancer (10 papers). Ami Vyas is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (16 papers), Lipoproteins and Cardiovascular Health (15 papers) and Economic and Financial Impacts of Cancer (10 papers). Ami Vyas collaborates with scholars based in United States, Germany and United Kingdom. Ami Vyas's co-authors include Usha Sambamoorthi, Amit D. Raval, Suresh Madhavan, Stephen Kogut, Xiaoyun Pan, D. Thakker, Dominik Lautsch, Martin Horack, Carl A. Baxter and Baishali Ambegaonkar and has published in prestigious journals such as Cancer Research, Scientific Reports and Atherosclerosis.

In The Last Decade

Ami Vyas

63 papers receiving 847 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ami Vyas United States 17 242 190 187 153 123 66 864
Roman Casciano United States 19 121 0.5× 251 1.3× 129 0.7× 214 1.4× 113 0.9× 68 859
Jordan K. Rosedahl United States 16 153 0.6× 79 0.4× 115 0.6× 208 1.4× 95 0.8× 35 803
Caterina Caminiti Italy 18 177 0.7× 59 0.3× 216 1.2× 150 1.0× 164 1.3× 69 1.1k
Hirohisa Imai Japan 22 465 1.9× 117 0.6× 252 1.3× 127 0.8× 71 0.6× 67 1.5k
Christopher Zacker United States 17 163 0.7× 244 1.3× 212 1.1× 97 0.6× 103 0.8× 49 1.2k
Rasool Salahi Iran 9 114 0.5× 76 0.4× 78 0.4× 129 0.8× 95 0.8× 12 672
Judith Walsh United States 6 237 1.0× 86 0.5× 235 1.3× 277 1.8× 110 0.9× 9 1.0k
Mark G. O’Doherty United Kingdom 16 229 0.9× 53 0.3× 163 0.9× 133 0.9× 168 1.4× 23 1.5k
John Soong Singapore 17 133 0.5× 124 0.7× 159 0.9× 131 0.9× 121 1.0× 48 907
Leigh Johnson United Kingdom 4 204 0.8× 269 1.4× 200 1.1× 584 3.8× 29 0.2× 5 1.1k

Countries citing papers authored by Ami Vyas

Since Specialization
Citations

This map shows the geographic impact of Ami Vyas'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 Vyas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ami Vyas more than expected).

Fields of papers citing papers by Ami Vyas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ami Vyas. 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 Vyas. The network helps show where Ami Vyas may publish in the future.

Co-authorship network of co-authors of Ami Vyas

This figure shows the co-authorship network connecting the top 25 collaborators of Ami Vyas. A scholar is included among the top collaborators of Ami Vyas 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 Vyas. Ami Vyas 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.
Wulff‐Burchfield, Elizabeth, Pamela Egan, Lee A. Hugar, et al.. (2024). Predictors of high-intensity care at the end of life among older adults with solid tumors: A population-based study. Journal of Geriatric Oncology. 15(5). 101774–101774. 1 indexed citations
2.
Kogut, Stephen & Ami Vyas. (2023). PHARMACY DEDUCTIBLES CAN COMPLICATE THE RELATIONSHIP BETWEEN MEASURES OF PATIENT COST SHARING AND MEDICATION ADHERENCE. Journal of Managed Care & Specialty Pharmacy. 29(2). 222–222. 1 indexed citations
3.
Kogut, Stephen, et al.. (2023). Evaluation of the association between health insurance status and healthcare utilization and expenditures among adult cancer survivors in the United States. Research in Social and Administrative Pharmacy. 19(5). 821–829. 2 indexed citations
4.
5.
Vyas, Ami, et al.. (2021). PCN147 Impact of Guideline-Concordant Treatment on Survival Among Older Women with Advanced Ovarian Cancer. Value in Health. 24. S46–S46. 1 indexed citations
6.
Vyas, Ami, et al.. (2020). Guideline-Concordant Treatment Among Elderly Women With HER2-Positive Metastatic Breast Cancer in the United States. Journal of the National Comprehensive Cancer Network. 18(4). 405–413. 8 indexed citations
7.
Lee, Sang‐Hak, Myung Ho Jeong, Seung‐Ho Hur, et al.. (2019). Dyslipidemia and Rate of Under-Target Low-Density Lipoprotein-Cholesterol in Patients with Coronary Artery Disease in Korea. Journal of Lipid and Atherosclerosis. 8(2). 242–242. 8 indexed citations
8.
Sohn, Hojoon, Ami Vyas, Lekha Puri, et al.. (2019). Costs and operation management of community outreach program for tuberculosis in tribal populations in India. Public Health Action. 9(2). 58–62. 6 indexed citations
9.
Kogut, Stephen, et al.. (2019). Association between polypharmacy and health-related quality of life among cancer survivors in the United States. Journal of Cancer Survivorship. 14(1). 89–99. 14 indexed citations
10.
11.
Ferrières, Jean, Dominik Lautsch, Baishali Ambegaonkar, et al.. (2018). Use of guideline-recommended management in established coronary heart disease in the observational DYSIS II study. International Journal of Cardiology. 270. 21–27. 9 indexed citations
12.
Raval, Amit D. & Ami Vyas. (2018). National Trends in Diabetes Medication Use in the United States, 2008-2015. Value in Health. 21. S72–S72. 1 indexed citations
13.
Alkhenizan, Abdullah, Martin Horack, Philippe Brudi, et al.. (2018). Prevalence of lipid abnormalities and cholesterol target value attainment in patients with stable coronary heart disease or an acute coronary syndrome in Saudi Arabia. Saudi Medical Journal. 39(7). 697–704. 3 indexed citations
14.
Raval, Amit D. & Ami Vyas. (2018). Trends in Healthcare Expenditures among Individuals with Arthritis in the United States from 2008 to 2014. The Journal of Rheumatology. 45(5). 705–716. 3 indexed citations
15.
Gitt, Anselm K., Dominik Lautsch, Jean Ferrières, et al.. (2017). Contemporary data on treatment practices for low-density lipoprotein cholesterol in 3867 patients who had suffered an acute coronary syndrome across the world. Data in Brief. 16. 369–375. 5 indexed citations
16.
Vyas, Ami, et al.. (2017). Impact of depression treatment on health-related quality of life among adults with cancer and depression: a population-level analysis. Journal of Cancer Survivorship. 11(5). 624–633. 19 indexed citations
17.
Vyas, Ami, S. Suresh Madhavan, & Usha Sambamoorthi. (2017). Differences in Medicare Expenditures Between Appalachian and Nationally Representative Cohorts of Elderly Women With Breast Cancer: An Application of Decomposition Technique. Journal of the National Comprehensive Cancer Network. 15(5). 578–587. 1 indexed citations
18.
Vyas, Ami, et al.. (2015). Racial/Ethnic disparities in Disability Prevalence. Value in Health. 18(3). A87–A87. 2 indexed citations
19.
20.
Vyas, Ami, et al.. (2011). Factors Influencing Adherence to Mammography Screening Guidelines in Appalachian Women Participating in a Mobile Mammography Program. Journal of Community Health. 37(3). 632–646. 36 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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