Kaavya Paruchuri

2.2k total citations · 3 hit papers
20 papers, 1.2k citations indexed

About

Kaavya Paruchuri is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Genetics. According to data from OpenAlex, Kaavya Paruchuri has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 5 papers in Surgery and 5 papers in Genetics. Recurrent topics in Kaavya Paruchuri's work include Genetic Associations and Epidemiology (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). Kaavya Paruchuri is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). Kaavya Paruchuri collaborates with scholars based in United States, South Korea and Canada. Kaavya Paruchuri's co-authors include Xudong Liao, Mukesh K. Jain, Klaus H. Kaestner, Yuan Lu, Chris A. Flask, Karine Clément, Anne Hamik, Julian Kim, Kurt Q. Lu and Ganapati H. Mahabeleshwar and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Kaavya Paruchuri

19 papers receiving 1.1k citations

Hit Papers

Krüppel-like factor 4 regulates macrophage polarization 2011 2026 2016 2021 2011 2021 2023 200 400 600

Peers

Kaavya Paruchuri
Laurent Burnier Switzerland
Anne Zufferey Switzerland
Zhenyin Tao United States
Hui Shi China
K. Vinod Vijayan United States
Laurent Burnier Switzerland
Kaavya Paruchuri
Citations per year, relative to Kaavya Paruchuri Kaavya Paruchuri (= 1×) peers Laurent Burnier

Countries citing papers authored by Kaavya Paruchuri

Since Specialization
Citations

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

Fields of papers citing papers by Kaavya Paruchuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaavya Paruchuri

This figure shows the co-authorship network connecting the top 25 collaborators of Kaavya Paruchuri. A scholar is included among the top collaborators of Kaavya Paruchuri 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 Kaavya Paruchuri. Kaavya Paruchuri 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.
Paruchuri, Kaavya, et al.. (2026). Repeat CRP measurements and incident myocardial infarction. American Journal of Preventive Cardiology. 101486–101486.
2.
Urbut, Sarah, So Mi Jemma Cho, Kaavya Paruchuri, et al.. (2025). Dynamic Importance of Genomic and Clinical Risk for Coronary Artery Disease Over the Life Course. Circulation Genomic and Precision Medicine. 18(1). e004681–e004681. 1 indexed citations
3.
Weiß, Jakob, Vineet K. Raghu, Kaavya Paruchuri, et al.. (2024). Deep Learning to Estimate Cardiovascular Risk From Chest Radiographs. Annals of Internal Medicine. 177(4). 409–417. 15 indexed citations
4.
Urbut, Sarah, Ming Wai Yeung, Shaan Khurshid, et al.. (2024). MSGene: a multistate model using genetic risk and the electronic health record applied to lifetime risk of coronary artery disease. Nature Communications. 15(1). 4884–4884. 5 indexed citations
5.
Cho, So Mi Jemma, Satoshi Koyama, Min Seo Kim, et al.. (2024). Improving Cardiovascular Disease Primary Prevention Treatment Thresholds in a New England Health Care System. SHILAP Revista de lepidopterología. 3(10). 101257–101257. 2 indexed citations
6.
Gilliland, Thomas, Jacqueline S. Dron, Margaret Sunitha Selvaraj, et al.. (2024). Genetic Architecture and Clinical Outcomes of Combined Lipid Disturbances. Circulation Research. 135(2). 265–276. 4 indexed citations
7.
Bhattacharya, Romit, Satoshi Koyama, Aniruddh P. Patel, et al.. (2024). Abstract 4141747: The OurHealth Study: A Decentralized Biobank of South Asian Americans. Circulation. 150(Suppl_1). 1 indexed citations
8.
Paruchuri, Kaavya, et al.. (2024). Using Sex‐Specific Polygenic Risk to Prognosticate Coronary Artery Disease in Women. Journal of the American Heart Association. 13(12). e034946–e034946. 4 indexed citations
9.
Schuermans, Art, So Mi Jemma Cho, Md Mesbah Uddin, et al.. (2023). Clonal Hematopoiesis of Indeterminate Potential Predicts Adverse Outcomes in Patients With Atherosclerotic Cardiovascular Disease. Journal of the American College of Cardiology. 81(20). 1996–2009. 83 indexed citations breakdown →
10.
Selvaraj, Margaret Sunitha, Kaavya Paruchuri, Sara Haidermota, et al.. (2022). Genome-wide discovery for diabetes-dependent triglycerides-associated loci. PLoS ONE. 17(10). e0275934–e0275934. 4 indexed citations
11.
Trinder, Mark, Kaavya Paruchuri, Sara Haidermota, et al.. (2022). Repeat Measures of Lipoprotein(a) Molar Concentration and Cardiovascular Risk. Journal of the American College of Cardiology. 79(7). 617–628. 59 indexed citations
12.
Zekavat, Seyedeh M., Elizabeth L. Chou, Akhil Pampana, et al.. (2022). Fibrillar Collagen Variants in Spontaneous Coronary Artery Dissection. JAMA Cardiology. 7(4). 396–396. 25 indexed citations
13.
Niroula, Abhishek, Aswin Sekar, Mark A. Murakami, et al.. (2021). Distinction of lymphoid and myeloid clonal hematopoiesis. Nature Medicine. 27(11). 1921–1927. 161 indexed citations breakdown →
14.
Paruchuri, Kaavya, Phoebe Finneran, Nicholas Marston, et al.. (2021). Outcomes of a smartphone-based application with live health-coaching post-percutaneous coronary intervention. EBioMedicine. 72. 103593–103593. 19 indexed citations
15.
Paruchuri, Kaavya, et al.. (2020). Digital health for primary prevention of cardiovascular disease: Promise to practice. SHILAP Revista de lepidopterología. 1(2). 59–61. 5 indexed citations
16.
Paruchuri, Kaavya, et al.. (2020). Abstract 15616: Virtual Care: Empowering Patients and Providers. Circulation. 142(Suppl_3). 1 indexed citations
17.
Sweeney, Megan, Kaavya Paruchuri, & Saul N. Weingart. (2018). Going Mobile: Resident Physicians' Assessment of the Impact of Tablet Computers on Clinical Tasks, Job Satisfaction, and Quality of Care. Applied Clinical Informatics. 9(3). 588–594. 5 indexed citations
18.
Bezzerides, Vassilios J., Colin Platt, Carolin Lerchenmüller, et al.. (2016). CITED4 induces physiologic hypertrophy and promotes functional recovery after ischemic injury. JCI Insight. 1(9). 69 indexed citations
19.
Liao, Xudong, Nikunj Sharma, Guangjin Zhou, et al.. (2011). Krüppel-like factor 4 regulates macrophage polarization. Journal of Clinical Investigation. 121(7). 2736–2749. 601 indexed citations breakdown →
20.
Liao, Xudong, Saptarsi M. Haldar, Yuan Lu, et al.. (2010). Krüppel-like factor 4 regulates pressure-induced cardiac hypertrophy. Journal of Molecular and Cellular Cardiology. 49(2). 334–338. 88 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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