Vijay Nambi

15.9k total citations · 3 hit papers
309 papers, 9.3k citations indexed

About

Vijay Nambi is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Vijay Nambi has authored 309 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 184 papers in Cardiology and Cardiovascular Medicine, 103 papers in Surgery and 47 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Vijay Nambi's work include Lipoproteins and Cardiovascular Health (70 papers), Cardiovascular Function and Risk Factors (40 papers) and Blood Pressure and Hypertension Studies (38 papers). Vijay Nambi is often cited by papers focused on Lipoproteins and Cardiovascular Health (70 papers), Cardiovascular Function and Risk Factors (40 papers) and Blood Pressure and Hypertension Studies (38 papers). Vijay Nambi collaborates with scholars based in United States, Pakistan and Canada. Vijay Nambi's co-authors include Christie M. Ballantyne, Salim S. Virani, Aaron R. Folsom, Eric Boerwinkle, Ron C. Hoogeveen, Josef Coresh, Lloyd E. Chambless, James A. de Lemos, Elizabeth Selvin and Thomas H. Mosley and has published in prestigious journals such as New England Journal of Medicine, JAMA and Circulation.

In The Last Decade

Vijay Nambi

283 papers receiving 9.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Prognostic Value of Myeloperoxidase in Patients with Chest Pain

2003 796 citations Vijay Nambi et al. profile →
Carotid Intima-Media Thickness and Presence or Absence of Plaque Improves Prediction of Coronary Heart Disease Risk

2010 669 citations Vijay Nambi, Lloyd E. Chambless et al. Journal of the American College of Cardiology profile →
Cardiac Troponin T Measured by a Highly Sensitive Assay Predicts Coronary Heart Disease, Heart Failure, and Mortality in the Atherosclerosis Risk in Communities Study

2011 561 citations Vijay Nambi, James A. de Lemos et al. Circulation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vijay Nambi United States	48	5.4k	2.6k	1.3k	1.3k	1.2k	309	9.3k
Renate B. Schnabel Germany	56	8.6k 1.6×	1.6k 0.6×	795 0.6×	1.1k 0.8×	1.2k 0.9×	294	12.8k
Michael D. Shapiro United States	47	2.6k 0.5×	3.3k 1.2×	1.3k 1.0×	1.8k 1.4×	773 0.6×	283	8.8k
José Carlos Nicolau Brazil	46	4.8k 0.9×	2.7k 1.0×	1.4k 1.1×	974 0.8×	666 0.5×	339	9.3k
Anita Deswal United States	54	8.0k 1.5×	1.5k 0.6×	1.3k 1.0×	879 0.7×	1.1k 0.9×	203	11.2k
José Ramón González‐Juanatey Spain	52	8.4k 1.6×	3.1k 1.2×	1.6k 1.2×	887 0.7×	1.1k 0.8×	795	13.1k
Katsumi Miyauchi Japan	38	2.9k 0.5×	2.8k 1.1×	960 0.7×	1.1k 0.9×	653 0.5×	303	6.2k
José Antônio Franchini Ramires Brazil	45	5.4k 1.0×	3.4k 1.3×	1.0k 0.8×	1.8k 1.4×	965 0.8×	486	9.5k
Jassim Al Suwaidi Qatar	41	4.9k 0.9×	2.1k 0.8×	1.1k 0.8×	1.5k 1.2×	854 0.7×	316	8.6k
Antonio Fernández‐Ortíz Spain	52	7.6k 1.4×	5.0k 1.9×	1.2k 1.0×	2.0k 1.5×	1.5k 1.2×	360	11.1k
John Parissis Greece	53	7.8k 1.5×	1.8k 0.7×	752 0.6×	722 0.6×	1.5k 1.2×	348	11.6k

Countries citing papers authored by Vijay Nambi

Since Specialization

Citations

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

Fields of papers citing papers by Vijay Nambi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Nambi

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

All Works

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20 of 20 papers shown

Jia, Xiaoming, Xu Lu, Chao Cheng, et al.. (2025). Does Adiponectin Inform Cardiovascular Risk in Older Adults?. JACC Advances. 4(3). 101625–101625. 1 indexed citations

Pandey, Ambarish, Kershaw V. Patel, Matthew W. Segar, et al.. (2024). Association of High-Density Lipoprotein Parameters and Risk of Heart Failure. JACC Heart Failure. 12(7). 1242–1253. 5 indexed citations

Fudim, Marat, Stephen J. Greene, Vijay Nambi, et al.. (2024). Ongoing and future clinical trials of device therapies for patients with heart failure. Current Problems in Cardiology. 49(11). 102805–102805. 1 indexed citations

Vigen, Rebecca, Colby Ayers, Jarett D. Berry, et al.. (2024). Individual and Joint Associations of High‐Sensitivity Troponin I and High‐Sensitivity Troponin T with Cardiac Phenotypes and Outcomes in the General Population: An Analysis From the Dallas Heart Study. Journal of the American Heart Association. 13(13). e034549–e034549. 4 indexed citations

Sharafkhaneh, Amir, et al.. (2023). Obstructive sleep apnea modulates clinical outcomes post-acute myocardial infarction: A large longitudinal veterans’ dataset report. Respiratory Medicine. 211. 107214–107214. 5 indexed citations

Hageman, Steven H J, Carmen Petitjean, Lisa Pennells, et al.. (2023). Improving 10-year cardiovascular risk prediction in apparently healthy people: flexible addition of risk modifiers on top of SCORE2. European Journal of Preventive Cardiology. 30(15). 1705–1714. 18 indexed citations

Nazir, Salik, Abdul Mannan Khan Minhas, Vijay Nambi, et al.. (2022). Outcomes of Hospitalizations With Septic Shock Complicated by Types 1 and 2 Myocardial Infarction. The American Journal of Cardiology. 174. 27–33. 2 indexed citations

Jia, Xiaoming, Leo F. Buckley, Mahmoud Al Rifai, et al.. (2022). Abstract 11125: Association of Interleukin-6 and Interleukin-18 With Global Cardiovascular Disease in Older Adults. Circulation. 146(Suppl_1). 1 indexed citations

Deshotels, Matthew R., Ali Agha, Salim S. Virani, et al.. (2022). Genetic Testing for Hypertriglyceridemia in Academic Lipid Clinics: Implications for Precision Medicine—Brief Report. Arteriosclerosis Thrombosis and Vascular Biology. 42(12). 1461–1467. 17 indexed citations

10.

Agha, Ali, Aliza Hussain, Carol Sun, et al.. (2021). THE PROGNOSTIC ROLE OF MATRIX METALLOPROTEINASE 7 (MMP-7) AMONG OLDER ADULTS: ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY. Journal of the American College of Cardiology. 77(18). 1635–1635. 1 indexed citations

11.

Lewis, Alana, Colby Ayers, Elizabeth Selvin, et al.. (2020). Racial Differences in Malignant Left Ventricular Hypertrophy and Incidence of Heart Failure. Circulation. 141(12). 957–967. 34 indexed citations

12.

Jia, Xiaoming, Wensheng Sun, Ron C. Hoogeveen, et al.. (2019). High-Sensitivity Troponin I and Incident Coronary Events, Stroke, Heart Failure Hospitalization, and Mortality in the ARIC Study. Circulation. 139(23). 2642–2653. 152 indexed citations

13.

Florido, Roberta, Lucia Kwak, Mariana Lazo, et al.. (2018). Six-Year Changes in Physical Activity and the Risk of Incident Heart Failure. Circulation. 137(20). 2142–2151. 46 indexed citations

14.

Nambi, Vijay, et al.. (2016). Troponin in Cardiovascular Disease Prevention: Updates and Future Direction. Current Atherosclerosis Reports. 18(3). 12–12. 28 indexed citations

15.

Agarwala, Anandita, Wensheng Sun, Vijay Nambi, et al.. (2016). Abstract 12141: ApoE-HDL Cholesterol Predicts Incident Cardiovascular Events: Aric Study. Circulation. 134(suppl_1). 2 indexed citations

16.

Cordero‐Reyes, Andrea M., Keith A. Youker, Ahmed M. Soliman, et al.. (2014). Abstract 19229: IL-18 a Powerful Activator of B-cells is Associated With Mortality in Acute Decompensated Heart Failure. Circulation. 130. 1 indexed citations

17.

Virani, Salim S., Wensheng Sun, Rhiannon Dodge, et al.. (2013). Abstract 14835: Carotid Artery Plaque Burden and Characteristics and Subsequent Risk of Incident Cardiovascular Events: The Atherosclerosis Risk in Communities (ARIC) Carotid Magnetic Resonance Imaging Study. Circulation. 128. 2 indexed citations

18.

Kayani, Waleed, Salman Bandeali, Vei-Vei Lee, et al.. (2012). Association between statins and infections after coronary artery bypass grafting. International Journal of Cardiology. 168(1). 117–120. 16 indexed citations

19.

Nambi, Vijay, et al.. (2011). Common carotid artery intima-media thickness is as good as carotid intima-media thickness of all carotid artery segments in improving prediction of coronary heart disease risk in the Atherosclerosis Risk in Communities (ARIC) study. European Heart Journal. 33(2). 183–190. 135 indexed citations

20.

Nambi, Vijay, Lloyd E. Chambless, Aaron R. Folsom, et al.. (2007). Abstract 3575: Carotid Intima-media Thickness Improves Coronary Heart Disease Risk Prediction In The Atherosclerosis Risk In Communities (ARIC) Study. Circulation. 116. 1 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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