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

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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, Aaron R. Folsom et al. 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 →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Vijay Nambi	5.4k	2.6k	1.3k	1.3k	1.2k	309	9.3k
José Carlos Nicolau	4.8k 0.9×	2.7k 1.0×	1.4k 1.1×	974 0.8×	666 0.5×	339	9.3k
Renate B. Schnabel	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	2.6k 0.5×	3.3k 1.2×	1.3k 1.0×	1.8k 1.4×	773 0.6×	283	8.8k
Anita Deswal	8.0k 1.5×	1.5k 0.6×	1.3k 1.0×	879 0.7×	1.1k 0.9×	203	11.2k
José Antônio Franchini Ramires	5.4k 1.0×	3.4k 1.3×	1.0k 0.8×	1.8k 1.4×	965 0.8×	486	9.5k
José Ramón González‐Juanatey	8.4k 1.6×	3.1k 1.2×	1.6k 1.2×	887 0.7×	1.1k 0.8×	795	13.1k
Katsumi Miyauchi	2.9k 0.5×	2.8k 1.1×	960 0.7×	1.1k 0.9×	653 0.5×	303	6.2k
Jassim Al Suwaidi	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	7.6k 1.4×	5.0k 1.9×	1.2k 1.0×	2.0k 1.5×	1.5k 1.2×	360	11.1k
John R. Crouse	3.9k 0.7×	3.1k 1.2×	1.6k 1.2×	1.3k 1.0×	2.4k 1.9×	110	8.4k

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

Saadatagah, Seyedmohammad, Mohammadreza Naderian, Vijay Nambi, et al.. (2025). Recognition and management of persistent chylomicronemia: A joint expert clinical consensus by the National Lipid Association and the American Society for Preventive Cardiology. American Journal of Preventive Cardiology. 22. 100978–100978. 2 indexed citations

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

Özkan, Bige, Sui Zhang, Justin B. Echouffo‐Tcheugui, et al.. (2025). Adipokines and Transitions in Metabolic Health Over Time: The Atherosclerosis Risk In Communities (ARIC) Study. The Journal of Clinical Endocrinology & Metabolism. 110(9). e2939–e2945. 2 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

Smith, C. Wayne, Jarett D. Berry, Rebecca Scherzer, et al.. (2024). Intensive Blood Pressure Lowering in Individuals With Low Diastolic Blood Pressure and Elevated Troponin Levels in SPRINT. Journal of the American Heart Association. 13(6). e032493–e032493. 1 indexed citations

Ma, Yuan, Nicholas M. Pajewski, Ihab Hajjar, et al.. (2024). High-Sensitivity Troponin T, NT-proBNP, and Cognitive Outcomes in SPRINT. Hypertension. 81(9). 1956–1965. 2 indexed citations

Deshotels, Matthew R., Mahmoud Al Rifai, Ali Agha, et al.. (2024). Vital Exhaustion and Biomarkers Associated With Cardiovascular Risk. JACC Advances. 3(11). 101355–101355. 1 indexed citations

10.

Sharafkhaneh, Amir, et al.. (2023). Obesity paradox or hypoxia preconditioning: How obstructive sleep apnea modifies the Obesity-MI relationship. Sleep Medicine. 110. 132–136. 8 indexed citations

11.

Minhas, Abdul Mannan Khan, Kartik Gupta, Vardhmaan Jain, et al.. (2023). Trends in cardiovascular mortality in the United States from 1968 to 2019: analysis of the CDC WONDER database. European Journal of Preventive Cardiology. 31(5). e33–e35. 7 indexed citations

12.

Jia, Xiaoming, Leo F. Buckley, Mahmoud Al Rifai, et al.. (2023). Association of interleukin-6 and interleukin-18 with cardiovascular disease in older adults: Atherosclerosis Risk in Communities study. European Journal of Preventive Cardiology. 30(16). 1731–1740. 37 indexed citations

13.

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

14.

Florido, Roberta, Lucia Kwak, Justin B. Echouffo‐Tcheugui, et al.. (2022). Obesity, Galectin‐3, and Incident Heart Failure: The ARIC Study. Journal of the American Heart Association. 11(9). e023238–e023238. 19 indexed citations

15.

Elbadawi, Ayman, Islam Y. Elgendy, Mohamed Omer, et al.. (2021). Outcomes of Acute Myocardial Infarction in Patients with Familial Hypercholesteremia. The American Journal of Medicine. 134(8). 992–1001.e4. 7 indexed citations

16.

Segar, Matthew W., Byron C. Jaeger, Kershaw V. Patel, et al.. (2021). Development and Validation of Machine Learning–Based Race-Specific Models to Predict 10-Year Risk of Heart Failure: A Multicohort Analysis. Circulation. 143(24). 2370–2383. 72 indexed citations

17.

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

18.

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

19.

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

20.

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

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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