Kaveh Navab

637 total citations
13 papers, 405 citations indexed

About

Kaveh Navab is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Clinical Biochemistry. According to data from OpenAlex, Kaveh Navab has authored 13 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Clinical Biochemistry. Recurrent topics in Kaveh Navab's work include Cholesterol and Lipid Metabolism (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Paraoxonase enzyme and polymorphisms (2 papers). Kaveh Navab is often cited by papers focused on Cholesterol and Lipid Metabolism (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Paraoxonase enzyme and polymorphisms (2 papers). Kaveh Navab collaborates with scholars based in United States, Norway and Venezuela. Kaveh Navab's co-authors include Mohamad Navab, Alan M. Fogelman, Srinivasa T. Reddy, Robin Farias‐Eisner, Greg Hough, David Meriwether, Jesús A. Araujo, Constantinos Sioutas, A. Chattopadhyay and Zhi Ning and has published in prestigious journals such as Circulation, The FASEB Journal and Journal of Lipid Research.

In The Last Decade

Kaveh Navab

13 papers receiving 402 citations

Peers

Kaveh Navab
Daniel Reyner United States
Kaveh Navab
Citations per year, relative to Kaveh Navab Kaveh Navab (= 1×) peers Daniel Reyner

Countries citing papers authored by Kaveh Navab

Since Specialization
Citations

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

Fields of papers citing papers by Kaveh Navab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaveh Navab

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

All Works

13 of 13 papers shown
1.
Nawathe, Pooja, Jack Green, Phillip Ng, et al.. (2021). Creation of a dedicated line team for critically ill patients with COVID-19: A multidisciplinary approach to maximize resource utilization during the COVID-19 pandemic. The Journal of Vascular Access. 23(3). 348–352. 1 indexed citations
2.
Hoftman, Nir, Kaveh Navab, Fereidoun Abtin, et al.. (2017). Utilizing Forced Vital Capacity to Predict Low Lung Compliance and Select Intraoperative Tidal Volume During Thoracic Surgery. Anesthesia & Analgesia. 125(6). 1922–1930. 5 indexed citations
3.
Gao, Feng, et al.. (2015). The dual nature of HDL: Anti‐Inflammatory and pro‐Inflammatory. BioFactors. 41(3). 153–159. 51 indexed citations
4.
Navab, Kaveh, et al.. (2014). Systemic Inflammation, Intestine, and Paraoxonase-1. Advances in experimental medicine and biology. 824. 83–88. 7 indexed citations
5.
Navab, Kaveh, et al.. (2014). Inflammation, High Density Lipoprotein and Endothelium. Current Medicinal Chemistry. 21(25). 2902–2909. 10 indexed citations
6.
Sharma, Salil, Soban Umar, François Potus, et al.. (2014). Apolipoprotein A-I Mimetic Peptide 4F Rescues Pulmonary Hypertension by Inducing MicroRNA-193-3p. Circulation. 130(9). 776–785. 70 indexed citations
7.
Shabihkhani, Maryam, et al.. (2014). High‐density lipoprotein Mimetic peptide 4F acts on the intestinal microbiota and reduces systemic inflammation (LB533). The FASEB Journal. 28(S1). 1 indexed citations
8.
Li, Rongsong, Mohamad Navab, Payam Pakbin, et al.. (2013). Ambient ultrafine particles alter lipid metabolism and HDL anti-oxidant capacity in LDLR-null mice. Journal of Lipid Research. 54(6). 1608–1615. 89 indexed citations
9.
Su, Feng, Víctor Grijalva, Kaveh Navab, et al.. (2012). HDL Mimetics Inhibit Tumor Development in Both Induced and Spontaneous Mouse Models of Colon Cancer. Molecular Cancer Therapeutics. 11(6). 1311–1319. 61 indexed citations
10.
Kelesidis, Theodoros, Otto O. Yang, Judith S. Currier, et al.. (2011). HIV-1 infected patients with suppressed plasma viremia on treatment have pro-inflammatory HDL. Lipids in Health and Disease. 10(1). 35–35. 23 indexed citations
11.
Vaziri, Nosratola D., Kaveh Navab, P. Gollapudi, et al.. (2011). Salutary Effects of Hemodialysis on Low-Density Lipoprotein Proinflammatory and High-Density Lipoprotein Anti-inflammatory Properties in Patient With End-Stage Renal Disease. Journal of the National Medical Association. 103(6). 524–533. 27 indexed citations
12.
Navab, Kaveh, et al.. (2011). Chronic Inflammatory Disorders and Accelerated Atherosclerosis: Chronic Kidney Disease. Current Pharmaceutical Design. 17(1). 17–20. 41 indexed citations
13.
Vaziri, Nosratola D., Hwajin Kim, Hamid Moradi, et al.. (2010). Amelioration of nephropathy with apoA-1 mimetic peptide in apoE-deficient mice. Nephrology Dialysis Transplantation. 25(11). 3525–3534. 19 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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