Silvia Lutucuta

975 total citations
7 papers, 717 citations indexed

About

Silvia Lutucuta is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Silvia Lutucuta has authored 7 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Silvia Lutucuta's work include Cardiomyopathy and Myosin Studies (5 papers), Viral Infections and Immunology Research (3 papers) and Cholesterol and Lipid Metabolism (2 papers). Silvia Lutucuta is often cited by papers focused on Cardiomyopathy and Myosin Studies (5 papers), Viral Infections and Immunology Research (3 papers) and Cholesterol and Lipid Metabolism (2 papers). Silvia Lutucuta collaborates with scholars based in United States. Silvia Lutucuta's co-authors include Ali J. Marian, Robert Roberts, Keith A. Youker, Pavan Bachireddy, Do‐Sun Lim, Alida J. Evans, Rajnikant Patel, Mark L. Entman, Christie M. Ballantyne and Blasé A. Carabello and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Circulation Research.

In The Last Decade

Silvia Lutucuta

7 papers receiving 696 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Silvia Lutucuta United States	6	438	235	179	93	85	7	717
Frank Diet Germany	11	566 1.3×	364 1.5×	172 1.0×	149 1.6×	28 0.3×	18	872
Bonnie Neltner United States	9	433 1.0×	128 0.5×	262 1.5×	49 0.5×	158 1.9×	14	714
Ali R. Keramati United States	11	190 0.4×	182 0.8×	72 0.4×	51 0.5×	38 0.4×	18	506
Viswanathan Rajagopalan United States	14	204 0.5×	224 1.0×	66 0.4×	123 1.3×	46 0.5×	24	575
Frédérique Dol France	13	281 0.6×	328 1.4×	174 1.0×	46 0.5×	58 0.7×	16	812
Kai Hu Germany	12	238 0.5×	253 1.1×	57 0.3×	180 1.9×	32 0.4×	16	615
Yongnan Fu China	10	213 0.5×	260 1.1×	77 0.4×	59 0.6×	41 0.5×	16	484
C. Adamy France	11	209 0.5×	207 0.9×	85 0.5×	34 0.4×	38 0.4×	13	528
Andrea Grund Germany	13	141 0.3×	231 1.0×	78 0.4×	34 0.4×	48 0.6×	17	458
Jorge Peter Netherlands	13	353 0.8×	157 0.7×	344 1.9×	255 2.7×	33 0.4×	25	726

Countries citing papers authored by Silvia Lutucuta

Since Specialization

Citations

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

Fields of papers citing papers by Silvia Lutucuta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Lutucuta

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

All Works

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7 of 7 papers shown

Zhang, Lianfeng, Rajnikant Patel, Silvia Lutucuta, et al.. (2004). Aldosterone, Through Novel Signaling Proteins, Is a Fundamental Molecular Bridge Between the Genetic Defect and the Cardiac Phenotype of Hypertrophic Cardiomyopathy. Circulation. 109(10). 1284–1291. 177 indexed citations

Lutucuta, Silvia, et al.. (2004). Induction and reversal of cardiac phenotype of human hypertrophic cardiomyopathy mutation cardiac troponin T-Q92 in switch on–switch off bigenic mice. Journal of the American College of Cardiology. 44(11). 2221–2230. 24 indexed citations

Lutucuta, Silvia, et al.. (2002). Effects of SREBF-1a and SCAP polymorphisms on plasma levels of lipids, severity, progression and regression of coronary atherosclerosis and response to therapy with fluvastatin. Journal of Molecular Medicine. 80(11). 737–744. 35 indexed citations

Nemoto, Shintaro, Gilberto DeFreitas, Tripti Halder, et al.. (2002). Spironolactone reverses myocyte disarray and interestitial fibrosis in the cardiac troponin T transgenic mouse model of hypertrophic cardiomyopathy. Journal of the American College of Cardiology. 39. 156–156. 2 indexed citations

Lutucuta, Silvia, et al.. (2001). Novel Polymorphisms in Promoter Region of ATP Binding Cassette Transporter Gene and Plasma Lipids, Severity, Progression, and Regression of Coronary Atherosclerosis and Response to Therapy. Circulation Research. 88(9). 969–973. 87 indexed citations

Patel, Rajnikant, Sherif F. Nagueh, Maha Abdellatif, et al.. (2001). Simvastatin Induces Regression of Cardiac Hypertrophy and Fibrosis and Improves Cardiac Function in a Transgenic Rabbit Model of Human Hypertrophic Cardiomyopathy. Circulation. 104(3). 317–324. 105 indexed citations

Lim, Do‐Sun, Silvia Lutucuta, Pavan Bachireddy, et al.. (2001). Angiotensin II Blockade Reverses Myocardial Fibrosis in a Transgenic Mouse Model of Human Hypertrophic Cardiomyopathy. Circulation. 103(6). 789–791. 287 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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