Sutip Navankasattusas

2.5k total citations · 1 hit paper
27 papers, 1.6k citations indexed

About

Sutip Navankasattusas is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Sutip Navankasattusas has authored 27 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Cardiology and Cardiovascular Medicine and 9 papers in Surgery. Recurrent topics in Sutip Navankasattusas's work include Mechanical Circulatory Support Devices (8 papers), Cardiac Structural Anomalies and Repair (7 papers) and Cardiovascular Function and Risk Factors (6 papers). Sutip Navankasattusas is often cited by papers focused on Mechanical Circulatory Support Devices (8 papers), Cardiac Structural Anomalies and Repair (7 papers) and Cardiovascular Function and Risk Factors (6 papers). Sutip Navankasattusas collaborates with scholars based in United States, Norway and Germany. Sutip Navankasattusas's co-authors include L T Williams, Dale Milfay, Victor A. Fried, W. Michael Kavanaugh, Jaime A. Escobedo, Kenneth R. Chien, Dean Y. Li, Stavros G. Drakos, Kevin J. Whitehead and Ling Jing and has published in prestigious journals such as Cell, Circulation and Nature Medicine.

In The Last Decade

Sutip Navankasattusas

24 papers receiving 1.6k 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.

cDNA cloning of a Novel 85 kd protein that has SH2 domains and regulates binding of PI3-kinase to the PDGF β-receptor

1991 528 citations Jaime A. Escobedo, Sutip Navankasattusas et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sutip Navankasattusas United States	16	1.1k	318	221	202	181	27	1.6k
Alessandra Drusco United States	16	1.2k 1.1×	370 1.2×	114 0.5×	92 0.5×	98 0.5×	18	1.6k
Yasuaki Hata Japan	35	1.4k 1.3×	102 0.3×	139 0.6×	295 1.5×	106 0.6×	62	3.7k
Sean F. Hackett United States	28	2.1k 2.0×	164 0.5×	174 0.8×	94 0.5×	137 0.8×	54	3.2k
Daniel Sherman United States	10	1.1k 1.0×	170 0.5×	201 0.9×	49 0.2×	127 0.7×	13	1.6k
Helen Griffin United Kingdom	23	1.0k 1.0×	101 0.3×	160 0.7×	174 0.9×	77 0.4×	49	1.5k
Carolyn McClain United States	12	1.2k 1.1×	242 0.8×	96 0.4×	114 0.6×	53 0.3×	15	1.4k
Alexandre Dubrac France	19	863 0.8×	60 0.2×	257 1.2×	151 0.7×	206 1.1×	35	1.5k
Judy U. Earley United States	27	1.4k 1.4×	415 1.3×	254 1.1×	31 0.2×	198 1.1×	38	1.9k
Stephanie M. Zabski United States	13	1.1k 1.0×	78 0.2×	187 0.8×	67 0.3×	190 1.0×	15	1.9k
Masayo Nakagawa Japan	13	919 0.9×	341 1.1×	224 1.0×	38 0.2×	139 0.8×	17	1.3k

Countries citing papers authored by Sutip Navankasattusas

Since Specialization

Citations

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

Fields of papers citing papers by Sutip Navankasattusas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sutip Navankasattusas

This figure shows the co-authorship network connecting the top 25 collaborators of Sutip Navankasattusas. A scholar is included among the top collaborators of Sutip Navankasattusas 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 Sutip Navankasattusas. Sutip Navankasattusas 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

Cluntun, Ahmad A., Thirupura S. Shankar, Ling Jing, et al.. (2024). Enhancing mitochondrial pyruvate metabolism ameliorates ischemic reperfusion injury in the heart. JCI Insight. 9(17). 9 indexed citations

Cluntun, Ahmad A., Thirupura S. Shankar, Ling Jing, et al.. (2024). Enhancing mitochondrial pyruvate metabolism ameliorates ischemic reperfusion injury in the heart. JCI Insight. 9(21).

Amrute, Junedh, Lulu Lai, Pan Ma, et al.. (2023). Defining cardiac functional recovery in end-stage heart failure at single-cell resolution. Nature Cardiovascular Research. 2(4). 399–416. 28 indexed citations

Verma, Vipin, Iosif Taleb, Rachit Badolia, et al.. (2021). Remodeling of t-system and proteins underlying excitation-contraction coupling in aging versus failing human heart. SHILAP Revista de lepidopterología. 7(1). 16–16. 14 indexed citations

Taleb, Iosif, Chris Stubben, Ling Jing, et al.. (2021). FGF21 (Fibroblast Growth Factor 21) Defines a Potential Cardiohepatic Signaling Circuit in End-Stage Heart Failure. Circulation Heart Failure. 15(3). e008910–e008910. 28 indexed citations

Badolia, Rachit, E. Dale Abel, Iosif Taleb, et al.. (2020). The Role of Nonglycolytic Glucose Metabolism in Myocardial Recovery Upon Mechanical Unloading and Circulatory Support in Chronic Heart Failure. Circulation. 142(3). 259–274. 54 indexed citations

Navankasattusas, Sutip, Nikolaos Diakos, Abdallah G. Kfoury, et al.. (2018). Advanced Failing Hearts Have a Wide Range of Fibrosis Including Overlap with Nonfailing Hearts. The Journal of Heart and Lung Transplantation. 37(4). S231–S232. 1 indexed citations

Tai-Nagara, Ikue, Keisuke Okabe, Yuki Sugiura, et al.. (2017). Placental labyrinth formation in mice requires endothelial FLRT2–UNC5B signaling. Development. 144(13). 2392–2401. 22 indexed citations

Seidel, Thomas, Sutip Navankasattusas, Nikolaos Diakos, et al.. (2017). Sheet-Like Remodeling of the Transverse Tubular System in Human Heart Failure Impairs Excitation-Contraction Coupling and Functional Recovery by Mechanical Unloading. Circulation. 135(17). 1632–1645. 62 indexed citations

10.

Diakos, Nikolaos, Sutip Navankasattusas, Jared Rutter, et al.. (2016). EVIDENCE OF GLYCOLYSIS UPREGULATION AND PYRUVATE MITOCHONDRIAL OXIDATION MISMATCH DURING MECHANICAL UNLOADING OF THE FAILING HUMAN HEART: IMPLICATIONS FOR CARDIAC RELOADING AND CONDITIONING. Journal of the American College of Cardiology. 67(13). 1274–1274. 16 indexed citations

11.

Navankasattusas, Sutip, et al.. (2016). Recovery Versus Remission. Heart Failure Clinics. 12(3). 449–459. 2 indexed citations

12.

Diakos, Nikolaos, Sutip Navankasattusas, E. Dale Abel, et al.. (2016). Evidence of Glycolysis Up-Regulation and Pyruvate Mitochondrial Oxidation Mismatch During Mechanical Unloading of the Failing Human Heart. JACC Basic to Translational Science. 1(6). 432–444. 109 indexed citations

13.

Diakos, Nikolaos, Sutip Navankasattusas, Omar Wever‐Pinzon, et al.. (2016). Relationship of Myocardial Fibrosis with the Potential of Mechanical Unloading to Induce Favorable Cardiac Structural and Functional Response. The Journal of Heart and Lung Transplantation. 35(4). S12–S13. 2 indexed citations

14.

Ranganathan, Punithavathi, Calpurnia Jayakumar, Sutip Navankasattusas, et al.. (2013). UNC5B Receptor Deletion Exacerbates Tissue Injury in Response to AKI. Journal of the American Society of Nephrology. 25(2). 239–249. 24 indexed citations

15.

Whitehead, Kevin J., Aubrey C. Chan, Sutip Navankasattusas, et al.. (2009). The cerebral cavernous malformation signaling pathway promotes vascular integrity via Rho GTPases. Nature Medicine. 15(2). 177–184. 276 indexed citations

16.

Navankasattusas, Sutip, Michèle Sawadogo, Marc van Bilsen, Chi V. Dang, & Kenneth R. Chien. (1994). The Basic Helix-Loop-Helix Protein Upstream Stimulating Factor Regulates the Cardiac Ventricular Myosin Light-Chain 2 Gene via Independent cis Regulatory Elements. Molecular and Cellular Biology. 14(11). 7331–7339. 11 indexed citations

17.

Navankasattusas, Sutip, et al.. (1994). The basic helix-loop-helix protein upstream stimulating factor regulates the cardiac ventricular myosin light-chain 2 gene via independent cis regulatory elements.. Molecular and Cellular Biology. 14(11). 7331–7339. 70 indexed citations

18.

Navankasattusas, Sutip, Hong Zhu, Arnold Garcia, Sylvia Μ. Evans, & Kenneth R. Chien. (1992). A Ubiquitous Factor (HF-la) and a Distinct Muscle Factor (HF-lb/MEF-2) Form an E-Box-Independent Pathway for Cardiac Muscle Gene Expression. Molecular and Cellular Biology. 12(4). 1469–1479. 25 indexed citations

19.

Escobedo, Jaime A., Sutip Navankasattusas, W. Michael Kavanaugh, et al.. (1991). cDNA cloning of a Novel 85 kd protein that has SH2 domains and regulates binding of PI3-kinase to the PDGF β-receptor. Cell. 65(1). 75–82. 528 indexed citations breakdown →

20.

Hsieh, Chih‐Lin, Sutip Navankasattusas, J A Escobedo, L T Williams, & Uta Francke. (1991). Chromosomal localization of the gene for AA-type platelet-derived growth factor receptor (PDGFRA) in humans and mice. Cytogenetic and Genome Research. 56(3-4). 160–163. 12 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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