Daniel Bernstein

20.9k total citations · 5 hit papers
318 papers, 12.8k citations indexed

About

Daniel Bernstein is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Daniel Bernstein has authored 318 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Surgery, 84 papers in Cardiology and Cardiovascular Medicine and 68 papers in Molecular Biology. Recurrent topics in Daniel Bernstein's work include Transplantation: Methods and Outcomes (73 papers), Mechanical Circulatory Support Devices (41 papers) and Congenital Heart Disease Studies (34 papers). Daniel Bernstein is often cited by papers focused on Transplantation: Methods and Outcomes (73 papers), Mechanical Circulatory Support Devices (41 papers) and Congenital Heart Disease Studies (34 papers). Daniel Bernstein collaborates with scholars based in United States, Germany and Israel. Daniel Bernstein's co-authors include Brian K. Kobilka, Eric Schauble, Kavin Desai, Giovanni Fajardo, Andrzej Chruscinski, Mingming Zhao, Sushma Reddy, Gregory S. Barsh, Daniel Rohrer and Randy Bass and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Daniel Bernstein

305 papers receiving 12.5k citations

Hit Papers

A long noncoding RNA protects the... 1996 2026 2006 2016 2014 2018 2016 1996 2014 100 200 300 400 500

Peers

Daniel Bernstein
Filip K. Świrski United States
David A. Geller United States
Stephen M. Schwartz United States
Matthias Nahrendorf United States
Mary E. Russell United States
Andrew R. Marks United States
Lawrence Steinman United States
Filip K. Świrski United States
Daniel Bernstein
Citations per year, relative to Daniel Bernstein Daniel Bernstein (= 1×) peers Filip K. Świrski

Countries citing papers authored by Daniel Bernstein

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bernstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Bernstein

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

All Works

20 of 20 papers shown
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Tierney, Elif Seda Selamet, Latha Palaniappan, Mary B. Leonard, et al.. (2023). Design and rationale of re-energize fontan: Randomized exercise intervention designed to maximize fitness in fontan patients. American Heart Journal. 259. 68–78. 7 indexed citations
3.
Antoniuk, Evan R., et al.. (2023). Predicting the synthesizability of crystalline inorganic materials from the data of known material compositions. npj Computational Materials. 9(1). 19 indexed citations
4.
Coronado, Pamela E. Rios, Mingming Zhao, Martin R. Pfaller, et al.. (2022). Blood flow modeling reveals improved collateral artery performance during the regenerative period in mammalian hearts. Nature Cardiovascular Research. 1(8). 775–790. 11 indexed citations
5.
Phansalkar, Ragini, Mingming Zhao, Sai Saroja Kolluru, et al.. (2021). Coronary blood vessels from distinct origins converge to equivalent states during mouse and human development. eLife. 10. 22 indexed citations
6.
Voltarelli, Vanessa Azevedo, Michael Coronado, Juliane C. Campos, et al.. (2021). β2-Adrenergic Signaling Modulates Mitochondrial Function and Morphology in Skeletal Muscle in Response to Aerobic Exercise. Cells. 10(1). 146–146. 17 indexed citations
7.
Raftrey, Brian, Ian M. Williams, Pamela E. Rios Coronado, et al.. (2021). Dach1 Extends Artery Networks and Protects Against Cardiac Injury. Circulation Research. 129(7). 702–716. 31 indexed citations
8.
Duong, Son Q., Yulin Zhang, Matt Hall, et al.. (2021). Impact of institutional routine surveillance endomyocardial biopsy frequency in the first year on rejection and graft survival in pediatric heart transplantation. Pediatric Transplantation. 25(6). e14035–e14035. 4 indexed citations
9.
Magdy, Tarek, Mariam Jouni, Hui–Hsuan Kuo, et al.. (2021). Identification of Drug Transporter Genomic Variants and Inhibitors That Protect Against Doxorubicin-Induced Cardiotoxicity. Circulation. 145(4). 279–294. 59 indexed citations
10.
Tate, William J., et al.. (2021). Residency interviews in the digital era. Postgraduate Medical Journal. 98(1166). 892–894. 7 indexed citations
11.
Liu, Chao, Makenna M. Morck, Kristina B. Kooiker, et al.. (2021). Hypertrophic cardiomyopathy β-cardiac myosin mutation (P710R) leads to hypercontractility by disrupting super relaxed state. Proceedings of the National Academy of Sciences. 118(24). 52 indexed citations
12.
Watkins, W. Scott, Edgar J. Hernández, Brent W. Bisgrove, et al.. (2019). De novo and recessive forms of congenital heart disease have distinct genetic and phenotypic landscapes. Nature Communications. 10(1). 4722–4722. 49 indexed citations
13.
Peng, David M., Yulin Zhang, David N. Rosenthal, et al.. (2017). Impact of Heart Transplantation on the Functional Status of US Children With End-Stage Heart Failure. Circulation. 135(10). 939–950. 12 indexed citations
14.
Abilez, Oscar J., Evangeline Tzatzalos, Huaxiao Yang, et al.. (2017). Passive Stretch Induces Structural and Functional Maturation of Engineered Heart Muscle as Predicted by Computational Modeling. Stem Cells. 36(2). 265–277. 109 indexed citations
15.
Kodo, Kazuki, Sang-Ging Ong, Fereshteh Jahanbani, et al.. (2016). iPSC-derived cardiomyocytes reveal abnormal TGF-β signalling in left ventricular non-compaction cardiomyopathy. Nature Cell Biology. 18(10). 1031–1042. 129 indexed citations
16.
Reddy, Sushma, Dong‐Qing Hu, Mingming Zhao, et al.. (2016). Abstract 20371: Non-Cardiomyocyte MicroRNA-34a Mediates Dysregulation of Angiogenesis in RV Failure. Circulation. 134. 1 indexed citations
17.
Han, Pei, Wei Li, Jin Yang, et al.. (2014). A long non-coding RNA protects the heart from pathological hypertrophy. RePEc: Research Papers in Economics. 1 indexed citations
18.
Canter, Charles E., Robert E. Shaddy, Daniel Bernstein, et al.. (2007). Indications for Heart Transplantation in Pediatric Heart Disease. Circulation. 115(5). 658–676. 172 indexed citations
19.
Ashley, Euan A., et al.. (2006). Abstract 453: Apelin Regulates Cardiac Contractility and Rescues Neurohormonal Heart Failure. Circulation. 114. 3 indexed citations
20.
Bernstein, Daniel, et al.. (1979). Is conception in infertile couples treatment-related? A survey of 309 pregnancies.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 24(1). 65–7. 21 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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