Matthew J. Wolf

3.0k total citations
76 papers, 2.0k citations indexed

About

Matthew J. Wolf is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Matthew J. Wolf has authored 76 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 30 papers in Cardiology and Cardiovascular Medicine and 16 papers in Cellular and Molecular Neuroscience. Recurrent topics in Matthew J. Wolf's work include Neurobiology and Insect Physiology Research (14 papers), Cardiomyopathy and Myosin Studies (13 papers) and Infective Endocarditis Diagnosis and Management (8 papers). Matthew J. Wolf is often cited by papers focused on Neurobiology and Insect Physiology Research (14 papers), Cardiomyopathy and Myosin Studies (13 papers) and Infective Endocarditis Diagnosis and Management (8 papers). Matthew J. Wolf collaborates with scholars based in United States, Guadeloupe and Sweden. Matthew J. Wolf's co-authors include Richard W. Gross, Howard A. Rockman, John Turk, Robin Patel, Joseph A. Izatt, Hubert Amrein, Michael A. Choma, Mary C. Reedy, Lin Yu and Jian Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Matthew J. Wolf

71 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew J. Wolf United States 28 1.2k 467 420 280 206 76 2.0k
Keith Nehrke United States 37 2.4k 2.0× 270 0.6× 518 1.2× 162 0.6× 270 1.3× 97 3.5k
Pilar de la Peña Spain 31 1.7k 1.4× 631 1.4× 724 1.7× 92 0.3× 117 0.6× 81 2.4k
Danielle Château France 24 2.0k 1.7× 298 0.6× 368 0.9× 178 0.6× 552 2.7× 44 2.7k
Simone Renner Germany 21 1.0k 0.9× 251 0.5× 182 0.4× 496 1.8× 136 0.7× 43 2.1k
Serge Arnaudeau Switzerland 24 1.6k 1.3× 231 0.5× 549 1.3× 155 0.6× 491 2.4× 30 2.4k
Charles S. Rubin United States 37 2.7k 2.3× 228 0.5× 478 1.1× 212 0.8× 666 3.2× 63 3.6k
Catherine M. Fuller United States 40 3.3k 2.8× 372 0.8× 727 1.7× 287 1.0× 224 1.1× 91 4.3k
Peter Drain United States 21 962 0.8× 116 0.2× 404 1.0× 443 1.6× 232 1.1× 33 1.7k
Sylvain Féliciangéli France 20 1.3k 1.1× 217 0.5× 430 1.0× 82 0.3× 426 2.1× 27 1.9k
Ying Hu United States 30 1.3k 1.1× 106 0.2× 288 0.7× 127 0.5× 329 1.6× 92 2.2k

Countries citing papers authored by Matthew J. Wolf

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Wolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Wolf. 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 Matthew J. Wolf. The network helps show where Matthew J. Wolf may publish in the future.

Co-authorship network of co-authors of Matthew J. Wolf

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Wolf. A scholar is included among the top collaborators of Matthew J. Wolf 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 Matthew J. Wolf. Matthew J. Wolf 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
1.
Civelek, Mete, et al.. (2025). Dynamic map illuminates Hippo-cMyc module crosstalk driving cardiomyocyte proliferation. Development. 152(4). 1 indexed citations
2.
3.
Wolf, Matthew J., et al.. (2025). Advances in Drug Discovery for Cardiomyocyte Proliferation. Current Treatment Options in Cardiovascular Medicine. 27(1). 42–42. 1 indexed citations
4.
Young, A. P., Clint M. Upchurch, Mark D. Okusa, et al.. (2024). Cardiomyocyte PANX1 Controls Glycolysis and Neutrophil Recruitment in Hypertrophy. Circulation Research. 135(4). 503–517. 6 indexed citations
5.
Farber, Emily, Ola Engkvist, Ian P. Barrett, et al.. (2024). Multi-omic analysis reveals VEGFR2, PI3K, and JNK mediate the small molecule induction of human iPSC-derived cardiomyocyte proliferation. iScience. 27(8). 110485–110485. 1 indexed citations
6.
Draper, Isabelle, Wan‐Ting Huang, Timothy D. Calamaras, et al.. (2024). The splicing factor hnRNPL demonstrates conserved myocardial regulation across species and is altered in heart failure. FEBS Letters. 598(21). 2670–2682. 1 indexed citations
7.
Jomaa, Ahmad, et al.. (2024). Cell cycle specific, differentially tagged ribosomal proteins to measure phase specific transcriptomes from asynchronously cycling cells. Scientific Reports. 14(1). 1623–1623. 1 indexed citations
8.
Mendiola, Michelle, Aatish Thennavan, Kevin C. Zhou, et al.. (2023). Conserved chamber-specific polyploidy maintains heart function in Drosophila. Development. 150(16). 8 indexed citations
9.
Nakhaei‐Rad, Saeideh, et al.. (2023). The Microenvironment of the Pathogenesis of Cardiac Hypertrophy. Cells. 12(13). 1780–1780. 44 indexed citations
10.
Young, A. P., et al.. (2020). Loss of Endogenously Cycling Adult Cardiomyocytes Worsens Myocardial Function. Circulation Research. 128(2). 155–168. 18 indexed citations
11.
Wolf, Matthew J., et al.. (2020). Suppression of store-operated calcium entry causes dilated cardiomyopathy of the Drosophila heart. Biology Open. 9(3). 8 indexed citations
12.
Cresci, Sharon, Naveen L. Pereira, Ferhaan Ahmad, et al.. (2019). Heart Failure in the Era of Precision Medicine: A Scientific Statement From the American Heart Association. Circulation Genomic and Precision Medicine. 12(10). 458–485. 44 indexed citations
13.
Abraham, Dennis & Matthew J. Wolf. (2013). Disruption of Sarcoendoplasmic Reticulum Calcium ATPase Function in Drosophila Leads to Cardiac Dysfunction. PLoS ONE. 8(10). e77785–e77785. 11 indexed citations
14.
Yu, Lin, et al.. (2012). Deletion of Siah-interacting protein gene in Drosophila causes cardiomyopathy. Molecular Genetics and Genomics. 287(4). 351–360. 3 indexed citations
15.
Yu, Lin, et al.. (2010). Affecting Rhomboid-3 Function Causes a Dilated Heart in Adult Drosophila. PLoS Genetics. 6(5). e1000969–e1000969. 26 indexed citations
16.
Kim, Il‐man & Matthew J. Wolf. (2009). Serial Examination of an Inducible and Reversible Dilated Cardiomyopathy in Individual Adult Drosophila. PLoS ONE. 4(9). e7132–e7132. 13 indexed citations
17.
Wolf, Matthew J. & Howard A. Rockman. (2008). Drosophila melanogaster as a model system for the genetics of postnatal cardiac function. Drug Discovery Today Disease Models. 5(3). 117–123. 32 indexed citations
18.
Allikian, Michael J., Gira Bhabha, Ahlke Heydemann, et al.. (2007). Reduced life span with heart and muscle dysfunction in Drosophila sarcoglycan mutants. Human Molecular Genetics. 16(23). 2933–2943. 56 indexed citations
19.
Curcio, Antonio, Takahisa Noma, Sathyamangla V. Naga Prasad, et al.. (2006). Competitive displacement of phosphoinositide 3-kinase from β-adrenergic receptor kinase-1 improves postinfarction adverse myocardial remodeling. American Journal of Physiology-Heart and Circulatory Physiology. 291(4). H1754–H1760. 26 indexed citations
20.
Wheeler, Ferrin C., Liliana Fernández, Kerri M. Carlson, et al.. (2005). QTL mapping in a mouse model of cardiomyopathy reveals an ancestral modifier allele affecting heart function and survival. Mammalian Genome. 16(6). 414–423. 20 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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