Michael J. Petrany

1.0k total citations
8 papers, 621 citations indexed

About

Michael J. Petrany is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Michael J. Petrany has authored 8 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Cell Biology. Recurrent topics in Michael J. Petrany's work include Muscle Physiology and Disorders (7 papers), RNA modifications and cancer (2 papers) and Virus-based gene therapy research (2 papers). Michael J. Petrany is often cited by papers focused on Muscle Physiology and Disorders (7 papers), RNA modifications and cancer (2 papers) and Virus-based gene therapy research (2 papers). Michael J. Petrany collaborates with scholars based in United States and Israel. Michael J. Petrany's co-authors include Douglas P. Millay, Chengyi Sun, Qingnian Goh, Nathan Salomonis, Vikram Prasad, Xiaoting Chen, Matthew T. Weirauch, Casey O. Swoboda, Kashish Chetal and Malgorzata E. Quinn and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Michael J. Petrany

7 papers receiving 616 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael J. Petrany United States	7	535	123	82	82	75	8	621
Mohamed I. Elashry Germany	14	367 0.7×	153 1.2×	131 1.6×	92 1.1×	47 0.6×	32	528
Angela Lek United States	14	686 1.3×	128 1.0×	72 0.9×	169 2.1×	70 0.9×	24	813
Isabel Carneiro Spain	8	471 0.9×	152 1.2×	83 1.0×	115 1.4×	82 1.1×	11	532
Hongorzul Davaapil United Kingdom	10	426 0.8×	193 1.6×	35 0.4×	55 0.7×	43 0.6×	13	752
Matthieu Dos Santos France	10	359 0.7×	83 0.7×	67 0.8×	34 0.4×	38 0.5×	17	417
Ramón Rı́os Spain	8	423 0.8×	132 1.1×	90 1.1×	105 1.3×	80 1.1×	15	519
Henry Collins‐Hooper United Kingdom	12	325 0.6×	115 0.9×	55 0.7×	81 1.0×	62 0.8×	21	462
Barbora Malecová United States	15	901 1.7×	179 1.5×	147 1.8×	44 0.5×	106 1.4×	20	1.1k
Qiang Gan United States	11	637 1.2×	145 1.2×	134 1.6×	35 0.4×	133 1.8×	20	812
Kristin N. Heller United States	14	569 1.1×	74 0.6×	91 1.1×	51 0.6×	180 2.4×	20	644

Countries citing papers authored by Michael J. Petrany

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Petrany

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Petrany

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

All Works

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8 of 8 papers shown

Swoboda, Casey O., et al.. (2025). The multimodal transcriptional response of denervated skeletal muscle involves regulation of Gramd1 genes impacting muscle size. Proceedings of the National Academy of Sciences. 122(39). e2424246122–e2424246122.

Sun, Chengyi, Casey O. Swoboda, Michael J. Petrany, et al.. (2024). Lineage tracing of nuclei in skeletal myofibers uncovers distinct transcripts and interplay between myonuclear populations. Nature Communications. 15(1). 9372–9372. 7 indexed citations

Hindi, Sajedah M., Michael J. Petrany, A. Cramer, et al.. (2023). Enveloped viruses pseudotyped with mammalian myogenic cell fusogens target skeletal muscle for gene delivery. Cell. 186(10). 2062–2077.e17. 21 indexed citations

Petrany, Michael J., Casey O. Swoboda, Chengyi Sun, et al.. (2020). Single-nucleus RNA-seq identifies transcriptional heterogeneity in multinucleated skeletal myofibers. Nature Communications. 11(1). 6374–6374. 212 indexed citations

Petrany, Michael J., Taejeong Song, Sakthivel Sadayappan, & Douglas P. Millay. (2020). Myocyte-derived Myomaker expression is required for regenerative fusion but exacerbates membrane instability in dystrophic myofibers. JCI Insight. 5(9). 28 indexed citations

Petrany, Michael J. & Douglas P. Millay. (2019). Cell Fusion: Merging Membranes and Making Muscle. Trends in Cell Biology. 29(12). 964–973. 97 indexed citations

Goh, Qingnian, Taejeong Song, Michael J. Petrany, et al.. (2019). Myonuclear accretion is a determinant of exercise-induced remodeling in skeletal muscle. eLife. 8. 79 indexed citations

Quinn, Malgorzata E., Qingnian Goh, Mitsutoshi Kurosaka, et al.. (2017). Myomerger induces fusion of non-fusogenic cells and is required for skeletal muscle development. Nature Communications. 8(1). 15665–15665. 177 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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