Mohammad Hassanipour

2.9k total citations · 1 hit paper
7 papers, 2.1k citations indexed

About

Mohammad Hassanipour is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Mohammad Hassanipour has authored 7 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Surgery and 2 papers in Genetics. Recurrent topics in Mohammad Hassanipour's work include Pluripotent Stem Cells Research (5 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Congenital heart defects research (2 papers). Mohammad Hassanipour is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Congenital heart defects research (2 papers). Mohammad Hassanipour collaborates with scholars based in United States. Mohammad Hassanipour's co-authors include Chunhui Xu, Joseph Gold, Michael A. Laflamme, Veronica Muskheli, Charles E. Murry, Chris O’Sullivan, Yinhong Chen, Sarah Dupras, Elina Minami and Lila R. Collins and has published in prestigious journals such as Circulation, Nature Biotechnology and Scientific Reports.

In The Last Decade

Mohammad Hassanipour

7 papers receiving 2.1k citations

Hit Papers

Cardiomyocytes derived fr... 2007 2026 2013 2019 2007 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Hassanipour United States 5 1.6k 1.3k 493 438 314 7 2.1k
Yinhong Chen United States 7 1.3k 0.8× 1.0k 0.8× 385 0.8× 378 0.9× 233 0.7× 13 1.8k
Mirit Snir Israel 6 2.2k 1.4× 1.5k 1.1× 469 1.0× 553 1.3× 390 1.2× 6 2.7k
Dario Sirabella United States 12 1.2k 0.7× 868 0.6× 285 0.6× 537 1.2× 322 1.0× 19 1.8k
Wolfram H. Zimmermann Germany 20 1.2k 0.7× 1.3k 1.0× 879 1.8× 698 1.6× 201 0.6× 37 2.5k
Hideki Uosaki Japan 21 1.6k 1.0× 767 0.6× 231 0.5× 308 0.7× 99 0.3× 40 2.0k
Kristin Schwanke Germany 18 1.3k 0.8× 747 0.6× 219 0.4× 522 1.2× 171 0.5× 35 1.8k
Malte Tiburcy Germany 23 1.4k 0.9× 956 0.7× 482 1.0× 581 1.3× 107 0.3× 54 2.4k
Chad H. Koonce United States 13 1.2k 0.8× 574 0.4× 183 0.4× 320 0.7× 102 0.3× 13 1.6k
Veronica Muskheli United States 13 2.7k 1.7× 2.5k 1.9× 1.1k 2.3× 1.1k 2.5× 479 1.5× 14 4.0k
Mark Gagliardi Canada 14 1.6k 1.0× 1.2k 0.9× 429 0.9× 889 2.0× 59 0.2× 17 2.4k

Countries citing papers authored by Mohammad Hassanipour

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Hassanipour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Hassanipour

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

All Works

7 of 7 papers shown
1.
Kotterman, Melissa A., Kevin J. Whittlesey, Gabriel Brooks, et al.. (2019). P1516Novel cardiotropic AAV variant C102 vectors show superior gene delivery & reduced immunogenicity in non-human primates, transduction of human cardiomyocytes, & correction of Fabry disease phenotype. European Heart Journal. 40(Supplement_1). 3 indexed citations
2.
Yang, Jiwei, et al.. (2016). A novel lineage restricted, pericyte-like cell line isolated from human embryonic stem cells. Scientific Reports. 6(1). 24403–24403. 20 indexed citations
3.
Xu, Chunhui, Mohammad Hassanipour, Yan Li, et al.. (2010). Efficient Generation and Cryopreservation of Cardiomyocytes Derived from Human Embryonic Stem Cells. Regenerative Medicine. 6(1). 53–66. 72 indexed citations
4.
Laflamme, Michael A., Anna Naumova, Veronica Muskheli, et al.. (2007). Cardiomyocytes derived from human embryonic stem cells in pro-survival factors enhance function of infarcted rat hearts. Nature Biotechnology. 25(9). 1015–1024. 1619 indexed citations breakdown →
5.
Laflamme, Michael A., Chunhui Xu, Mohammad Hassanipour, et al.. (2006). Abstract 553: Human Embryonic Stem Cell-Derived Cardiomyocytes Form Human Myocardium and Improve Cardiac Function in Infarcted Rat Hearts. Circulation. 114. 1 indexed citations
6.
Xu, Chunhui, et al.. (2006). Cardiac Bodies: A Novel Culture Method for Enrichment of Cardiomyocytes Derived from Human Embryonic Stem Cells. Stem Cells and Development. 15(5). 631–639. 63 indexed citations
7.
Laflamme, Michael A., Joseph Gold, Chunhui Xu, et al.. (2005). Formation of Human Myocardium in the Rat Heart from Human Embryonic Stem Cells. American Journal Of Pathology. 167(3). 663–671. 337 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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