Mohammadsharif Tabebordbar

4.3k total citations · 5 hit papers
15 papers, 3.2k citations indexed

About

Mohammadsharif Tabebordbar is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Mohammadsharif Tabebordbar has authored 15 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Genetics. Recurrent topics in Mohammadsharif Tabebordbar's work include CRISPR and Genetic Engineering (7 papers), Muscle Physiology and Disorders (7 papers) and Virus-based gene therapy research (6 papers). Mohammadsharif Tabebordbar is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Muscle Physiology and Disorders (7 papers) and Virus-based gene therapy research (6 papers). Mohammadsharif Tabebordbar collaborates with scholars based in United States, Iran and Switzerland. Mohammadsharif Tabebordbar's co-authors include Amy J. Wagers, Jason Cheng, Kexian Zhu, George M. Church, Wei Leong Chew, Jeffrey J. Widrick, Laurie A. Boyer, Ru Xiao, Luk H. Vandenberghe and Winston X. Yan and has published in prestigious journals such as Science, Cell and Nature Biotechnology.

In The Last Decade

Mohammadsharif Tabebordbar

14 papers receiving 3.2k citations

Hit Papers

In vivo gene editing in dystrophic mouse muscle and muscl... 2013 2026 2017 2021 2015 2013 2013 2016 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammadsharif Tabebordbar United States 12 2.9k 848 648 337 309 15 3.2k
Jonathan D. Chesnut United States 22 2.1k 0.7× 492 0.6× 242 0.4× 48 0.1× 139 0.4× 38 2.4k
Bernhard Gentner Italy 29 2.7k 0.9× 1.0k 1.2× 1.2k 1.8× 106 0.3× 137 0.4× 80 4.1k
Ami M. Kabadi United States 12 2.7k 0.9× 605 0.7× 142 0.2× 99 0.3× 71 0.2× 15 2.9k
Xiufang Pan United States 21 1.8k 0.6× 778 0.9× 52 0.1× 250 0.7× 282 0.9× 36 2.1k
Christian Pinset France 27 2.1k 0.7× 374 0.4× 133 0.2× 274 0.8× 265 0.9× 67 2.6k
Elizabeth L. Buza United States 27 1.4k 0.5× 905 1.1× 250 0.4× 146 0.4× 231 0.7× 48 2.9k
Angelo Lombardo Italy 26 3.2k 1.1× 1.8k 2.1× 108 0.2× 112 0.3× 127 0.4× 46 4.0k
Lingqian Wu China 24 1.2k 0.4× 865 1.0× 299 0.5× 56 0.2× 151 0.5× 186 2.4k
Mikołaj Piotr Zaborowski Poland 13 1.5k 0.5× 243 0.3× 519 0.8× 80 0.2× 56 0.2× 30 1.8k
Alessandro Bertero United States 21 1.6k 0.6× 197 0.2× 173 0.3× 173 0.5× 503 1.6× 35 2.2k

Countries citing papers authored by Mohammadsharif Tabebordbar

Since Specialization
Citations

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

Fields of papers citing papers by Mohammadsharif Tabebordbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammadsharif Tabebordbar

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

All Works

15 of 15 papers shown
1.
Stanton, Alexandra C., Kim A. Lagerborg, Emily M. King, et al.. (2022). Systemic administration of novel engineered AAV capsids facilitates enhanced transgene expression in the macaque CNS. Med. 4(1). 31–50.e8. 34 indexed citations
2.
Tabebordbar, Mohammadsharif, Kim A. Lagerborg, Alexandra C. Stanton, et al.. (2021). Directed evolution of a family of AAV capsid variants enabling potent muscle-directed gene delivery across species. Cell. 184(19). 4919–4938.e22. 292 indexed citations breakdown →
3.
Buchanan, Sean M., Feodor D. Price, Alessandra Castiglioni, et al.. (2020). Pro-myogenic small molecules revealed by a chemical screen on primary muscle stem cells. Skeletal Muscle. 10(1). 28–28. 8 indexed citations
4.
Goldstein, Jill M., Mohammadsharif Tabebordbar, Kexian Zhu, et al.. (2019). In Situ Modification of Tissue Stem and Progenitor Cell Genomes. Cell Reports. 27(4). 1254–1264.e7. 35 indexed citations
5.
Tabebordbar, Mohammadsharif, Jie Cheng, Wei Leong Chew, et al.. (2016). In vivo gene editing in dystrophic mouse muscle and muscle stem cells. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
6.
Chew, Wei Leong, Mohammadsharif Tabebordbar, Jason Cheng, et al.. (2016). A multifunctional AAV–CRISPR–Cas9 and its host response. Nature Methods. 13(10). 868–874. 479 indexed citations breakdown →
7.
Tabebordbar, Mohammadsharif, Kexian Zhu, Jason Chia‐Hsien Cheng, et al.. (2016). 483. In Vivo DMD Gene Editing in Muscles and Muscle Stem Cells of Dystrophic Mice. Molecular Therapy. 24. S191–S192.
8.
Tabebordbar, Mohammadsharif, Kexian Zhu, Jason Cheng, et al.. (2015). In vivo gene editing in dystrophic mouse muscle and muscle stem cells. Science. 351(6271). 407–411. 788 indexed citations breakdown →
9.
Klattenhoff, Carla, Johanna C. Scheuermann, Lauren E. Surface, et al.. (2013). Braveheart, a Long Noncoding RNA Required for Cardiovascular Lineage Commitment. Cell. 152(3). 570–583. 733 indexed citations breakdown →
10.
Tabebordbar, Mohammadsharif, Salvatore Iovino, Christie Ciarlo, et al.. (2013). A Zebrafish Embryo Culture System Defines Factors that Promote Vertebrate Myogenesis across Species. Cell. 155(4). 909–921. 123 indexed citations
11.
Zangi, Lior, Kathy O. Lui, Alexander von Gise, et al.. (2013). Modified mRNA directs the fate of heart progenitor cells and induces vascular regeneration after myocardial infarction. Nature Biotechnology. 31(10). 898–907. 501 indexed citations breakdown →
12.
Tabebordbar, Mohammadsharif, Eric T. Wang, & Amy J. Wagers. (2011). Skeletal Muscle Degenerative Diseases and Strategies for Therapeutic Muscle Repair. Annual Review of Pathology Mechanisms of Disease. 8(1). 441–475. 60 indexed citations
13.
Seifinejad, Ali, Mohammadsharif Tabebordbar, Hossein Baharvand, Laurie A. Boyer, & Ghasem Hosseini Salekdeh. (2010). Progress and Promise Towards Safe Induced Pluripotent Stem Cells for Therapy. Stem Cell Reviews and Reports. 6(2). 297–306. 48 indexed citations
14.
Totonchi, Mehdi, Adeleh Taei, Ali Seifinejad, et al.. (2009). Feeder- and serum-free establishment and expansion of human induced pluripotent stem cells. The International Journal of Developmental Biology. 54(5). 877–886. 86 indexed citations
15.
Kabiri, Mahboubeh, Mohammad Ali Amoozegar, Mohammadsharif Tabebordbar, Kambiz Gilany, & Ghasem Hosseini Salekdeh. (2009). Effects of Selenite and Tellurite on Growth, Physiology, and Proteome of a Moderately Halophilic Bacterium. Journal of Proteome Research. 8(6). 3098–3108. 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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