Mohammad A. Mandegar

4.4k total citations · 3 hit papers
29 papers, 2.7k citations indexed

About

Mohammad A. Mandegar is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Mohammad A. Mandegar has authored 29 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Genetics and 8 papers in Biomedical Engineering. Recurrent topics in Mohammad A. Mandegar's work include Pluripotent Stem Cells Research (9 papers), 3D Printing in Biomedical Research (8 papers) and CRISPR and Genetic Engineering (7 papers). Mohammad A. Mandegar is often cited by papers focused on Pluripotent Stem Cells Research (9 papers), 3D Printing in Biomedical Research (8 papers) and CRISPR and Genetic Engineering (7 papers). Mohammad A. Mandegar collaborates with scholars based in United States, Canada and United Kingdom. Mohammad A. Mandegar's co-authors include Bruce R. Conklin, Nathaniel Huebsch, Kevin E. Healy, Peter Loskill, Anurag Mathur, Sarah P. Otto, Kaifeng Shao, Luke P. Lee, Sivan G. Marcus and SoonGweon Hong and has published in prestigious journals such as Science, Nature Medicine and Nature Communications.

In The Last Decade

Mohammad A. Mandegar

29 papers receiving 2.6k citations

Hit Papers

CRISPRi-based genome-scale identification of functional l... 2015 2026 2018 2022 2016 2016 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad A. Mandegar United States 20 1.6k 905 596 398 391 29 2.7k
Sebastian Diecke Germany 30 2.6k 1.6× 844 0.9× 872 1.5× 141 0.4× 547 1.4× 68 3.7k
Tomo Šarić Germany 35 2.9k 1.8× 467 0.5× 895 1.5× 183 0.5× 422 1.1× 84 4.7k
Zhonggang Hou United States 25 3.3k 2.0× 867 1.0× 423 0.7× 193 0.5× 260 0.7× 32 4.0k
Anton V. Borovjagin United States 26 1.4k 0.9× 278 0.3× 524 0.9× 157 0.4× 127 0.3× 55 2.1k
Guokai Chen Macao 27 2.2k 1.3× 770 0.9× 483 0.8× 118 0.3× 216 0.6× 57 3.1k
Yen-Sin Ang United States 12 2.8k 1.8× 297 0.3× 417 0.7× 1.5k 3.8× 188 0.5× 13 3.5k
Niels Geijsen Netherlands 30 3.4k 2.1× 416 0.5× 535 0.9× 218 0.5× 141 0.4× 66 4.6k
Dan P. Felsenfeld United States 20 1.4k 0.8× 616 0.7× 280 0.5× 149 0.4× 370 0.9× 29 3.5k
Kamel Mamchaoui France 37 2.6k 1.6× 170 0.2× 412 0.7× 159 0.4× 329 0.8× 94 3.3k
Michael Delannoy United States 22 1.4k 0.9× 411 0.5× 236 0.4× 102 0.3× 294 0.8× 40 2.4k

Countries citing papers authored by Mohammad A. Mandegar

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad A. Mandegar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad A. Mandegar

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad A. Mandegar. A scholar is included among the top collaborators of Mohammad A. Mandegar 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 A. Mandegar. Mohammad A. Mandegar 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.
Fisher, Krishna J., Rupert Derler, Florian Sonntag, et al.. (2025). Polo-like kinase inhibitors increase AAV production by halting cell cycle progression. Molecular Therapy — Methods & Clinical Development. 33(1). 101412–101412. 1 indexed citations
2.
Ranjbarvaziri, Sara, Amara Greer-Short, Farshad Farshidfar, et al.. (2024). Targeting HDAC6 to treat heart failure with preserved ejection fraction in mice. Nature Communications. 15(1). 1352–1352. 24 indexed citations
3.
Fisher, Krishna J., et al.. (2024). Transcriptomics-informed pharmacology identifies epigenetic and cell cycle regulators that enhance AAV production. Molecular Therapy — Methods & Clinical Development. 32(4). 101384–101384. 2 indexed citations
4.
Reid, Christopher A., Markus Hörer, & Mohammad A. Mandegar. (2024). Advancing AAV production with high-throughput screening and transcriptomics. Cell and Gene Therapy Insights. 10(6). 821–840. 5 indexed citations
5.
Pérez-Bermejo, Juan A., Luke M. Judge, Kenneth Wu, et al.. (2023). Functional analysis of a common BAG3 allele associated with protection from heart failure. Nature Cardiovascular Research. 2(7). 615–628. 3 indexed citations
6.
Maddah, Mahnaz, et al.. (2020). Quantifying drug-induced structural toxicity in hepatocytes and cardiomyocytes derived from hiPSCs using a deep learning method. Journal of Pharmacological and Toxicological Methods. 105. 106895–106895. 27 indexed citations
7.
Eskildsen, Tilde, Mads Thomassen, Mark Burton, et al.. (2018). MESP1 knock-down in human iPSC attenuates early vascular progenitor cell differentiation after completed primitive streak specification. Developmental Biology. 445(1). 1–7. 8 indexed citations
8.
Ma, Zhen, Nathaniel Huebsch, Sang-Mo Koo, et al.. (2018). Contractile deficits in engineered cardiac microtissues as a result of MYBPC3 deficiency and mechanical overload. Nature Biomedical Engineering. 2(12). 955–967. 83 indexed citations
9.
Joy, David, Po-Lin So, Mohammad A. Mandegar, et al.. (2018). Spatiotemporal mosaic self-patterning of pluripotent stem cells using CRISPR interference. eLife. 7. 25 indexed citations
10.
Judge, Luke M., Juan A. Pérez-Bermejo, Annie Truong, et al.. (2017). A BAG3 chaperone complex maintains cardiomyocyte function during proteotoxic stress. JCI Insight. 2(14). 63 indexed citations
11.
Liu, Siyuan, Max A. Horlbeck, Seung Woo Cho, et al.. (2016). CRISPRi-based genome-scale identification of functional long noncoding RNA loci in human cells. Science. 355(6320). 530 indexed citations breakdown →
12.
Workman, Michael J., Maxime M. Mahé, Stephen L. Trisno, et al.. (2016). Engineered human pluripotent-stem-cell-derived intestinal tissues with a functional enteric nervous system. Nature Medicine. 23(1). 49–59. 480 indexed citations breakdown →
13.
Huebsch, Nathaniel, Peter Loskill, C. Ian Spencer, et al.. (2016). Miniaturized iPS-Cell-Derived Cardiac Muscles for Physiologically Relevant Drug Response Analyses. Scientific Reports. 6(1). 24726–24726. 179 indexed citations
14.
Maddah, Mahnaz, et al.. (2015). A Non-invasive Platform for Functional Characterization of Stem-Cell-Derived Cardiomyocytes with Applications in Cardiotoxicity Testing. Stem Cell Reports. 4(4). 621–631. 106 indexed citations
15.
Huebsch, Nathaniel, Peter Loskill, Mohammad A. Mandegar, et al.. (2014). Automated Video-Based Analysis of Contractility and Calcium Flux in Human-Induced Pluripotent Stem Cell-Derived Cardiomyocytes Cultured over Different Spatial Scales. Tissue Engineering Part C Methods. 21(5). 467–479. 226 indexed citations
16.
Mandegar, Mohammad A., Daniela Moralli, Sally A. Cowley, et al.. (2011). Functional human artificial chromosomes are generated and stably maintained in human embryonic stem cells. Human Molecular Genetics. 20(15). 2905–2913. 21 indexed citations
17.
Moralli, Daniela, et al.. (2010). An Improved Technique for Chromosomal Analysis of Human ES and iPS Cells. Stem Cell Reviews and Reports. 7(2). 471–477. 35 indexed citations
18.
Gerstein, Aleeza C., et al.. (2010). Haploids adapt faster than diploids across a range of environments. Journal of Evolutionary Biology. 24(3). 531–540. 64 indexed citations
19.
Lefebvre, Louis, Lynn Mar, Aaron Bogutz, et al.. (2009). The interval between Ins2 and Ascl2 is dispensable for imprinting centre function in the murine Beckwith–Wiedemann region. Human Molecular Genetics. 18(22). 4255–4267. 13 indexed citations
20.
Sargent, Risa D., Mohammad A. Mandegar, & Sarah P. Otto. (2006). A MODEL OF THE EVOLUTION OF DICHOGAMY INCORPORATING SEX‐RATIO SELECTION, ANTHER‐STIGMA INTERFERENCE, AND INBREEDING DEPRESSION. Evolution. 60(5). 934–944. 29 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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