Samira Musah

2.0k total citations · 2 hit papers
28 papers, 1.5k citations indexed

About

Samira Musah is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Samira Musah has authored 28 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Biomedical Engineering and 6 papers in Surgery. Recurrent topics in Samira Musah's work include Pluripotent Stem Cells Research (15 papers), Renal and related cancers (13 papers) and 3D Printing in Biomedical Research (12 papers). Samira Musah is often cited by papers focused on Pluripotent Stem Cells Research (15 papers), Renal and related cancers (13 papers) and 3D Printing in Biomedical Research (12 papers). Samira Musah collaborates with scholars based in United States, France and Bulgaria. Samira Musah's co-authors include Donald E. Ingber, Laura L. Kiessling, George M. Church, Paul J. Wrighton, Nikolaos Dimitrakakis, Akiko Mammoto, Thomas C. Ferrante, James C. Weaver, Sandeep T. Koshy and Diogo M. Camacho and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and SHILAP Revista de lepidopterología.

In The Last Decade

Samira Musah

25 papers receiving 1.5k citations

Hit Papers

Engineered In Vitro Disease Models 2015 2026 2018 2022 2015 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samira Musah United States 13 943 672 306 219 150 28 1.5k
Bojun Li China 15 811 0.9× 410 0.6× 274 0.9× 732 3.3× 122 0.8× 67 1.9k
Sarah B. Peters United States 11 340 0.4× 375 0.6× 322 1.1× 244 1.1× 143 1.0× 22 1.2k
Kacey Ronaldson-Bouchard United States 9 1.6k 1.7× 919 1.4× 684 2.2× 124 0.6× 223 1.5× 14 2.4k
Elena Serena Italy 19 626 0.7× 497 0.7× 314 1.0× 94 0.4× 27 0.2× 25 1.0k
Amanda Jiang United States 18 505 0.5× 385 0.6× 148 0.5× 118 0.5× 192 1.3× 24 1.2k
Cécile M. Perrault United Kingdom 17 529 0.6× 279 0.4× 189 0.6× 215 1.0× 117 0.8× 41 1.1k
Jhon Cores United States 20 529 0.6× 1.4k 2.1× 596 1.9× 92 0.4× 121 0.8× 27 2.4k
Pei Xuan Er Australia 11 1.0k 1.1× 2.3k 3.4× 604 2.0× 88 0.4× 415 2.8× 13 2.9k
Bryan Hassell United States 6 1.2k 1.2× 295 0.4× 155 0.5× 137 0.6× 496 3.3× 9 1.6k

Countries citing papers authored by Samira Musah

Since Specialization
Citations

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

Fields of papers citing papers by Samira Musah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samira Musah

This figure shows the co-authorship network connecting the top 25 collaborators of Samira Musah. A scholar is included among the top collaborators of Samira Musah 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 Samira Musah. Samira Musah 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
2.
Musah, Samira. (2025). Decoding cell fate: human models reveal how SMAD2 variants shape development. Nature Reviews Genetics. 26(9). 586–586. 1 indexed citations
3.
Zhang, Yize, et al.. (2024). Epigenetics of Hypertensive Nephropathy. Biomedicines. 12(11). 2622–2622. 6 indexed citations
4.
Musah, Samira & Hamidreza Arzaghi. (2024). Unleashing the power of biomaterials to enhance organoid differentiation and function. Nature Methods. 21(9). 1575–1577. 3 indexed citations
5.
Musah, Samira, et al.. (2024). Fenestrated Endothelial Cells across Organs: Insights into Kidney Function and Disease. International Journal of Molecular Sciences. 25(16). 9107–9107. 3 indexed citations
6.
Musah, Samira, et al.. (2024). An ultrathin membrane mediates tissue-specific morphogenesis and barrier function in a human kidney chip. Science Advances. 10(23). eadn2689–eadn2689. 25 indexed citations
7.
Musah, Samira, et al.. (2024). A human stem cell-derived model reveals pathologic extracellular matrix remodeling in diabetic podocyte injury. SHILAP Revista de lepidopterología. 24. 100164–100164.
8.
Zhang, Yize & Samira Musah. (2024). Mechanosensitive Differentiation of Human iPS Cell-Derived Podocytes. Bioengineering. 11(10). 1038–1038.
9.
Gudapati, Hemanth, et al.. (2022). Microfluidic systems for modeling human development. Development. 149(3). 14 indexed citations
10.
Bhattacharya, Rohan, et al.. (2022). A Biomimetic Electrospun Membrane Supports the Differentiation and Maturation of Kidney Epithelium from Human Stem Cells. Bioengineering. 9(5). 188–188. 12 indexed citations
11.
Musah, Samira, et al.. (2022). Isogenic Kidney Glomerulus Chip Engineered from Human Induced Pluripotent Stem Cells. Journal of Visualized Experiments. 7 indexed citations
12.
Bhattacharya, Rohan, et al.. (2022). SARS-CoV-2 Employ BSG/CD147 and ACE2 Receptors to Directly Infect Human Induced Pluripotent Stem Cell-Derived Kidney Podocytes. Frontiers in Cell and Developmental Biology. 10. 855340–855340. 28 indexed citations
13.
Bhattacharya, Rohan, et al.. (2021). A Personalized Glomerulus Chip Engineered from Stem Cell-Derived Epithelium and Vascular Endothelium. Micromachines. 12(8). 967–967. 45 indexed citations
14.
Musah, Samira. (2021). Uncovering SARS-CoV-2 kidney tropism. Nature Reviews Molecular Cell Biology. 22(8). 509–509. 4 indexed citations
15.
Burt, Morgan A., et al.. (2020). Guided Differentiation of Mature Kidney Podocytes from Human Induced Pluripotent Stem Cells Under Chemically Defined Conditions. Journal of Visualized Experiments. 7 indexed citations
16.
Musah, Samira, Nikolaos Dimitrakakis, Diogo M. Camacho, George M. Church, & Donald E. Ingber. (2018). Directed differentiation of human induced pluripotent stem cells into mature kidney podocytes and establishment of a Glomerulus Chip. Nature Protocols. 13(7). 1662–1685. 125 indexed citations
17.
Musah, Samira, Akiko Mammoto, Thomas C. Ferrante, et al.. (2017). Mature induced-pluripotent-stem-cell-derived human podocytes reconstitute kidney glomerular-capillary-wall function on a chip. Nature Biomedical Engineering. 1(5). 379 indexed citations breakdown →
18.
Musah, Samira, Paul J. Wrighton, Yefim Zaltsman, et al.. (2014). Substratum-induced differentiation of human pluripotent stem cells reveals the coactivator YAP is a potent regulator of neuronal specification. Proceedings of the National Academy of Sciences. 111(38). 13805–13810. 145 indexed citations
19.
Musah, Samira, Stephen A. Morin, Paul J. Wrighton, et al.. (2012). Glycosaminoglycan-Binding Hydrogels Enable Mechanical Control of Human Pluripotent Stem Cell Self-Renewal. ACS Nano. 6(11). 10168–10177. 134 indexed citations
20.
Derda, Ratmir, Samira Musah, Brendan P. Orner, et al.. (2010). High-Throughput Discovery of Synthetic Surfaces That Support Proliferation of Pluripotent Cells. Journal of the American Chemical Society. 132(4). 1289–1295. 104 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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