Christopher A. Fasano

6.3k total citations · 2 hit papers
9 papers, 4.1k citations indexed

About

Christopher A. Fasano is a scholar working on Molecular Biology, Developmental Neuroscience and Biomedical Engineering. According to data from OpenAlex, Christopher A. Fasano has authored 9 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Developmental Neuroscience and 3 papers in Biomedical Engineering. Recurrent topics in Christopher A. Fasano's work include Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (3 papers) and 3D Printing in Biomedical Research (3 papers). Christopher A. Fasano is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (3 papers) and 3D Printing in Biomedical Research (3 papers). Christopher A. Fasano collaborates with scholars based in United States, Iran and Canada. Christopher A. Fasano's co-authors include Lorenz Studer, Eirini P. Papapetrou, Mark Tomishima, Stuart M. Chambers, Michel Sadelain, Sally Temple, Ihor R. Lemischka, Timothy N. Phoenix, John T. Dimos and Agnès Viale and has published in prestigious journals such as Nature, Neuron and Genes & Development.

In The Last Decade

Christopher A. Fasano

9 papers receiving 4.0k citations

Hit Papers

Highly efficient neural c... 2009 2026 2014 2020 2009 2009 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher A. Fasano United States 7 3.4k 1.1k 1.0k 746 369 9 4.1k
Yosif Ganat United States 17 3.3k 1.0× 1.6k 1.5× 1.0k 1.0× 565 0.8× 301 0.8× 19 4.4k
Su-Chun Zhang United States 25 2.8k 0.8× 1.3k 1.2× 1.2k 1.2× 419 0.6× 392 1.1× 31 3.9k
Thomas Vierbuchen United States 14 4.5k 1.3× 1.1k 0.9× 978 1.0× 473 0.6× 571 1.5× 20 5.1k
Ayaka Nishiyama Japan 10 3.8k 1.1× 845 0.8× 886 0.9× 1.4k 1.9× 287 0.8× 12 4.6k
Georgia Panagiotakos United States 21 2.6k 0.8× 806 0.7× 770 0.8× 688 0.9× 293 0.8× 25 3.6k
Austin Ostermeier United States 5 3.0k 0.9× 742 0.7× 625 0.6× 384 0.5× 294 0.8× 5 3.4k
Oliver Brüstle Germany 34 3.1k 0.9× 1.4k 1.3× 1.7k 1.7× 451 0.6× 435 1.2× 77 4.8k
Keiko Muguruma Japan 22 5.2k 1.5× 1.5k 1.3× 1.1k 1.1× 1.8k 2.4× 418 1.1× 55 6.5k
Stuart M. Chambers United States 24 5.0k 1.5× 1.2k 1.1× 859 0.9× 894 1.2× 532 1.4× 29 6.8k
Baoyang Hu China 26 2.4k 0.7× 768 0.7× 734 0.7× 396 0.5× 230 0.6× 73 3.4k

Countries citing papers authored by Christopher A. Fasano

Since Specialization
Citations

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

Fields of papers citing papers by Christopher A. Fasano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher A. Fasano

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

All Works

9 of 9 papers shown
1.
Moore, Laura J., et al.. (2016). Developing a Culture of Undergraduate Research with Incoming Students. 36(4). 2 indexed citations
2.
Leemput, Joyce van de, Nathan C. Boles, Thomas R. Kiehl, et al.. (2014). CORTECON: A Temporal Transcriptome Analysis of In Vitro Human Cerebral Cortex Development from Human Embryonic Stem Cells. Neuron. 83(1). 51–68. 146 indexed citations
3.
Lotz, Steven, Susan K. Goderie, Sarah E. Hirsch, et al.. (2013). Sustained Levels of FGF2 Maintain Undifferentiated Stem Cell Cultures with Biweekly Feeding. PLoS ONE. 8(2). e56289–e56289. 86 indexed citations
4.
Hall, Zach W., David J. Kahler, Dieter Egli, et al.. (2010). Breaking ground on translational stem cell research. Annals of the New York Academy of Sciences. 1189(s1). E1–15. 4 indexed citations
5.
Fasano, Christopher A., Timothy N. Phoenix, Erzsebet Kokovay, et al.. (2009). Bmi-1 cooperates with Foxg1 to maintain neural stem cell self-renewal in the forebrain. Genes & Development. 23(5). 561–574. 128 indexed citations
6.
Chambers, Stuart M., Christopher A. Fasano, Eirini P. Papapetrou, et al.. (2009). Highly efficient neural conversion of human ES and iPS cells by dual inhibition of SMAD signaling. Nature Biotechnology. 27(3). 275–280. 2597 indexed citations breakdown →
7.
Lee, Gabsang, Eirini P. Papapetrou, Hyesoo Kim, et al.. (2009). Modelling pathogenesis and treatment of familial dysautonomia using patient-specific iPSCs. Nature. 461(7262). 402–406. 649 indexed citations breakdown →
8.
Ashton, Randolph S., Joseph Peltier, Christopher A. Fasano, et al.. (2007). High-Throughput Screening of Gene Function in Stem Cells Using Clonal Microarrays. Stem Cells. 25(11). 2928–2935. 17 indexed citations
9.
Shen, Qin, Yue Wang, John T. Dimos, et al.. (2006). The timing of cortical neurogenesis is encoded within lineages of individual progenitor cells. Nature Neuroscience. 9(6). 743–751. 463 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026