Yvonne Mica

1.6k total citations
7 papers, 1.2k citations indexed

About

Yvonne Mica is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Yvonne Mica has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 1 paper in Surgery. Recurrent topics in Yvonne Mica's work include Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (3 papers) and Neuroscience and Neural Engineering (2 papers). Yvonne Mica is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (3 papers) and Neuroscience and Neural Engineering (2 papers). Yvonne Mica collaborates with scholars based in United States, United Kingdom and Switzerland. Yvonne Mica's co-authors include Lorenz Studer, Stuart M. Chambers, Gabsang Lee, Mark Tomishima, Edward B. Stevens, Xin‐Jun Zhang, Lei Niu, James Bilsland, Lishuang Cao and Paul J. Whiting and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Biotechnology.

In The Last Decade

Yvonne Mica

7 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yvonne Mica United States	7	817	241	233	142	139	7	1.2k
Kee-Pyo Kim Germany	20	1.0k 1.3×	171 0.7×	148 0.6×	121 0.9×	69 0.5×	35	1.3k
Soojung Shin United States	19	1.3k 1.5×	193 0.8×	213 0.9×	289 2.0×	153 1.1×	40	1.6k
Sarah Kishinevsky United States	6	745 0.9×	300 1.2×	167 0.7×	136 1.0×	141 1.0×	7	1.1k
Maria Sundberg United States	16	797 1.0×	375 1.6×	105 0.5×	106 0.7×	159 1.1×	29	1.1k
Jian Ge China	6	1.4k 1.8×	142 0.6×	274 1.2×	288 2.0×	138 1.0×	9	1.6k
Blake Byers United States	7	1000 1.2×	408 1.7×	157 0.7×	174 1.2×	150 1.1×	7	1.3k
Sandy Becker United States	16	1.2k 1.4×	96 0.4×	181 0.8×	111 0.8×	168 1.2×	21	1.3k
Alexandra Blak United States	8	1.4k 1.7×	425 1.8×	150 0.6×	189 1.3×	222 1.6×	8	1.6k
Ben Waldau United States	14	478 0.6×	248 1.0×	112 0.5×	194 1.4×	71 0.5×	55	1.1k
Guilai Shi China	12	720 0.9×	98 0.4×	208 0.9×	97 0.7×	75 0.5×	15	902

Countries citing papers authored by Yvonne Mica

Since Specialization

Citations

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

Fields of papers citing papers by Yvonne Mica

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yvonne Mica

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

All Works

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7 of 7 papers shown

1.

Fattahi, Faranak, Julius A. Steinbeck, Sonja Kriks, et al.. (2016). Deriving human ENS lineages for cell therapy and drug discovery in Hirschsprung disease. Nature. 531(7592). 105–109. 218 indexed citations

2.

Mica, Yvonne, et al.. (2016). Feeder-free Derivation of Melanocytes from Human Pluripotent Stem Cells. Journal of Visualized Experiments. e53806–e53806. 7 indexed citations

3.

Chambers, Stuart M., Yvonne Mica, Gabsang Lee, Lorenz Studer, & Mark Tomishima. (2013). Dual-SMAD Inhibition/WNT Activation-Based Methods to Induce Neural Crest and Derivatives from Human Pluripotent Stem Cells. Methods in molecular biology. 1307. 329–343. 62 indexed citations

4.

Mica, Yvonne, Gabsang Lee, Stuart M. Chambers, Mark Tomishima, & Lorenz Studer. (2013). Modeling Neural Crest Induction, Melanocyte Specification, and Disease-Related Pigmentation Defects in hESCs and Patient-Specific iPSCs. Cell Reports. 3(4). 1140–1152. 189 indexed citations

5.

Chambers, Stuart M., Yvonne Mica, Gabsang Lee, et al.. (2012). Combined small-molecule inhibition accelerates developmental timing and converts human pluripotent stem cells into nociceptors. Nature Biotechnology. 30(7). 715–720. 433 indexed citations

6.

Chambers, Stuart M., Yvonne Mica, Lorenz Studer, & Mark Tomishima. (2011). Converting Human Pluripotent Stem Cells to Neural Tissue and Neurons to Model Neurodegeneration. Methods in molecular biology. 793. 87–97. 29 indexed citations

7.

Papapetrou, Eirini P., Mark Tomishima, Stuart M. Chambers, et al.. (2009). Stoichiometric and temporal requirements of Oct4, Sox2, Klf4, and c-Myc expression for efficient human iPSC induction and differentiation. Proceedings of the National Academy of Sciences. 106(31). 12759–12764. 221 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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