John K. Mich

1.7k total citations
9 papers, 445 citations indexed

About

John K. Mich is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, John K. Mich has authored 9 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in John K. Mich's work include Epigenetics and DNA Methylation (6 papers), Hedgehog Signaling Pathway Studies (5 papers) and Developmental Biology and Gene Regulation (4 papers). John K. Mich is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Hedgehog Signaling Pathway Studies (5 papers) and Developmental Biology and Gene Regulation (4 papers). John K. Mich collaborates with scholars based in United States, Germany and Italy. John K. Mich's co-authors include James Chen, Robert Signer, Boaz P. Levi, Daisuke Nakada, Jane E. Johnson, Rebecca J. Burgess, Tou Yia Vue, Sean J. Morrison, Zizhen Yao and Angelique M. Nelson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Development.

In The Last Decade

John K. Mich

9 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John K. Mich United States	8	341	149	72	70	54	9	445
Shin Ichi Nishikawa Japan	3	322 0.9×	152 1.0×	48 0.7×	66 0.9×	108 2.0×	5	463
Rubing Xing United States	7	255 0.7×	111 0.7×	124 1.7×	71 1.0×	54 1.0×	9	425
Yuan Hong Yu Singapore	12	331 1.0×	104 0.7×	86 1.2×	131 1.9×	60 1.1×	24	497
Jin-Sook Moon South Korea	4	336 1.0×	114 0.8×	109 1.5×	65 0.9×	45 0.8×	8	426
Elena Parmigiani Italy	11	256 0.8×	117 0.8×	36 0.5×	89 1.3×	72 1.3×	17	399
Cristina Ottone United Kingdom	7	243 0.7×	136 0.9×	56 0.8×	62 0.9×	96 1.8×	7	381
Jonathan T. Fleming United States	10	351 1.0×	153 1.0×	47 0.7×	47 0.7×	78 1.4×	12	483
Jenne Relucio United States	5	221 0.6×	178 1.2×	80 1.1×	52 0.7×	114 2.1×	6	399
Milesa Simic Germany	5	293 0.9×	176 1.2×	48 0.7×	35 0.5×	108 2.0×	5	442
Anjana Nityanandam United States	9	323 0.9×	135 0.9×	65 0.9×	49 0.7×	127 2.4×	12	502

Countries citing papers authored by John K. Mich

Since Specialization

Citations

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

Fields of papers citing papers by John K. Mich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John K. Mich. 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 John K. Mich. The network helps show where John K. Mich may publish in the future.

Co-authorship network of co-authors of John K. Mich

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

All Works

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9 of 9 papers shown

Mich, John K., Aguan Wei, Bryan B. Gore, et al.. (2025). Interneuron-specific dual-AAV SCN1A gene replacement corrects epileptic phenotypes in mouse models of Dravet syndrome. Science Translational Medicine. 17(790). eadn5603–eadn5603. 4 indexed citations

Thomsen, Elliot R., John K. Mich, Zizhen Yao, et al.. (2015). Fixed single-cell transcriptomic characterization of human radial glial diversity. Nature Methods. 13(1). 87–93. 159 indexed citations

Mich, John K., Alexander Y. Payumo, Philip D. Rack, & James Chen. (2014). In Vivo Imaging of Hedgehog Pathway Activation with a Nuclear Fluorescent Reporter. PLoS ONE. 9(7). e103661–e103661. 14 indexed citations

Mich, John K., Robert Signer, Daisuke Nakada, et al.. (2014). Prospective identification of functionally distinct stem cells and neurosphere-initiating cells in adult mouse forebrain. eLife. 3. e02669–e02669. 116 indexed citations

Rack, Philip D., Jun Ni, Alexander Y. Payumo, et al.. (2014). Arhgap36-dependent activation of Gli transcription factors. Proceedings of the National Academy of Sciences. 111(30). 11061–11066. 34 indexed citations

Mich, John K. & James Chen. (2011). Hedgehog and retinoic acid signaling cooperate to promote motoneurogenesis in zebrafish. Development. 138(23). 5113–5119. 12 indexed citations

England, Samantha J., et al.. (2011). Roles of Hedgehog pathway components and retinoic acid signalling in specifying zebrafish ventral spinal cord neurons. Development. 138(23). 5121–5134. 32 indexed citations

Mich, John K., Heiko Blaser, Ari J. Firestone, et al.. (2009). Germ cell migration in zebrafish is cyclopamine-sensitive but Smoothened-independent. Developmental Biology. 328(2). 342–354. 17 indexed citations

Mich, John K., et al.. (2007). Small-molecule regulation of zebrafish gene expression. Nature Chemical Biology. 3(3). 154–155. 57 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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