Christopher M. Uyehara

411 total citations
8 papers, 221 citations indexed

About

Christopher M. Uyehara is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Christopher M. Uyehara has authored 8 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Christopher M. Uyehara's work include Genomics and Chromatin Dynamics (6 papers), RNA modifications and cancer (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). Christopher M. Uyehara is often cited by papers focused on Genomics and Chromatin Dynamics (6 papers), RNA modifications and cancer (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). Christopher M. Uyehara collaborates with scholars based in United States, Italy and China. Christopher M. Uyehara's co-authors include Daniel J. McKay, Mary Leatham‐Jensen, Laura Buttitta, Yiqin Ma, Matthew J. Niederhuber, A. Gregory Matera, Brian D. Strahl, Robert J. Duronio, Marc Presler and Diane C. Shakes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and Development.

In The Last Decade

Christopher M. Uyehara

8 papers receiving 220 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher M. Uyehara United States 6 128 91 65 49 35 8 221
Tom Riley Australia 3 199 1.6× 63 0.7× 56 0.9× 28 0.6× 44 1.3× 4 308
Yazmin L. Serrano Negron United States 7 114 0.9× 97 1.1× 74 1.1× 32 0.7× 21 0.6× 10 267
Sebastian Kittelmann United Kingdom 7 193 1.5× 68 0.7× 73 1.1× 46 0.9× 17 0.5× 9 267
Einat Cinnamon Israel 7 178 1.4× 102 1.1× 81 1.2× 30 0.6× 49 1.4× 8 309
Cale Whitworth United States 8 105 0.8× 92 1.0× 160 2.5× 75 1.5× 40 1.1× 8 264
Justin Thackeray United States 8 163 1.3× 111 1.2× 72 1.1× 59 1.2× 20 0.6× 12 300
Nikolaus Koniszewski Germany 5 118 0.9× 65 0.7× 36 0.6× 32 0.7× 9 0.3× 6 170
Yike Ding United States 6 178 1.4× 117 1.3× 89 1.4× 53 1.1× 23 0.7× 8 336
Petra Stöbe Germany 5 74 0.6× 37 0.4× 76 1.2× 31 0.6× 16 0.5× 7 176
Julianna Bozler United States 12 141 1.1× 132 1.5× 85 1.3× 74 1.5× 75 2.1× 12 338

Countries citing papers authored by Christopher M. Uyehara

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Uyehara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher M. Uyehara

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

All Works

8 of 8 papers shown
1.
Ee, Ly-Sha, Christopher M. Uyehara, Eralda Salataj, et al.. (2025). Enhancer remodeling by OTX2 directs specification and patterning of mammalian definitive endoderm. Developmental Cell. 60(24). 3431–3445.e8. 2 indexed citations
2.
Fogarty, Elizabeth A., et al.. (2023). A tissue dissociation method for ATAC-seq and CUT&RUN in Drosophila pupal tissues. Fly. 17(1). 2209481–2209481. 2 indexed citations
3.
Salataj, Eralda, Dafne Campigli Di Giammartino, Javier Rodriguez-Hernaez, et al.. (2023). 3D Enhancer–promoter networks provide predictive features for gene expression and coregulation in early embryonic lineages. Nature Structural & Molecular Biology. 31(1). 125–140. 20 indexed citations
4.
Uyehara, Christopher M., Mary Leatham‐Jensen, & Daniel J. McKay. (2022). Opportunistic binding of EcR to open chromatin drives tissue-specific developmental responses. Proceedings of the National Academy of Sciences. 119(40). e2208935119–e2208935119. 17 indexed citations
6.
Uyehara, Christopher M. & Daniel J. McKay. (2019). Direct and widespread role for the nuclear receptor EcR in mediating the response to ecdysone in Drosophila. Proceedings of the National Academy of Sciences. 116(20). 9893–9902. 64 indexed citations
7.
Leatham‐Jensen, Mary, Christopher M. Uyehara, Brian D. Strahl, et al.. (2019). Lysine 27 of replication-independent histone H3.3 is required for Polycomb target gene silencing but not for gene activation. PLoS Genetics. 15(1). e1007932–e1007932. 31 indexed citations
8.
Uyehara, Christopher M., Matthew J. Niederhuber, Mary Leatham‐Jensen, et al.. (2017). Hormone-dependent control of developmental timing through regulation of chromatin accessibility. Genes & Development. 31(9). 862–875. 77 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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