John R. Sinnamon

759 total citations
10 papers, 460 citations indexed

About

John R. Sinnamon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, John R. Sinnamon has authored 10 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Neurology. Recurrent topics in John R. Sinnamon's work include RNA Research and Splicing (7 papers), RNA regulation and disease (4 papers) and RNA modifications and cancer (3 papers). John R. Sinnamon is often cited by papers focused on RNA Research and Splicing (7 papers), RNA regulation and disease (4 papers) and RNA modifications and cancer (3 papers). John R. Sinnamon collaborates with scholars based in United States and Sweden. John R. Sinnamon's co-authors include Kevin Czaplinski, Gail Mandel, Hiroyuki Nakai, Susan Y. Kim, Frank J. Steemers, Ryan M. Mulqueen, Andrew C. Adey, Kristof Törkenczy, Cole Trapnell and Steven Norberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Genome Research.

In The Last Decade

John R. Sinnamon

10 papers receiving 454 citations

Peers

John R. Sinnamon

MB

GENET

CR

IMMUN

CCM

Xiaoge Guo United States

Bryan J. Pavlovic United States

Janine Scholefield South Africa

Michelle C. Ward United States

Hao Chang United States

António J. Santinha Switzerland

Claudia Chavarria United States

Diego Garrido-Martín Spain

Benjamin Ober‐Reynolds United States

Emily Fabyanic United States

Xiaoge Guo United States

John R. Sinnamon

550 ×1.3

MB

98 ×1.3

GENET

38 ×0.5

CR

20 ×0.7

IMMUN

15 ×0.6

CCM

Citations per year, relative to John R. Sinnamon John R. Sinnamon (= 1×) peers Xiaoge Guo

Countries citing papers authored by John R. Sinnamon

Since Specialization

Citations

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

Fields of papers citing papers by John R. Sinnamon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John R. Sinnamon

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

All Works

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10 of 10 papers shown

1.

Sinnamon, John R., M. E. Jacobson, Sophia Jeng, et al.. (2022). Targeted RNA editing in brainstem alleviates respiratory dysfunction in a mouse model of Rett syndrome. Proceedings of the National Academy of Sciences. 119(33). e2206053119–e2206053119. 25 indexed citations

2.

Sinnamon, John R., Susan Y. Kim, Hiroyuki Nakai, et al.. (2020). In Vivo Repair of a Protein Underlying a Neurological Disorder by Programmable RNA Editing. Cell Reports. 32(2). 107878–107878. 49 indexed citations

3.

Sinnamon, John R., Kristof Törkenczy, Michael W. Linhoff, et al.. (2019). The accessible chromatin landscape of the murine hippocampus at single-cell resolution. Genome Research. 29(5). 857–869. 42 indexed citations

4.

Mulqueen, Ryan M., Dmitry Pokholok, Steven Norberg, et al.. (2018). Highly scalable generation of DNA methylation profiles in single cells. Nature Biotechnology. 36(5). 428–431. 167 indexed citations

5.

Sinnamon, John R., Susan Y. Kim, Glen M. Corson, et al.. (2017). Site-directed RNA repair of endogenous Mecp2 RNA in neurons. Proceedings of the National Academy of Sciences. 114(44). E9395–E9402. 80 indexed citations

6.

Sinnamon, John R. & Kevin Czaplinski. (2014). Locating RNAs In Situ with FISH-STIC Probes. Methods in molecular biology. 1206. 137–148. 2 indexed citations

7.

Sinnamon, John R. & Kevin Czaplinski. (2013). RNA detection in situ with FISH-STICs. RNA. 20(2). 260–266. 25 indexed citations

8.

Fukuda, Nanaho, Tomoyuki Fukuda, John R. Sinnamon, et al.. (2013). The Transacting Factor CBF-A/Hnrnpab Binds to the A2RE/RTS Element of Protamine 2 mRNA and Contributes to Its Translational Regulation during Mouse Spermatogenesis. PLoS Genetics. 9(10). e1003858–e1003858. 33 indexed citations

9.

Sinnamon, John R., et al.. (2012). Hnrpab regulates neural development and neuron cell survival after glutamate stimulation. RNA. 18(4). 704–719. 22 indexed citations

10.

Sinnamon, John R. & Kevin Czaplinski. (2011). mRNA trafficking and local translation: the Yin and Yang of regulating mRNA localization in neurons. Acta Biochimica et Biophysica Sinica. 43(9). 663–670. 15 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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