Dan Ohtan Wang

1.2k total citations
23 papers, 855 citations indexed

About

Dan Ohtan Wang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Dan Ohtan Wang has authored 23 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Dan Ohtan Wang's work include RNA modifications and cancer (11 papers), RNA and protein synthesis mechanisms (7 papers) and RNA Research and Splicing (7 papers). Dan Ohtan Wang is often cited by papers focused on RNA modifications and cancer (11 papers), RNA and protein synthesis mechanisms (7 papers) and RNA Research and Splicing (7 papers). Dan Ohtan Wang collaborates with scholars based in Japan, China and United States. Dan Ohtan Wang's co-authors include Kelsey C. Martin, R. Suzanne Zukin, Wei Xiao, Hua Li, Wanxu Huang, Hongik Hwang, Yali Zhao, Wayne S. Sossin, Daria Merkurjev and Belinda J. Goldie and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Dan Ohtan Wang

20 papers receiving 851 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Ohtan Wang Japan 11 716 213 138 74 50 23 855
António Miguel de Jesus Domingues Germany 16 712 1.0× 87 0.4× 144 1.0× 83 1.1× 50 1.0× 22 913
Karin Alegría Chile 12 461 0.6× 109 0.5× 238 1.7× 33 0.4× 40 0.8× 12 696
Guangming Gan China 13 518 0.7× 305 1.4× 166 1.2× 48 0.6× 79 1.6× 28 829
João D. Pereira United States 11 500 0.7× 92 0.4× 68 0.5× 134 1.8× 15 0.3× 15 637
Ai-Ling Li China 8 271 0.4× 102 0.5× 50 0.4× 42 0.6× 51 1.0× 12 438
Yasna Contreras‐Baeza Chile 8 305 0.4× 94 0.4× 141 1.0× 27 0.4× 33 0.7× 8 459
Pamela Y. Sandoval Chile 13 444 0.6× 92 0.4× 96 0.7× 25 0.3× 28 0.6× 18 617
Maria C. Moschella United States 10 1.1k 1.6× 189 0.9× 257 1.9× 86 1.2× 89 1.8× 11 1.4k
Michael Pokrass United States 6 729 1.0× 219 1.0× 70 0.5× 37 0.5× 61 1.2× 10 822
Jenny Yan United States 15 624 0.9× 86 0.4× 160 1.2× 88 1.2× 26 0.5× 21 859

Countries citing papers authored by Dan Ohtan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dan Ohtan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Ohtan Wang. 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 Dan Ohtan Wang. The network helps show where Dan Ohtan Wang may publish in the future.

Co-authorship network of co-authors of Dan Ohtan Wang

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

All Works

20 of 20 papers shown
1.
Wang, Ziqi, Zhiyuan Liu, Sijia Feng, et al.. (2025). High glucose induces hippocampal neuron impairment through the SKP1/COX7C pathway: A potential mechanism for perimenopausal depression. Acta Pharmaceutica Sinica B. 15(11). 5832–5853.
2.
Chen, Ruixi, Qiongyi Zhao, Yanze Li, et al.. (2024). starTracer is an accelerated approach for precise marker gene identification in single-cell RNA-Seq analysis. Communications Biology. 7(1). 1128–1128. 2 indexed citations
3.
Asamitsu, Sefan, Yasushi Yabuki, Kazuya Matsuo, et al.. (2023). RNA G-quadruplex organizes stress granule assembly through DNAPTP6 in neurons. Science Advances. 9(8). eade2035–eade2035. 28 indexed citations
4.
Yu, Peng, Yan Gao, Yu Liang, et al.. (2022). Dynamic Landscapes of tRNA Transcriptomes and Translatomes in Diverse Mouse Tissues. Genomics Proteomics & Bioinformatics. 21(4). 834–849. 7 indexed citations
5.
Li, Weiwei, Ting Cheng, Tingting Jiang, et al.. (2022). Hepatic RNA adduction derived from metabolic activation of retrorsine in vitro and in vivo. Chemico-Biological Interactions. 365. 110047–110047. 4 indexed citations
6.
Sun, Xiang, Dan Ohtan Wang, & Jinkai Wang. (2022). Targeted manipulation of m6A RNA modification through CRISPR-Cas-based strategies. Methods. 203. 56–61. 18 indexed citations
7.
Zhou, Mengyue, Dan Ohtan Wang, Weiwei Li, & Jiang Zheng. (2021). RNA adduction derived from electrophilic species in vitro and in vivo. Chemico-Biological Interactions. 351. 109748–109748. 6 indexed citations
8.
Wang, Dan Ohtan. (2021). Epitranscriptomic regulation of cognitive development and decline. Seminars in Cell and Developmental Biology. 129. 3–13.
9.
Cheng, Weisheng, Fang Liu, Dan Ohtan Wang, et al.. (2021). Positive natural selection of N6-methyladenosine on the RNAs of processed pseudogenes. Genome biology. 22(1). 180–180. 12 indexed citations
10.
Kashida, Shunnichi, Dan Ohtan Wang, Hirohide Saito, & Zoher Gueroui. (2019). Nanoparticle-based local translation reveals mRNA as a translation-coupled scaffold with anchoring function. Proceedings of the National Academy of Sciences. 116(27). 13346–13351. 4 indexed citations
11.
Wang, Dan Ohtan. (2019). Mapping m6A and m1A with mutation signatures. Nature Methods. 16(12). 1213–1214. 4 indexed citations
12.
Merkurjev, Daria, Kei Iida, Belinda J. Goldie, et al.. (2018). Synaptic N6-methyladenosine (m6A) epitranscriptome reveals functional partitioning of localized transcripts. Nature Neuroscience. 21(7). 1004–1014. 170 indexed citations
13.
Niwa, Masato, et al.. (2018). Fe(II) Ion Release during Endocytotic Uptake of Iron Visualized by a Membrane-Anchoring Fe(II) Fluorescent Probe. ACS Chemical Biology. 13(7). 1853–1861. 54 indexed citations
14.
Wang, Dan Ohtan. (2017). Live Imaging of Nuclear RNPs in Mammalian Complex Tissue with ECHO-liveFISH. Methods in molecular biology. 1649. 259–272.
15.
Hayashi, Gosuke, et al.. (2015). Hybridization-Sensitive Fluorescent Oligonucleotide Probe Conjugated with a Bulky Module for Compartment-Specific mRNA Monitoring in a Living Cell. Bioconjugate Chemistry. 26(3). 412–417. 10 indexed citations
16.
Wang, Dan Ohtan & Akimitsu Okamoto. (2014). Visualization of Nucleic Acids with Synthetic Exciton-Controlled Fluorescent Oligonucleotide Probes. Methods in molecular biology. 1262. 69–87. 1 indexed citations
17.
Okamoto, Akimitsu, et al.. (2012). A nucleic acid probe labeled with desmethyl thiazole orange: a new type of hybridization-sensitive fluorescent oligonucleotide for live-cell RNA imaging. Organic & Biomolecular Chemistry. 11(2). 362–371. 8 indexed citations
18.
Wang, Dan Ohtan, Hitomi Matsuno, Shuji Ikeda, et al.. (2011). A quick and simple FISH protocol with hybridization-sensitive fluorescent linear oligodeoxynucleotide probes. RNA. 18(1). 166–175. 34 indexed citations
19.
Wang, Dan Ohtan, Kelsey C. Martin, & R. Suzanne Zukin. (2010). Spatially restricting gene expression by local translation at synapses. Trends in Neurosciences. 33(4). 173–182. 137 indexed citations
20.
Wang, Dan Ohtan, et al.. (2009). Synapse- and Stimulus-Specific Local Translation During Long-Term Neuronal Plasticity. Science. 324(5934). 1536–1540. 160 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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