Noboru J. Sakabe

3.5k total citations
27 papers, 1.3k citations indexed

About

Noboru J. Sakabe is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Noboru J. Sakabe has authored 27 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Immunology. Recurrent topics in Noboru J. Sakabe's work include RNA modifications and cancer (9 papers), RNA and protein synthesis mechanisms (8 papers) and Genomics and Chromatin Dynamics (8 papers). Noboru J. Sakabe is often cited by papers focused on RNA modifications and cancer (9 papers), RNA and protein synthesis mechanisms (8 papers) and Genomics and Chromatin Dynamics (8 papers). Noboru J. Sakabe collaborates with scholars based in United States, Belgium and Brazil. Noboru J. Sakabe's co-authors include Marcelo A. Nóbrega, Sandro de Souza, Sandro J. de Souza, Ivy Aneas, Pedro A. F. Galante, Daniel Savic, Sylvia Μ. Evans, Ju Chen, Débora R. Sobreira and Lindsey E. Montefiori and has published in prestigious journals such as Science, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Noboru J. Sakabe

27 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noboru J. Sakabe United States 18 1.0k 204 148 131 100 27 1.3k
Joseph A. Wamstad United States 10 1.1k 1.1× 223 1.1× 132 0.9× 80 0.6× 56 0.6× 10 1.3k
Dorota Szumska United Kingdom 15 612 0.6× 172 0.8× 64 0.4× 82 0.6× 36 0.4× 26 874
Nan Cher Yeo United States 9 843 0.8× 160 0.8× 190 1.3× 40 0.3× 39 0.4× 15 1.0k
Katherine Rhodes United States 15 549 0.5× 225 1.1× 148 1.0× 37 0.3× 64 0.6× 19 838
Massimo Zani Italy 17 731 0.7× 345 1.7× 182 1.2× 66 0.5× 154 1.5× 31 1.1k
Bénédicte Haenig Germany 10 832 0.8× 235 1.2× 90 0.6× 66 0.5× 67 0.7× 12 1.1k
Natalie K. Ryan Australia 14 720 0.7× 181 0.9× 149 1.0× 18 0.1× 145 1.4× 20 1.4k
Maija Garnaas United States 12 686 0.7× 151 0.7× 185 1.3× 25 0.2× 198 2.0× 17 960
Mujun Yu United States 12 469 0.5× 92 0.5× 158 1.1× 49 0.4× 75 0.8× 16 748
Minyi Shi United States 16 937 0.9× 293 1.4× 204 1.4× 57 0.4× 150 1.5× 24 1.4k

Countries citing papers authored by Noboru J. Sakabe

Since Specialization
Citations

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

Fields of papers citing papers by Noboru J. Sakabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noboru J. Sakabe. 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 Noboru J. Sakabe. The network helps show where Noboru J. Sakabe may publish in the future.

Co-authorship network of co-authors of Noboru J. Sakabe

This figure shows the co-authorship network connecting the top 25 collaborators of Noboru J. Sakabe. A scholar is included among the top collaborators of Noboru J. Sakabe 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 Noboru J. Sakabe. Noboru J. Sakabe 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.
Zhong, Xiaoyuan, Robert D. Mitchell, Christine Billstrand, et al.. (2025). Integration of functional genomics and statistical fine-mapping systematically characterizes adult-onset and childhood-onset asthma genetic associations. Genome Medicine. 17(1). 35–35. 2 indexed citations
2.
Zhu, Jiayu, Débora R. Sobreira, David Wu, et al.. (2024). Mechanosensitive super-enhancers regulate genes linked to atherosclerosis in endothelial cells. The Journal of Cell Biology. 223(3). 8 indexed citations
3.
Liu, Xiao, Ivy Aneas, Noboru J. Sakabe, et al.. (2023). Single cell profiling at the maternal–fetal interface reveals a deficiency of PD-L1+ non-immune cells in human spontaneous preterm labor. Scientific Reports. 13(1). 7903–7903. 6 indexed citations
4.
Hansen, Grace, Débora R. Sobreira, Zachary Weber, et al.. (2023). Genetics of sexually dimorphic adipose distribution in humans. Nature Genetics. 55(3). 461–470. 19 indexed citations
5.
Sobreira, Débora R., David Witonsky, Noboru J. Sakabe, et al.. (2022). A pleiotropic hypoxia-sensitive EPAS1 enhancer is disrupted by adaptive alleles in Tibetans. Science Advances. 8(47). eade1942–eade1942. 16 indexed citations
6.
Sobreira, Débora R., Amelia C. Joslin, Qi Zhang, et al.. (2021). Extensive pleiotropism and allelic heterogeneity mediate metabolic effects of IRX3 and IRX5. Science. 372(6546). 1085–1091. 62 indexed citations
7.
Joslin, Amelia C., Débora R. Sobreira, Grace Hansen, et al.. (2021). A functional genomics pipeline identifies pleiotropy and cross-tissue effects within obesity-associated GWAS loci. Nature Communications. 12(1). 5253–5253. 25 indexed citations
8.
Bai, Tao, Chian‐Yu Peng, Ivy Aneas, et al.. (2021). Establishment of human induced trophoblast stem-like cells from term villous cytotrophoblasts. Stem Cell Research. 56. 102507–102507. 30 indexed citations
9.
Helling, Britney A., Débora R. Sobreira, Grace Hansen, et al.. (2020). Altered transcriptional and chromatin responses to rhinovirus in bronchial epithelial cells from adults with asthma. Communications Biology. 3(1). 678–678. 9 indexed citations
10.
Montefiori, Lindsey E., Débora R. Sobreira, Noboru J. Sakabe, et al.. (2018). A promoter interaction map for cardiovascular disease genetics. eLife. 7. 82 indexed citations
11.
Montefiori, Lindsey E., Zijie Zhang, Yoav Gilad, et al.. (2017). Reducing mitochondrial reads in ATAC-seq using CRISPR/Cas9. Scientific Reports. 7(1). 2451–2451. 33 indexed citations
12.
Guimarães‐Camboa, Nuno, Ivy Aneas, Noboru J. Sakabe, et al.. (2015). HIF1α Represses Cell Stress Pathways to Allow Proliferation of Hypoxic Fetal Cardiomyocytes. Developmental Cell. 33(5). 507–521. 120 indexed citations
13.
Sakabe, Noboru J. & Marcelo A. Nóbrega. (2013). Beyond the ENCODE project: using genomics and epigenomics strategies to study enhancer evolution. Philosophical Transactions of the Royal Society B Biological Sciences. 368(1632). 20130022–20130022. 12 indexed citations
14.
Sakabe, Noboru J., Ivy Aneas, Tao Shen, et al.. (2012). Dual transcriptional activator and repressor roles of TBX20 regulate adult cardiac structure and function. Human Molecular Genetics. 21(10). 2194–2204. 51 indexed citations
15.
Shen, Tao, Ivy Aneas, Noboru J. Sakabe, et al.. (2011). Tbx20 regulates a genetic program essential to adult mouse cardiomyocyte function. Journal of Clinical Investigation. 121(12). 4640–4654. 113 indexed citations
16.
Narlikar, Leelavati, et al.. (2010). Genome-wide discovery of human heart enhancers. Genome Research. 20(3). 381–392. 97 indexed citations
17.
Sakabe, Noboru J. & Marcelo A. Nóbrega. (2010). Genome‐wide maps of transcription regulatory elements. WIREs Systems Biology and Medicine. 2(4). 422–437. 20 indexed citations
18.
Sakabe, Noboru J. & Sandro de Souza. (2007). Sequence features responsible for intron retention in human. BMC Genomics. 8(1). 59–59. 132 indexed citations
19.
Vibranovski, Maria D., Noboru J. Sakabe, & Sandro J. de Souza. (2006). A possible role of exon‐shuffling in the evolution of signal peptides of human proteins. FEBS Letters. 580(6). 1621–1624. 11 indexed citations
20.
Galante, Pedro A. F., et al.. (2004). Detection and evaluation of intron retention events in the human transcriptome. RNA. 10(5). 757–765. 175 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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