Yasuhiro Murakawa

4.4k total citations · 1 hit paper
51 papers, 3.0k citations indexed

About

Yasuhiro Murakawa is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Yasuhiro Murakawa has authored 51 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 13 papers in Cancer Research and 8 papers in Immunology. Recurrent topics in Yasuhiro Murakawa's work include RNA Research and Splicing (16 papers), RNA and protein synthesis mechanisms (11 papers) and Genomics and Chromatin Dynamics (9 papers). Yasuhiro Murakawa is often cited by papers focused on RNA Research and Splicing (16 papers), RNA and protein synthesis mechanisms (11 papers) and Genomics and Chromatin Dynamics (9 papers). Yasuhiro Murakawa collaborates with scholars based in Japan, United States and Italy. Yasuhiro Murakawa's co-authors include Markus Landthaler, Masahito Yoshihara, Yoshihide Hayashizaki, Emanuel Wyler, Mathias Munschauer, Matthias Selbach, Noah Youngs, Duncan Penfold-Brown, Björn Schwanhäußer and Christoph Dieterich and has published in prestigious journals such as Cell, Circulation and Nature Communications.

In The Last Decade

Yasuhiro Murakawa

50 papers receiving 3.0k citations

Hit Papers

The mRNA-Bound Proteome and Its Global Occupancy Profile ... 2012 2026 2016 2021 2012 250 500 750

Peers

Yasuhiro Murakawa
Matteo Cesaroni United States
Ashley Lau United States
Justin Wong Australia
Suming Huang United States
Luc Furic Australia
Xin Gao China
Matteo Cesaroni United States
Yasuhiro Murakawa
Citations per year, relative to Yasuhiro Murakawa Yasuhiro Murakawa (= 1×) peers Matteo Cesaroni

Countries citing papers authored by Yasuhiro Murakawa

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiro Murakawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yasuhiro Murakawa. 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 Yasuhiro Murakawa. The network helps show where Yasuhiro Murakawa may publish in the future.

Co-authorship network of co-authors of Yasuhiro Murakawa

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuhiro Murakawa. A scholar is included among the top collaborators of Yasuhiro Murakawa 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 Yasuhiro Murakawa. Yasuhiro Murakawa 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.
Sumida, Tomokazu S., Matthew R. Lincoln, Liang He, et al.. (2024). An autoimmune transcriptional circuit drives FOXP3 + regulatory T cell dysfunction. Science Translational Medicine. 16(762). eadp1720–eadp1720. 8 indexed citations
2.
Kobayashi, Masayuki, Yoko Takiuchi, Kohei Tada, et al.. (2023). HTLV-1 bZIP factor impairs DNA mismatch repair system. Biochemical and Biophysical Research Communications. 657. 43–49. 2 indexed citations
3.
Oguchi, Akiko, Mitsuo Suga, Masaru Tamura, et al.. (2023). Morphomics via next-generation electron microscopy. Journal of Molecular Cell Biology. 15(12). 5 indexed citations
4.
Hayashi, Ryuhei, Reiko Kobayashi, Hiroshi Takayanagi, et al.. (2023). Identification of BST2 as a conjunctival epithelial stem/progenitor cell marker. iScience. 26(7). 107016–107016. 8 indexed citations
5.
Takeda, Shunichi, Hiroyuki Sasanuma, Hisashi Tanaka, et al.. (2022). ATM suppresses c-Myc overexpression in the mammary epithelium in response to estrogen. Cell Reports. 42(1). 111909–111909. 7 indexed citations
6.
Ichise, Hiroshi, Tetsuya Watabe, Shinya Tsukiji, et al.. (2021). Intravital Imaging Identifies the VEGF–TXA2 Axis as a Critical Promoter of PGE2 Secretion from Tumor Cells and Immune Evasion. Cancer Research. 81(15). 4124–4132. 22 indexed citations
7.
Yamamura, Yuta, Kengo Furuichi, Yasuhiro Murakawa, et al.. (2021). Identification of candidate PAX2-regulated genes implicated in human kidney development. Scientific Reports. 11(1). 9123–9123. 10 indexed citations
8.
Hia, Fabian, Yuichi Shichino, Masanori Yoshinaga, et al.. (2019). Codon bias confers stability to human mRNA s. EMBO Reports. 20(11). 104 indexed citations
9.
Hirabayashi, Shigeki, Yu Matsuki, Yujiro Takegami, et al.. (2019). NET-CAGE characterizes the dynamics and topology of human transcribed cis-regulatory elements. Nature Genetics. 51(9). 1369–1379. 61 indexed citations
10.
Miyazato, Paola, Misaki Matsuo, Benjy J.Y. Tan, et al.. (2019). HTLV-1 contains a high CG dinucleotide content and is susceptible to the host antiviral protein ZAP. Retrovirology. 16(1). 38–38. 26 indexed citations
11.
Yamazaki, Hiroyuki, Kotaro Shirakawa, Tadahiko Matsumoto, et al.. (2019). Endogenous APOBEC3B Overexpression Constitutively Generates DNA Substitutions and Deletions in Myeloma Cells. Scientific Reports. 9(1). 7122–7122. 25 indexed citations
12.
Takiuchi, Yoko, Masayuki Kobayashi, Kohei Tada, et al.. (2017). HTLV-1 bZIP factor suppresses TDP1 expression through inhibition of NRF-1 in adult T-cell leukemia. Scientific Reports. 7(1). 12849–12849. 12 indexed citations
13.
Hasler, Daniele, G. Lehmann, Yasuhiro Murakawa, et al.. (2016). The Lupus Autoantigen La Prevents Mis-channeling of tRNA Fragments into the Human MicroRNA Pathway. Molecular Cell. 63(1). 110–124. 102 indexed citations
14.
Murakawa, Yasuhiro, Jens T. Vanselow, Elmar Wolf, et al.. (2015). LARP4B is an AU-rich sequence associated factor that promotes mRNA accumulation and translation. RNA. 21(7). 1294–1305. 43 indexed citations
15.
Adachi, Shun, Yasuhiro Murakawa, & Sota Hiraga. (2015). Dynamic nature of SecA and its associated proteins in Escherichia coli. Frontiers in Microbiology. 6. 75–75. 6 indexed citations
16.
Mino, Takashi, Yasuhiro Murakawa, Akira Fukao, et al.. (2015). Regnase-1 and Roquin Regulate a Common Element in Inflammatory mRNAs by Spatiotemporally Distinct Mechanisms. Cell. 161(5). 1058–1073. 288 indexed citations
17.
Schuetz, A., Yasuhiro Murakawa, Eva Rosenbaum, Markus Landthaler, & Udo Heinemann. (2014). Roquin binding to target mRNAs involves a winged helix-turn-helix motif. Nature Communications. 5(1). 5701–5701. 29 indexed citations
18.
Liu, Yuting, Wenchao Hu, Yasuhiro Murakawa, et al.. (2013). Cold-induced RNA-binding proteins regulate circadian gene expression by controlling alternative polyadenylation. Scientific Reports. 3(1). 2054–2054. 143 indexed citations
19.
Murakawa, Yasuhiro, Eiichiro Sonoda, Louise J. Barber, et al.. (2007). Inhibitors of the Proteasome Suppress Homologous DNA Recombination in Mammalian Cells. Cancer Research. 67(18). 8536–8543. 88 indexed citations
20.
Zhao, Guang, Eiichiro Sonoda, Louise J. Barber, et al.. (2007). A Critical Role for the Ubiquitin-Conjugating Enzyme Ubc13 in Initiating Homologous Recombination. Molecular Cell. 25(5). 663–675. 186 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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