Mitsuyoshi Murata

3.2k total citations
9 papers, 474 citations indexed

About

Mitsuyoshi Murata is a scholar working on Molecular Biology, Cancer Research and Ecology. According to data from OpenAlex, Mitsuyoshi Murata has authored 9 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Ecology. Recurrent topics in Mitsuyoshi Murata's work include RNA modifications and cancer (3 papers), Molecular Biology Techniques and Applications (3 papers) and Cancer-related molecular mechanisms research (3 papers). Mitsuyoshi Murata is often cited by papers focused on RNA modifications and cancer (3 papers), Molecular Biology Techniques and Applications (3 papers) and Cancer-related molecular mechanisms research (3 papers). Mitsuyoshi Murata collaborates with scholars based in Japan, Australia and United Kingdom. Mitsuyoshi Murata's co-authors include Piero Carninci, Hazuki Takahashi, Timo Lassmann, Yoshihide Hayashizaki, Masayoshi Itoh, Hiromi Nishiyori-Sueki, Sachi Kato, Marina Lizio, Hideya Kawaji and Mitsuoki Kawano and has published in prestigious journals such as Nature Protocols, Genome Research and BioTechniques.

In The Last Decade

Mitsuyoshi Murata

9 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mitsuyoshi Murata Japan	6	401	127	57	54	24	9	474
Daphne S. Cabianca Switzerland	9	706 1.8×	217 1.7×	53 0.9×	56 1.0×	14 0.6×	11	762
Paolo Benatti Italy	8	329 0.8×	111 0.9×	58 1.0×	29 0.5×	11 0.5×	8	383
Tasneem Khanam Germany	9	370 0.9×	131 1.0×	46 0.8×	49 0.9×	7 0.3×	11	432
Sowmya Iyer United States	3	619 1.5×	77 0.6×	60 1.1×	106 2.0×	17 0.7×	3	711
Gilad Fuchs Israel	8	607 1.5×	132 1.0×	27 0.5×	44 0.8×	31 1.3×	12	659
Valentina Casà Italy	7	563 1.4×	185 1.5×	43 0.8×	100 1.9×	12 0.5×	8	606
Julie Stock United Kingdom	6	806 2.0×	72 0.6×	61 1.1×	111 2.1×	18 0.8×	6	856
Jinmi Choi South Korea	12	515 1.3×	91 0.7×	30 0.5×	57 1.1×	26 1.1×	17	590
Michael A. Cortázar United States	10	832 2.1×	62 0.5×	46 0.8×	56 1.0×	22 0.9×	12	896
Katalin Ferenc Norway	3	257 0.6×	68 0.5×	56 1.0×	48 0.9×	14 0.6×	5	384

Countries citing papers authored by Mitsuyoshi Murata

Since Specialization

Citations

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

Fields of papers citing papers by Mitsuyoshi Murata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuyoshi Murata

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

All Works

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9 of 9 papers shown

1.

Murata, Mitsuyoshi, et al.. (2014). Detecting Expressed Genes Using CAGE. Methods in molecular biology. 1164. 67–85. 126 indexed citations

2.

Kawaji, Hideya, Marina Lizio, Masayoshi Itoh, et al.. (2014). Comparison of CAGE and RNA-seq transcriptome profiling using clonally amplified and single-molecule next-generation sequencing. Genome Research. 24(4). 708–717. 68 indexed citations

3.

Takahashi, Hazuki, Timo Lassmann, Mitsuyoshi Murata, & Piero Carninci. (2012). 5′ end–centered expression profiling using cap-analysis gene expression and next-generation sequencing. Nature Protocols. 7(3). 542–561. 182 indexed citations

4.

Takahashi, Hazuki, Sachi Kato, Mitsuyoshi Murata, & Piero Carninci. (2011). CAGE (Cap Analysis of Gene Expression): A Protocol for the Detection of Promoter and Transcriptional Networks. Methods in molecular biology. 786. 181–200. 68 indexed citations

5.

Salimullah, M., et al.. (2009). Tunable fractionation of nucleic acids. BioTechniques. 47(6). 1041–1043. 2 indexed citations

6.

Maeda, Norihiro, Hiromi Nishiyori, Mari Nakamura, et al.. (2008). Development of a DNA Barcode Tagging Method for Monitoring Dynamic Changes in Gene Expression by using an Ultra High-Throughput Sequencer. BioTechniques. 45(1). 95–97. 17 indexed citations

7.

Murata, Mitsuyoshi, et al.. (2004). Content of 6-Methylsulfinylhexyl isothiocyanate in Wasabi and Processed Wasabi Products. Nippon Shokuhin Kagaku Kogaku Kaishi. 51(9). 477–482. 7 indexed citations

8.

Fujita, Yuki, Naotaka Ogasawara, Yoshito Sadaie, et al.. (1999). [The genome of Bacillus subtilis and the features of its genes].. PubMed. 44(10). 1449–59. 1 indexed citations

9.

Murata, Mitsuyoshi & Shunichiro Tsuji. (1976). Specific interaction between the D genome and the three alien cytoplasms in wheat.. 2–5. 3 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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