Sachiko Murase

58 total papers · 1.4k total citations
39 papers, 1.1k citations indexed

About

Sachiko Murase is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Sachiko Murase has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 15 papers in Cellular and Molecular Neuroscience and 4 papers in Oncology. Recurrent topics in Sachiko Murase's work include Chemical Synthesis and Analysis (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). Sachiko Murase is often cited by papers focused on Chemical Synthesis and Analysis (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). Sachiko Murase collaborates with scholars based in United States, Japan and Russia. Sachiko Murase's co-authors include Erin M. Schuman, Eric A. Mosser, Ronald D.G. McKay, Elizabeth M. Quinlan, Noboru Yumoto, Takashi Suemasu, David F. Owens, Michael Petukhov, Alfredo Kirkwood and Michihiro Kitagawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Sachiko Murase

38 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sachiko Murase 628 525 172 134 100 39 1.1k
Pei‐Lin Cheng 657 1.0× 639 1.2× 236 1.4× 218 1.6× 154 1.5× 22 1.4k
Yi Zhou 892 1.4× 414 0.8× 134 0.8× 101 0.8× 66 0.7× 40 1.3k
René Jüttner 770 1.2× 697 1.3× 134 0.8× 111 0.8× 144 1.4× 44 1.4k
Mu Sun 474 0.8× 551 1.0× 123 0.7× 202 1.5× 144 1.4× 26 1.1k
Sigrun Nestel 556 0.9× 444 0.8× 118 0.7× 194 1.4× 107 1.1× 26 1.2k
Christopher D. Deppmann 647 1.0× 535 1.0× 241 1.4× 135 1.0× 65 0.7× 45 1.4k
Pietro Fazzari 450 0.7× 612 1.2× 196 1.1× 160 1.2× 108 1.1× 20 919
Robert Monette 608 1.0× 535 1.0× 105 0.6× 98 0.7× 59 0.6× 44 1.2k
Liyi Li 600 1.0× 563 1.1× 224 1.3× 178 1.3× 218 2.2× 37 1.2k
Helen C. Lai 825 1.3× 398 0.8× 151 0.9× 144 1.1× 98 1.0× 24 1.2k

Countries citing papers authored by Sachiko Murase

Since Specialization
Citations

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

Fields of papers citing papers by Sachiko Murase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachiko Murase

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

All Works

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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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