Eri Murata

943 citations
46 papers · 727 · h-index 14

Impact in

Papers in

    • TGF-β signaling in diseases 6
    • Biochemical and Molecular Research 4
    • Bone Metabolism and Diseases 3
    • Pain Mechanisms and Treatments 4
    • Nitric Oxide and Endothelin Effects 2

Eri Murata

43 papers receiving 717 citations

Peers

Eri Murata
Comparison fields: 5 of 102
  • Endocrine and Autonomic Systems 54
  • Cellular and Molecular Neuroscience 111
  • Developmental Neuroscience 17
  • Behavioral Neuroscience 15
  • Physiology 102
Replace Junko Nakayama with:
Junko Nakayama Japan
Wei Qu China
Daniela Bermpohl United States
Lina Du China
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Junyun He United States
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Eri Murata relative to Junko Nakayama Japan Junko Nakayama's profile →
Citations per field
00.5×1.5×1.9×
Junko Nakayama · 1×
Citations per year

Countries citing papers authored by Eri Murata

Since Specialization
Citations

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

Fields of papers citing papers by Eri Murata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eri Murata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eri Murata Line = papers co-authored together Eri Murata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015106
2 201488
3 200660
4 200052
5 199646
6 201438
7 199734
8 200923
9 200722
10 200522
11 201822
12 201416
13 200814
14 201014
15 201213
16 200812
17 200512
18 199110
19 200210
20 19989

About Eri Murata

Eri Murata is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Surgery and Epidemiology, having authored 46 papers that have together received 727 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (6 papers), Pain Mechanisms and Treatments (4 papers), Nerve injury and regeneration (4 papers), Biochemical and Molecular Research (4 papers), Bone Metabolism and Diseases (3 papers), Trypanosoma species research and implications (3 papers), Nitric Oxide and Endothelin Effects (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (54 citations), Cellular and Molecular Neuroscience (111 citations), Developmental Neuroscience (17 citations), Behavioral Neuroscience (15 citations) and Physiology (102 citations). Eri Murata has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Munetaka Hirose, Yoshihiro Kuroda, Takashi Higuchi, Takuya Murata, Hailong Dong, Satoru Fukuda, Masayuki Funaba, Takashi Aoki, Muneaki Hashimoto and Zhenghua Zhu. Their work appears in journals such as Anesthesiology, Cells Tissues Organs, Journal of Pharmacological Sciences, Cellular Microbiology and Experimental and Molecular Pathology.

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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