Naomi Murai

1.0k citations
11 papers · 810 · h-index 6

Impact in

Papers in

Naomi Murai

10 papers receiving 787 citations

Peers

Naomi Murai
Comparison fields: 5 of 67
  • Endocrine and Autonomic Systems 215
  • Pharmacology 236
  • Cellular and Molecular Neuroscience 226
  • Genetics 144
  • Hepatology 37
Replace Claude Godbout with:
Claude Godbout Canada
Lisa S. Beavers United States
Marco A. Piñeyro United States
Fabio Malugani Italy
Anethe Mansén Sweden
Estelle Bribes France
Kevin B.S. Chow Hong Kong
Alessandra Spagnolo United States
Elaine Cheng United States
Mohammed Bensaïd France
Naomi Murai relative to Claude Godbout Canada Claude Godbout's profile →
Citations per field
00.5×12.3×
Claude Godbout · 1×
Citations per year

Countries citing papers authored by Naomi Murai

Since Specialization
Citations

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

Fields of papers citing papers by Naomi Murai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Naomi Murai, 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 Naomi Murai Line = papers co-authored together Naomi Murai links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2000296
2 2000210
3
Lack of tumorigenesis in the mouse liver after adenovirus-mediated expression of a dominant stable mutant of beta-catenin.
2002137
4 200189
5 199933
6 201031
7 20124
8 20154
9 20123
10 20013
11 20120

About Naomi Murai

Naomi Murai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Reproductive Medicine, having authored 11 papers that have together received 810 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (3 papers), Regulation of Appetite and Obesity (3 papers), Neuropeptides and Animal Physiology (3 papers), Hypothalamic control of reproductive hormones (2 papers), Ion channel regulation and function (2 papers), Inflammatory mediators and NSAID effects (1 paper), Cardiac pacing and defibrillation studies (1 paper) and Retinoids in leukemia and cellular processes (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (215 citations), Pharmacology (236 citations), Cellular and Molecular Neuroscience (226 citations), Genetics (144 citations) and Hepatology (37 citations). Naomi Murai has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Masanobu Oshima, Makoto M. Taketo, Jilly F. Evans, Stacia Kargman, Pauline Luk, Takahiro Fukuroda, Satoshi Mashiko, Masaki Ihara, Yumiko Saga and Yoshitaka Tamai. Their work appears in journals such as Molecular Pharmacology, Circulation Journal, Journal of Molecular and Cellular Cardiology, Allergology International and Circulation.

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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