Takuya Murata

2.4k citations
116 papers · 1.8k · h-index 23

Impact in

Papers in

Takuya Murata

113 papers receiving 1.8k citations

Peers

Takuya Murata
Comparison fields: 5 of 126
  • Endocrine and Autonomic Systems 240
  • Biotechnology 139
  • Behavioral Neuroscience 50
  • Reproductive Medicine 90
  • Molecular Biology 689
Replace Y. Nakai with:
Y. Nakai Japan
Takashi Tominaga Japan
Chen Zhang China
Takahiro Sato Japan
Edward J. Roy United States
Simon J. O’Carroll New Zealand
Klaus G. Petry France
Nicoletta Rizzi Italy
Gunther Wennemuth Germany
Satoko Sudo Japan
Takuya Murata relative to Y. Nakai Japan Y. Nakai's profile →
Citations per field
00.5×10.7×
Y. Nakai · 1×
Citations per year

Countries citing papers authored by Takuya Murata

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Murata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009119
2 201585
3 201179
4 198667
5 200560
6 200053
7 200052
8 199646
9 200443
10 200342
11 199840
12 199734
13 200332
14 200030
15 201728
16 200928
17 201327
18 200026
19 202126
20 200325

About Takuya Murata

Takuya Murata is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Social Psychology, Genetics and Electrical and Electronic Engineering, having authored 116 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (16 papers), Regulation of Appetite and Obesity (13 papers), Cancer Research and Treatments (9 papers), Reproductive System and Pregnancy (8 papers), TGF-β signaling in diseases (7 papers), Anodic Oxide Films and Nanostructures (6 papers), GaN-based semiconductor devices and materials (6 papers) and Developmental Biology and Gene Regulation (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (240 citations), Biotechnology (139 citations), Behavioral Neuroscience (50 citations), Reproductive Medicine (90 citations) and Molecular Biology (689 citations). Takuya Murata has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Takashi Higuchi, Shinichi Aizawa, Robert M. Hoffman, Kazumasa Honda, Takashi Higuchi, Eri Murata, Isao Matsuo, Kosuke Narita, Kenryo Furushima and Yoichi Gondo. Their work appears in journals such as Journal of Neuroendocrinology, Anticancer Research, PLoS ONE, Biochemical and Biophysical Research Communications and IEEE Transactions on Electron Devices.

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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