Yuji Murata

12.6k citations
348 papers · 9.5k indexed · h-index 52

Impact in

Papers in

Yuji Murata

339 papers receiving 9.2k citations

Peers

Yuji Murata
Comparison fields: 5 of 162
  • Obstetrics and Gynecology 1.1k
  • Reproductive Medicine 1.1k
  • Endocrine and Autonomic Systems 737
  • Pediatrics, Perinatology and Child Health 1.3k
  • Cancer Research 782
Replace Sergio Bernasconi with:
Sergio Bernasconi Italy
Sadao Kimura Japan
Hiroki Kurihara Japan
Allan Flyvbjerg Denmark
Judith A. Clements Australia
Brigitte Vollmar Germany
Leif Wide Sweden
Christine N. Metz United States
Hiroshi Itoh Japan
Andrew R. Hoffman United States
Yuji Murata relative to Sergio Bernasconi Italy Sergio Bernasconi's profile →
Citations per field
00.5×3.5×
Sergio Bernasconi · 1×
Citations per year

Countries citing papers authored by Yuji Murata

Since Specialization
Citations

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

Fields of papers citing papers by Yuji Murata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20247
2 201047
3 200613
4 20069
5 200517
6 200546
7 2005134
8 20042
9 200241
10 20012
11 19992
12 199943
13 199831
14 199812
15 199822
16 199714
17 199727
18 199679
19 199471
20
Effect of arginine vasopressin on arterial oxygen partial pressure in the chronically catheterized fetal lamb.
19871

About Yuji Murata

Yuji Murata is a scholar working on Obstetrics and Gynecology, Endocrine and Autonomic Systems, Pediatrics, Perinatology and Child Health, Reproductive Medicine and Immunology, having authored 348 papers that have together received 9.5k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (40 papers), Reproductive System and Pregnancy (33 papers), Neonatal Respiratory Health Research (25 papers), Neuroscience of respiration and sleep (20 papers), Estrogen and related hormone effects (17 papers), Pregnancy and preeclampsia studies (17 papers), Prenatal Screening and Diagnostics (14 papers) and High voltage insulation and dielectric phenomena (13 papers). The work is most often cited by research in Obstetrics and Gynecology (1.1k citations), Reproductive Medicine (1.1k citations), Endocrine and Autonomic Systems (737 citations), Pediatrics, Perinatology and Child Health (1.3k citations) and Cancer Research (782 citations). Yuji Murata has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Keiichi Tasaka, Masahide Ohmichi, Hirohisa Kurachi, Yukihiro Nishio, Jun Hayakawa, Akiko Kimura, Koichiro Shimoya, Takayuki Enomoto, Masahiro Tahara and Masahiro Sakata. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Japanese Journal of Applied Physics, Biochemical and Biophysical Research Communications, Endocrinology and Journal of Biological Chemistry.

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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