Chie Murata

984 citations
23 papers · 828 · h-index 12

Impact in

Papers in

    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 7
    • Animal Genetics and Reproduction 3
    • Genetic diversity and population structure 3
    • Lipid Membrane Structure and Behavior 2

Chie Murata

22 papers receiving 816 citations

Peers

Chie Murata
Comparison fields: 5 of 88
  • Reproductive Medicine 88
  • Cell Biology 123
  • Genetics 169
  • Immunology 115
  • Cancer Research 72
Replace Albert Ricken with:
Albert Ricken Germany
Christopher Ford United Kingdom
Shiying Miao China
Yanfen Hu United States
Laurie G. Paavola United States
Paul Kroeger United States
Ippei Nagamori Japan
Mamoru Aoto Japan
W R Baumbach United States
Jae Ryoung Hwang South Korea
Chie Murata relative to Albert Ricken Germany Albert Ricken's profile →
Citations per field
00.5×1.5×1.9×
Albert Ricken · 1×
Citations per year

Countries citing papers authored by Chie Murata

Since Specialization
Citations

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

Fields of papers citing papers by Chie Murata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016211
2 2005182
3 2006105
4 200776
5 201860
6 201029
7 201127
8 198127
9 201420
10 201619
11 201018
12 201511
13 20077
14 20217
15 20037
16 20166
17 20175
18 20174
19 20104
20 20251

About Chie Murata

Chie Murata is a scholar working on Genetics, Molecular Biology, Plant Science, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 828 indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Animal Genetics and Reproduction (3 papers), Chromosomal and Genetic Variations (3 papers), Genetic diversity and population structure (3 papers), Cellular transport and secretion (2 papers), Amphibian and Reptile Biology (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Reproductive Medicine (88 citations), Cell Biology (123 citations), Genetics (169 citations), Immunology (115 citations) and Cancer Research (72 citations). Chie Murata has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Ryo Taguchi, Taroh Kinoshita, Yusuke Maeda, Asato Kuroiwa, Issei Imoto, Yuko Tashima, Hisashi Ashida, Kazuo Yamagata, Masaru Okabe and Michio Shimabukuro. Their work appears in journals such as Chromosome Research, Chromosoma, Molecular Ecology Resources, BMC Pregnancy and Childbirth 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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