Chie Murata

957 citations
21 papers · 771 · h-index 11

Impact in

Papers in

    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 7
    • Animal Genetics and Reproduction 4
    • Genetic diversity and population structure 3
    • Lipid Membrane Structure and Behavior 2
    • Advanced biosensing and bioanalysis techniques 1

Chie Murata

19 papers receiving 758 citations

Peers

Chie Murata
Comparison fields: 5 of 89
  • Reproductive Medicine 88
  • Cell Biology 120
  • Genetics 168
  • Immunology 122
  • Cancer Research 75
Replace Albert Ricken with:
Albert Ricken Germany
Nataly Shtraizent United States
D. Depétris France
Laurie G. Paavola United States
J. Saadi Imam United States
Jason D. Heaney United States
Yuko Matsubara Japan
Efrat Eliyahu United States
Zhaohong Yi China
Xidan Li Sweden
Chie Murata relative to Albert Ricken Germany Albert Ricken's profile →
Citations per field
00.5×1.7×
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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016204
2 2005168
3 200699
4 200768
5 201860
6 201027
7 201126
8 198126
9 201419
10 201618
11 201018
12 201510
13 20217
14 20166
15 20175
16 20174
17 20104
18 20131
19 20191
20 20240

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 21 papers that have together received 771 indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Chromosomal and Genetic Variations (5 papers), Animal Genetics and Reproduction (4 papers), Genetic diversity and population structure (3 papers), Lipid Membrane Structure and Behavior (2 papers), Amphibian and Reptile Biology (2 papers), Cellular transport and secretion (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Reproductive Medicine (88 citations), Cell Biology (120 citations), Genetics (168 citations), Immunology (122 citations) and Cancer Research (75 citations). Chie Murata has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Ryo Taguchi, Yusuke Maeda, Taroh Kinoshita, Asato Kuroiwa, Issei Imoto, Daiju Fukuda, Michio Shimabukuro, Hisashi Ashida, Sachiko Nishimoto and Masataka Sata. Their work appears in journals such as Chromosome Research, Chromosoma, Nature Medicine, BMC Pregnancy and Childbirth and Molecular Cytogenetics.

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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