Yuki Shibata

116 total papers · 751 total citations
53 papers, 535 citations indexed

About

Yuki Shibata is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yuki Shibata has authored 53 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Genetics and 13 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yuki Shibata's work include Thyroid Disorders and Treatments (12 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers). Yuki Shibata is often cited by papers focused on Thyroid Disorders and Treatments (12 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers). Yuki Shibata collaborates with scholars based in Japan, United States and China. Yuki Shibata's co-authors include Yun‐Bo Shi, Hongen Zhang, Luan Wen, Liezhen Fu, Morihiro Okada, Masakazu Suzuki, Katsuhiko Kitano, Mitsunori Nishikawa, Reiko Okada and Dan Su and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Current Biology and Scientific Reports.

In The Last Decade

Yuki Shibata

43 papers receiving 531 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yuki Shibata	172	148	146	55	35	53	535
Louise Evans	217 1.3×	143 1.0×	109 0.7×	46 0.8×	25 0.7×	37	615
S. Wamberg	87 0.5×	154 1.0×	36 0.2×	30 0.5×	56 1.6×	38	535
H. van Herck	115 0.7×	42 0.3×	69 0.5×	27 0.5×	29 0.8×	24	605
S. Y. Kim	158 0.9×	80 0.5×	116 0.8×	14 0.3×	49 1.4×	27	544
Alfredo Coviello	145 0.8×	46 0.3×	60 0.4×	74 1.3×	93 2.7×	64	571
Elizabeth T. Nguyen	131 0.8×	61 0.4×	61 0.4×	17 0.3×	54 1.5×	26	603
K. A. Burton	216 1.3×	127 0.9×	86 0.6×	12 0.2×	44 1.3×	25	513
G. Pethes	52 0.3×	85 0.6×	54 0.4×	53 1.0×	24 0.7×	48	462
B. E. Frye	75 0.4×	99 0.7×	65 0.4×	124 2.3×	39 1.1×	26	498
J.R.K. Preedy	47 0.3×	100 0.7×	127 0.9×	18 0.3×	9 0.3×	30	520

Countries citing papers authored by Yuki Shibata

Since Specialization

Citations

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

Fields of papers citing papers by Yuki Shibata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuki Shibata

This figure shows the co-authorship network connecting the top 25 collaborators of Yuki Shibata. A scholar is included among the top collaborators of Yuki Shibata based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuki Shibata. Yuki Shibata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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