Masao Ueki

1.3k total citations
45 papers, 569 citations indexed

About

Masao Ueki is a scholar working on Genetics, Surgery and Molecular Biology. According to data from OpenAlex, Masao Ueki has authored 45 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 9 papers in Surgery and 9 papers in Molecular Biology. Recurrent topics in Masao Ueki's work include Genetic Associations and Epidemiology (11 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Pancreatic function and diabetes (7 papers). Masao Ueki is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Pancreatic function and diabetes (7 papers). Masao Ueki collaborates with scholars based in Japan, United States and France. Masao Ueki's co-authors include Gen Tamiya, Yoshinori Kawasaki, Kyoko Kumagai, Yuko Ito, Hideki Abe, Y. Otsuki, Akira Narita, Yoichiro Yamamoto, Megumi Iwano and Yukihiro Kondo and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Masao Ueki

43 papers receiving 556 citations

Peers

Countries citing papers authored by Masao Ueki

Since Specialization

Citations

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

Fields of papers citing papers by Masao Ueki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masao Ueki

This figure shows the co-authorship network connecting the top 25 collaborators of Masao Ueki. A scholar is included among the top collaborators of Masao Ueki 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 Masao Ueki. Masao Ueki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A deflation-adjusted Bayesian information criterion for selecting the number of clusters in K-means clustering 2025 ·Computational Statistics & Data Analysis ·Masao Ueki	0
2	Novel imaging diagnosis of neuropsychiatric systemic lupus erythematosus using topological data analysis: A retrospective study 2025 ·PLoS ONE ·(unknown), Kunihiro Ichinose, Hideki Ishimaru, Hirokazu Kumazaki, Atsushi Kawakami, Masao Ueki	0
3	A fine‐scale genetic map of the Japanese population 2024 ·Clinical Genetics ·Jun Takayama, Satoshi Makino, (unknown), Masao Ueki, Akira Narita, Keiko Murakami, Masatsugu Orui, Mami Ishikuro, Taku Obara, Shinichi Kuriyama, Masayuki Yamamoto, Gen Tamiya	1
4	Interaction between Functional Connectivity and Neural Excitability in Autism: A Novel Framework for Computational Modeling and Application to Biological Data 2023 ·SHILAP Revista de lepidopterología ·Yuta Takahashi, Shingo Murata, Masao Ueki, Hiroaki Tomita, Yuichi Yamashita	3
5	Testing conditional mean through regression model sequence using Yanai’s generalized coefficient of determination 2021 ·Computational Statistics & Data Analysis ·Masao Ueki	5
6	Improved metabolomic data-based prediction of depressive symptoms using nonlinear machine learning with feature selection 2020 ·Translational Psychiatry ·Yuta Takahashi, Masao Ueki, Makoto Yamada, Gen Tamiya, Ikuko N. Motoike, Daisuke Saigusa, (unknown), Fuji Nagami, Soichi Ogishima, S. Koshiba, Kengo Kinoshita, Masayuki Yamamoto, Hiroaki Tomita	27
7	Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes 2020 ·Translational Psychiatry ·Yuta Takahashi, Masao Ueki, Gen Tamiya, Soichi Ogishima, Kengo Kinoshita, Atsushi Hozawa, Naoko Minegishi, Fuji Nagami, Kentaro Fukumoto, Kotaro Otsuka, Kozo Tanno, Kiyomi Sakata, Atsushi Shimizu, Makoto Sasaki, Kenji Sobue, Shigeo Kure, Masayuki Yamamoto, Hiroaki Tomita	19
8	Artificial intelligence powered statistical genetics in biobanks 2020 ·Journal of Human Genetics ·Akira Narita, Masao Ueki, Gen Tamiya	20
9	Machine learning to reveal hidden risk combinations for the trajectory of posttraumatic stress disorder symptoms 2020 ·Scientific Reports ·Yuta Takahashi, Kazuki Yoshizoe, Masao Ueki, Gen Tamiya, (unknown), (unknown), Atsushi Sakuma, Koji Tsuda, Atsushi Hozawa, Ichiro Tsuji, Hiroaki Tomita	6
10	Quick assessment for systematic test statistic inflation/deflation due to null model misspecifications in genome-wide environment interaction studies 2019 ·PLoS ONE ·Masao Ueki, Masahiro Fujii, Gen Tamiya	9
11	Automated acquisition of explainable knowledge from unannotated histopathology images 2019 ·Nature Communications ·Yoichiro Yamamoto, Toyonori Tsuzuki, (unknown), Masao Ueki, (unknown), Yasushi Numata, Taishi Takahara, (unknown), (unknown), Ryuto Nakazawa, Akira Shimizu, Ichiro Maeda, Shinichi Tsuchiya, Hiroyuki Kanno, Yukihiro Kondo, Manabu Fukumoto, Gen Tamiya, Naonori Ueda, Go Kimura	88
12	Growth impairment in individuals with citrin deficiency 2019 ·Journal of Inherited Metabolic Disease ·Chikahiko Numakura, Gen Tamiya, Masao Ueki, Tomoo Okada, Shunichi Maisawa, (unknown), Jun Murakami, Reiko Horikawa, Daisuke Tokuhara, Koichi Ito, Masanori Adachi, (unknown), Tetsuo Mitsui, Kiyoshi Hayasaka	14
13	A Mutation of COX6A1 Causes a Recessive Axonal or Mixed Form of Charcot-Marie-Tooth Disease 2014 ·The American Journal of Human Genetics ·Gen Tamiya, Satoshi Makino, Makiko Hayashi, Akiko Abe, Chikahiko Numakura, Masao Ueki, Atsushi Tanaka, Chizuru Ito, Kiyotaka Toshimori, Nobuhiro Ogawa, Tomoya Terashima, Hiroshi Maegawa, Daijiro Yanagisawa, Ikuo Tooyama, Masayoshi Tada, Osamu Onodera, Kiyoshi Hayasaka	63
14	The confounding effect of cryptic relatedness for environmental risks of systolic blood pressure on cohort studies 2013 ·Molecular Genetics & Genomic Medicine ·(unknown), Atsushi Hozawa, Gen Tamiya, Masao Ueki, Tomohiro Nakamura, Hiroto Narimatsu, Isao Kubota, Yoshiyuki Ueno, Takeo Kato, Hidetoshi Yamashita, Akira Fukao, Takamasa Kayama	3
15	Ultrahigh-dimensional variable selection method for whole-genome gene-gene interaction analysis 2012 ·BMC Bioinformatics ·Masao Ueki, Gen Tamiya	24
16	Optimal tuning parameter estimation in maximum penalized likelihood method 2008 ·Annals of the Institute of Statistical Mathematics ·Masao Ueki, (unknown)	7
17	Apoptosis in the normal human amnion at term, independent of Bcl-2 regulation and onset of labour 2001 ·Molecular Human Reproduction ·Kyoko Kumagai, Y. Otsuki, Yuko Ito, (unknown), Hideki Abe, Masao Ueki	43
18	Protective effects of nicotinamide on renal subcapsular islet isografts with a marginal mass from sustained hyperglycemia in the streptozotocin-induced diabetic rats. 1995 ·PubMed ·(unknown), Yohichi Yasunami, Noriko Nagata, Masao Ueki, Junya Ono, (unknown)	1
19	Diabetogenic effects of FK506 on renal subcapsular islet isografts in rat 1993 ·Diabetes Research and Clinical Practice ·Masao Ueki, Yohichi Yasunami, Keisuke Ina, (unknown), Akihiro Funakoshi, (unknown), Seiyo Ikeda	13
20	Influence of recrystallization on the outgassing characteristics of copper 1992 ·Journal of Vacuum Science & Technology A Vacuum Surfaces and Films ·(unknown), (unknown), Toshiaki Yoshikawa, Masao Ueki	2

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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