Minae Kawashima

3.0k total citations
33 papers, 712 citations indexed

About

Minae Kawashima is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Minae Kawashima has authored 33 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hepatology, 10 papers in Epidemiology and 8 papers in Surgery. Recurrent topics in Minae Kawashima's work include Liver Diseases and Immunity (12 papers), Liver Disease Diagnosis and Treatment (9 papers) and Sleep and Wakefulness Research (8 papers). Minae Kawashima is often cited by papers focused on Liver Diseases and Immunity (12 papers), Liver Disease Diagnosis and Treatment (9 papers) and Sleep and Wakefulness Research (8 papers). Minae Kawashima collaborates with scholars based in Japan, United States and Denmark. Minae Kawashima's co-authors include Katsushi Tokunaga, Nao Nishida, Susumu Tanaka, Yutaka Honda, Taku Miyagawa, Makoto Honda, Mihoko Shimada, Minoru Nakamura, Ling Lin and Emmanuel Mignot and has published in prestigious journals such as Nature Genetics, PLoS ONE and Scientific Reports.

In The Last Decade

Minae Kawashima

33 papers receiving 691 citations

Peers

Minae Kawashima

ECP

EAS

GENET

Aditya Ambati United States

Henry T. Lau United States

Jingxu Zhu United States

T Maeda Japan

Izaura Lima Bomfim Sweden

Kazumasa Matsuki Japan

Kelly A. Loffler Australia

Guillaume Churlaud France

Wei Qu China

Michele Salemi Italy

Aditya Ambati United States

Minae Kawashima

200 ×0.8

141 ×0.7

ECP

114 ×0.8

EAS

49 ×0.3

GENET

93 ×0.7

Citations per year, relative to Minae Kawashima Minae Kawashima (= 1×) peers Aditya Ambati

Countries citing papers authored by Minae Kawashima

Since Specialization

Citations

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

Fields of papers citing papers by Minae Kawashima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minae Kawashima

This figure shows the co-authorship network connecting the top 25 collaborators of Minae Kawashima. A scholar is included among the top collaborators of Minae Kawashima 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 Minae Kawashima. Minae Kawashima 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

Namba, Shinichi, Masato Akiyama, Haruka Hamanoue, et al.. (2024). Inconsistent embryo selection across polygenic score methods. Nature Human Behaviour. 8(12). 2264–2267. 1 indexed citations

Khor, Seik‐Soon, Kazuko Ueno, Nao Nishida, et al.. (2023). Novel HLA allele associations with susceptibility, staging, symptomatic state, autoimmune hepatitis and hepatocellular carcinoma events for primary biliary cholangitis in the Japanese population. Frontiers in Immunology. 14. 1151502–1151502. 5 indexed citations

Hachiya, Tsuyoshi, Yosuke Kawai, Seik‐Soon Khor, et al.. (2022). The NBDC-DDBJ imputation server facilitates the use of controlled access reference panel datasets in Japan. Human Genome Variation. 9(1). 48–48. 1 indexed citations

Mitsuhashi, N, Licht Toyo-oka, Toshiaki Katayama, et al.. (2022). TogoVar: A comprehensive Japanese genetic variation database. Human Genome Variation. 9(1). 44–44. 14 indexed citations

Hitomi, Yuki, Yoshihiro Aiba, Kazuko Ueno, et al.. (2021). rs9459874 and rs1012656 in CCR6/FGFR1OP confer susceptibility to primary biliary cholangitis. Journal of Autoimmunity. 126. 102775–102775. 7 indexed citations

Aiba, Yoshihiro, Kenichi Harada, Masahiro Ito, et al.. (2018). Increased expression and altered localization of cathepsin Z are associated with progression to jaundice stage in primary biliary cholangitis. Scientific Reports. 8(1). 11808–11808. 7 indexed citations

Kido, Takashi, Minae Kawashima, Shinichi Kikuchi, et al.. (2018). Are minor alleles more likely to be risk alleles?. BMC Medical Genomics. 11(1). 3–3. 50 indexed citations

Yasunami, Michio, Hitomi Nakamura, Katsushi Tokunaga, et al.. (2017). Principal contribution of HLA-DQ alleles, DQB1*06:04 and DQB1*03:01, to disease resistance against primary biliary cholangitis in a Japanese population. Scientific Reports. 7(1). 11093–11093. 26 indexed citations

Hitomi, Yuki, Minae Kawashima, Yoshihiro Aiba, et al.. (2015). Human primary biliary cirrhosis-susceptible allele of rs4979462 enhances TNFSF15 expression by binding NF-1. Human Genetics. 134(7). 737–747. 18 indexed citations

10.

Liu, Xiaoxi, Minae Kawashima, Taku Miyagawa, et al.. (2015). Novel rare variations of the oxytocin receptor (OXTR) gene in autism spectrum disorder individuals. Human Genome Variation. 2(1). 15024–15024. 14 indexed citations

11.

Tamura, Mayuko, Tsuyoshi Isojima, Minae Kawashima, et al.. (2015). Detection of Hereditary 1,25-Hydroxyvitamin D-Resistant Rickets Caused by Uniparental Disomy of Chromosome 12 Using Genome-Wide Single Nucleotide Polymorphism Array. PLoS ONE. 10(7). e0131157–e0131157. 24 indexed citations

12.

Kido, Takashi, Minae Kawashima, Seiji Nishino, et al.. (2013). Systematic evaluation of personal genome services for Japanese individuals. Journal of Human Genetics. 58(11). 734–741. 7 indexed citations

13.

Miyagawa, Taku, Hiroko Miyadera, Susumu Tanaka, et al.. (2011). Abnormally Low Serum Acylcarnitine Levels in Narcolepsy Patients. SLEEP. 34(3). 349–353. 30 indexed citations

14.

Shimada, Mihoko, Taku Miyagawa, Minae Kawashima, et al.. (2010). An approach based on a genome-wide association study reveals candidate loci for narcolepsy. Human Genetics. 128(4). 433–441. 31 indexed citations

15.

Kawashima, Minae, Ling Lin, Susumu Tanaka, et al.. (2010). Anti-Tribbles Homolog 2 (TRIB2) Autoantibodies in Narcolepsy are Associated with Recent Onset of Cataplexy. SLEEP. 33(7). 869–874. 95 indexed citations

16.

Miyagawa, Taku, Makoto Honda, Minae Kawashima, et al.. (2009). Polymorphism Located between CPT1B and CHKB, and HLA-DRB1*1501-DQB1*0602 Haplotype Confer Susceptibility to CNS Hypersomnias (Essential Hypersomnia). PLoS ONE. 4(4). e5394–e5394. 21 indexed citations

17.

Miyagawa, Taku, Nao Nishida, Jun Ohashi, et al.. (2008). Appropriate data cleaning methods for genome-wide association study. Journal of Human Genetics. 53(10). 886–893. 30 indexed citations

18.

Shimada, Hiroko, Tsukasa Sasaki, Masaaki Ikeda, et al.. (2008). Establishment of human cell lines showing circadian rhythms of bioluminescence. Neuroscience Letters. 446(1). 40–44. 17 indexed citations

19.

Miyagawa, Taku, Minae Kawashima, Nao Nishida, et al.. (2008). Variant between CPT1B and CHKB associated with susceptibility to narcolepsy. Nature Genetics. 40(11). 1324–1328. 86 indexed citations

20.

Kawashima, Minae, Gen Tamiya, Akira Oka, et al.. (2006). Genomewide Association Analysis of Human Narcolepsy and a New Resistance Gene. The American Journal of Human Genetics. 79(2). 252–263. 46 indexed citations

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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