Ai Higashijima

711 total citations
20 papers, 580 citations indexed

About

Ai Higashijima is a scholar working on Immunology, Obstetrics and Gynecology and Cancer Research. According to data from OpenAlex, Ai Higashijima has authored 20 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 12 papers in Obstetrics and Gynecology and 9 papers in Cancer Research. Recurrent topics in Ai Higashijima's work include Reproductive System and Pregnancy (13 papers), Pregnancy and preeclampsia studies (12 papers) and MicroRNA in disease regulation (8 papers). Ai Higashijima is often cited by papers focused on Reproductive System and Pregnancy (13 papers), Pregnancy and preeclampsia studies (12 papers) and MicroRNA in disease regulation (8 papers). Ai Higashijima collaborates with scholars based in Japan. Ai Higashijima's co-authors include Shoko Miura, Kiyonori Miura, Hideaki Masuzaki, Akira Kinoshita, Koh-ichiro Yoshiura, Kentaro Yamasaki, Shuhei Abe, Hiroyuki Mishima, Yuri Hasegawa and Masanori Kaneuchi and has published in prestigious journals such as Clinical Chemistry, Fertility and Sterility and Gynecologic Oncology.

In The Last Decade

Ai Higashijima

20 papers receiving 572 citations

Peers

Ai Higashijima
Toshiyuki Takeshita Japan
Shuhei Abe Japan
Jindrich Doucha Czechia
Yan-Li Dang China
Nuria Balaguer Spain
Matat Dushnik Israel
Joanne Dai United States
Evangelos Ntrivalas United States
Gracy X. Rosario India
Ieva Masliukaitė Netherlands
Toshiyuki Takeshita Japan
Ai Higashijima
Citations per year, relative to Ai Higashijima Ai Higashijima (= 1×) peers Toshiyuki Takeshita

Countries citing papers authored by Ai Higashijima

Since Specialization
Citations

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

Fields of papers citing papers by Ai Higashijima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ai Higashijima

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

All Works

20 of 20 papers shown
1.
Miura, Koh, Yuzo Hasegawa, Miko Yamada, et al.. (2018). Expression levels of C19MC and C14MC microRNAs in complete hydatidiform moles and ovarian mature cystic teratomas. European Journal of Gynaecological Oncology. 39(2). 277–280. 1 indexed citations
2.
Murakami, Yuko, Kiyonori Miura, Shuntaro Sato, et al.. (2018). Reference values for circulating pregnancy‐associated microRNAs in maternal plasma and their clinical usefulness in uncomplicated pregnancy and hypertensive disorder of pregnancy. Journal of obstetrics and gynaecology research. 44(5). 840–851. 8 indexed citations
3.
Miura, Kiyonori, Ai Higashijima, Yuko Murakami, et al.. (2016). Circulating Levels of Pregnancy-Associated, Placenta-Specific microRNAs in Pregnant Women With Placental Abruption. Reproductive Sciences. 24(1). 148–155. 18 indexed citations
4.
Miura, Kiyonori, Hiroyuki Mishima, Michio Yasunami, et al.. (2016). A significant association between rs8067378 at 17q12 and invasive cervical cancer originally identified by a genome-wide association study in Han Chinese is replicated in a Japanese population. Journal of Human Genetics. 61(9). 793–796. 11 indexed citations
5.
Hasegawa, Yuri, Kiyonori Miura, Ai Higashijima, et al.. (2016). Circulating levels of C19MC-cluster microRNAs in pregnant women with abruptio placenta. Placenta. 46. 114–114. 1 indexed citations
6.
Miura, Kiyonori, Ai Higashijima, Hiroyuki Mishima, et al.. (2015). Pregnancy-associated microRNAs in plasma as potential molecular markers of ectopic pregnancy. Fertility and Sterility. 103(5). 1202–1208.e1. 25 indexed citations
7.
Hasegawa, Yuri, Kiyonori Miura, Ai Higashijima, et al.. (2015). Increased Levels of Cell-Free miR-517a and Decreased Levels of Cell-Free miR-518b in Maternal Plasma Samples From Placenta Previa Pregnancies at 32 Weeks of Gestation. Reproductive Sciences. 22(12). 1569–1576. 10 indexed citations
8.
Miura, Kiyonori, Ai Higashijima, Yuko Murakami, et al.. (2015). Circulating chromosome 19 miRNA cluster microRNAs in pregnant women with severe pre‐eclampsia. Journal of obstetrics and gynaecology research. 41(10). 1526–1532. 45 indexed citations
9.
Miura, Kiyonori, Hiroyuki Mishima, Shuhei Abe, et al.. (2014). Identification of endometrioid endometrial carcinoma-associated microRNAs in tissue and plasma. Gynecologic Oncology. 132(3). 715–721. 79 indexed citations
10.
Abe, Shuhei, Kiyonori Miura, Akira Kinoshita, et al.. (2014). Single human papillomavirus 16 or 52 infection and later cytological findings in Japanese women with NILM or ASC-US. Journal of Human Genetics. 59(5). 251–255. 1 indexed citations
11.
Miura, Kiyonori, Shuntaro Abe, Ai Higashijima, et al.. (2014). Circulating levels of maternal plasma cell-free pregnancy-associated placenta-specific microRNAs are associated with placental weight. Placenta. 35(10). 848–851. 17 indexed citations
12.
13.
Miura, Kiyonori, Ai Higashijima, Shuhei Abe, et al.. (2014). Effect of labor on plasma concentrations and postpartum clearance of cell-free, pregnancy-associated, placenta-specific microRNAs. Prenatal Diagnosis. 35(1). 44–50. 14 indexed citations
14.
Miura, Kiyonori, Ai Higashijima, Yuri Hasegawa, et al.. (2014). Circulating levels of maternal plasma cell‐free miR‐21 are associated with maternal body mass index and neonatal birth weight. Prenatal Diagnosis. 35(5). 509–511. 3 indexed citations
15.
Yoshida, Atsushi, Kiyonori Miura, Yuri Hasegawa, et al.. (2013). A case of placenta previa accreta successfully treated by open infrarenal aortic clamping. Acta medica Nagasakiensia. 58(3). 93–95. 1 indexed citations
16.
Abe, Shuhei, Kiyonori Miura, Akira Kinoshita, et al.. (2013). Copy number variation of the antimicrobial-gene, defensin beta 4, is associated with susceptibility to cervical cancer. Journal of Human Genetics. 58(5). 250–253. 19 indexed citations
17.
Miura, Kiyonori, Ai Higashijima, Shoko Miura, et al.. (2013). Predominantly placenta‐expressed mRNAs in maternal plasma as predictive markers for twin–twin transfusion syndrome. Prenatal Diagnosis. 34(4). 345–349. 7 indexed citations
18.
Higashijima, Ai, Kiyonori Miura, Hiroyuki Mishima, et al.. (2013). Characterization of placenta‐specific microRNAs in fetal growth restriction pregnancy. Prenatal Diagnosis. 33(3). 214–222. 123 indexed citations
19.
Miura, Kiyonori, Ai Higashijima, Takako Shimada, et al.. (2011). Clinical application of fetal sex determination using cell-free fetal DNA in pregnant carriers of X-linked genetic disorders. Journal of Human Genetics. 56(4). 296–299. 13 indexed citations
20.
Miura, Kiyonori, Shoko Miura, Kentaro Yamasaki, et al.. (2010). Identification of Pregnancy-Associated MicroRNAs in Maternal Plasma. Clinical Chemistry. 56(11). 1767–1771. 172 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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