Eiji Nishio

437 total citations
29 papers, 300 citations indexed

About

Eiji Nishio is a scholar working on Epidemiology, Obstetrics and Gynecology and Surgery. According to data from OpenAlex, Eiji Nishio has authored 29 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Obstetrics and Gynecology and 6 papers in Surgery. Recurrent topics in Eiji Nishio's work include Endometrial and Cervical Cancer Treatments (5 papers), Cervical Cancer and HPV Research (5 papers) and Estrogen and related hormone effects (5 papers). Eiji Nishio is often cited by papers focused on Endometrial and Cervical Cancer Treatments (5 papers), Cervical Cancer and HPV Research (5 papers) and Estrogen and related hormone effects (5 papers). Eiji Nishio collaborates with scholars based in Japan and United States. Eiji Nishio's co-authors include Takuma Fujii, Aya Iwata, Ryoko Ichikawa, Tomonori Sawada, Hideaki Nishizawa, Yasuhiro Udagawa, Iwao Kukimoto, Hiroyuki Nomura, Naoki Yamamoto and Kiyoshi Hasegawa and has published in prestigious journals such as Scientific Reports, FEBS Journal and Oncotarget.

In The Last Decade

Eiji Nishio

27 papers receiving 293 citations

Peers

Eiji Nishio

SURGE

EPIDE

Aljoša Mandić Serbia

Doo Byung Chay South Korea

Yeke Wu China

Margaret Redpath Canada

Yumin Ke China

Luciano Mariani Italy

Julio Velasco Spain

D. Diesing Germany

Yao Fan China

Y. Torii Japan

Aljoša Mandić Serbia

Eiji Nishio

56 ×0.7

49 ×0.6

88 ×1.2

SURGE

91 ×1.3

EPIDE

66 ×1.5

Citations per year, relative to Eiji Nishio Eiji Nishio (= 1×) peers Aljoša Mandić

Countries citing papers authored by Eiji Nishio

Since Specialization

Citations

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

Fields of papers citing papers by Eiji Nishio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiji Nishio

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

Hayashi, Takanori, Tatsuya Kobayashi, Shizuko Nagao, et al.. (2025). Estrogen synthesized in the central nervous system enhances MC 4 R expression and reduces food intake. FEBS Journal. 292(15). 3900–3909. 1 indexed citations

Nishio, Eiji, et al.. (2025). Comparison of Single-port Robotic Surgery Using the Da Vinci SP Surgical System and Single-port Laparoscopic Surgery for Benign Indications. Gynecology and Minimally Invasive Therapy. 14(3). 229–233.

Kukimoto, Iwao, et al.. (2025). Distinct cervical microbiome and metabolite profiles before and after menopause: implications for cervical cancer progression. Frontiers in Cellular and Infection Microbiology. 15. 1589277–1589277. 1 indexed citations

Fujii, Takuma, Eiji Nishio, Tetsuya Tsukamoto, Iwao Kukimoto, & Aya Iwata. (2024). Performance of an ancillary test for cervical cancer that measures miRNAs and cytokines in serum and cervical mucus. Cancer Science. 115(8). 2795–2807. 3 indexed citations

Nishio, Eiji, et al.. (2024). Metabolomic and microbiome analysis of cervicovaginal mucus in in vitro fertilization–embryo transfer: Toward predicting pregnancy success. Reproductive Medicine and Biology. 23(1). e12568–e12568. 5 indexed citations

Kukimoto, Iwao, et al.. (2024). Cervical mucus can be used for metabolite screening in cervical cancer. Cancer Science. 115(11). 3672–3681. 2 indexed citations

Iwata, Aya, Iwao Kukimoto, Eiji Nishio, et al.. (2022). Nomogram for predicted probability of cervical cancer and its precursor lesions using miRNA in cervical mucus, HPV genotype and age. Scientific Reports. 12(1). 16231–16231. 4 indexed citations

Fujii, Takuma, Iwao Kukimoto, Hiroyuki Nomura, et al.. (2021). Changes to the cervicovaginal microbiota and cervical cytokine profile following surgery for cervical intraepithelial neoplasia. Scientific Reports. 11(1). 2156–2156. 18 indexed citations

Fujii, Takuma, Iwao Kukimoto, Naoki Yamamoto, et al.. (2019). Cytokine expression profiles in cervical mucus from patients with cervical cancer and its precursor lesions. Cytokine. 120. 210–219. 24 indexed citations

10.

Nishio, Eiji, Takanori Hayashi, Masashi Nakatani, et al.. (2019). Lack of association of ovariectomy-induced obesity with overeating and the reduction of physical activities. Biochemistry and Biophysics Reports. 20. 100671–100671. 14 indexed citations

11.

Kawai, Satoshi, Takuma Fujii, Iwao Kukimoto, et al.. (2018). Identification of miRNAs in cervical mucus as a novel diagnostic marker for cervical neoplasia. Scientific Reports. 8(1). 7070–7070. 39 indexed citations

12.

Hayashi, Takanori, et al.. (2018). Forskolin increases the effect of everolimus on aromatase inhibitor-resistant breast cancer cells. Oncotarget. 9(34). 23451–23461. 7 indexed citations

13.

Kurahashi, Hiroki, Takema Kato, Haruki Nishizawa, et al.. (2015). Preimplantation genetic diagnosis/screening by comprehensive molecular testing. Reproductive Medicine and Biology. 15(1). 13–19. 7 indexed citations

14.

Sekiya, Takao, et al.. (2014). Relationship between detection of the cervical gland area during the late third trimester and necessity for induction of labor to prevent post-term delivery. Journal of Medical Ultrasonics. 41(4). 463–471. 1 indexed citations

15.

Komiyama, Shinichi, et al.. (2012). Asymptomatic Synchronous Quintuple Primary Cancers. Gynecologic and Obstetric Investigation. 74(4). 324–328. 11 indexed citations

16.

Nishio, Eiji, et al.. (2010). Two cases of ectopic ovary and one case of potential ectopic ovary. Reproductive Medicine and Biology. 10(1). 51–54. 4 indexed citations

17.

Komiyama, Shinichi, Eiji Nishio, Y. Torii, et al.. (2010). A case of primary uterine cervical neuroendocrine tumor with meningeal carcinomatosis confirmed by diagnostic imaging and autopsy. International Journal of Clinical Oncology. 16(5). 581–586. 13 indexed citations

18.

Nishio, Eiji, et al.. (2006). Chemical removal of zona pellucida versus laser assisted hatching after repeated failures of assisted reproductive technology. Reproductive Medicine and Biology. 5(4). 263–267. 3 indexed citations

19.

Nishio, Eiji, et al.. (2005). Postoperative Adhesion Formation After Laparoscopic Uterine Horn Resection in a Porcine Model: Comparison of Five Instruments. Journal of Laparoendoscopic & Advanced Surgical Techniques. 15(6). 581–585. 9 indexed citations

20.

Kuroki, Jun, Kiyoshi Hasegawa, Ryuji Kato, et al.. (2003). Relationship between the classification of vascular invasion severity and the prognosis of uterine endometrial cancer. International Journal of Gynecological Cancer. 13(1). 47–52. 7 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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