Yoko Omoto

3.0k total citations
49 papers, 2.5k citations indexed

About

Yoko Omoto is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Yoko Omoto has authored 49 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Genetics, 19 papers in Cancer Research and 18 papers in Molecular Biology. Recurrent topics in Yoko Omoto's work include Estrogen and related hormone effects (30 papers), HER2/EGFR in Cancer Research (12 papers) and Breast Cancer Treatment Studies (10 papers). Yoko Omoto is often cited by papers focused on Estrogen and related hormone effects (30 papers), HER2/EGFR in Cancer Research (12 papers) and Breast Cancer Treatment Studies (10 papers). Yoko Omoto collaborates with scholars based in Japan, Sweden and United States. Yoko Omoto's co-authors include Hirotaka Iwase, Margaret Warner, Jan-Ακε Gustafsson, Shin‐ichi Hayashi, Otabek Imamov, Tatsuya Toyama, Hiroko Yamashita, Zhenhuan Zhang, Hiroshi Sugiura and Hidetaka Eguchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Yoko Omoto

49 papers receiving 2.5k citations

Peers

Countries citing papers authored by Yoko Omoto

Since Specialization

Citations

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

Fields of papers citing papers by Yoko Omoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoko Omoto

This figure shows the co-authorship network connecting the top 25 collaborators of Yoko Omoto. A scholar is included among the top collaborators of Yoko Omoto 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 Yoko Omoto. Yoko Omoto 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	Comparison of ESR1 Mutations in Tumor Tissue and Matched Plasma Samples from Metastatic Breast Cancer Patients 2017 ·Translational Oncology ·Takashi Takeshita, Yutaka Yamamoto, Mutsuko Yamamoto‐Ibusuki, Mai Tomiguchi, Aiko Sueta, Keiichi Murakami, Yoko Omoto, Hirotaka Iwase	31
2	Sex differences and effects of oestrogen in rat gastric mucosal defence 2017 ·World Journal of Gastroenterology ·(unknown), Håkan Björne, Yoko Omoto, Anna Siemiątkowska, Jan-Ακε Gustafsson, Mats Lindblad, Lena Holm	16
3	Prevalence of ESR1 E380Q mutation in tumor tissue and plasma from Japanese breast cancer patients 2017 ·BMC Cancer ·Takashi Takeshita, Yutaka Yamamoto, Mutsuko Yamamoto‐Ibusuki, Aiko Sueta, Mai Tomiguchi, Keiichi Murakami, Yoko Omoto, Hirotaka Iwase	15
4	Clinical significance of monitoring ESR1 mutations in circulating cell-free DNA in estrogen receptor positive breast cancer patients 2016 ·Oncotarget ·Takashi Takeshita, Yutaka Yamamoto, Mutsuko Yamamoto‐Ibusuki, (unknown), Aiko Sueta, Saori Fujiwara, Yoko Omoto, Hirotaka Iwase	47
5	Droplet digital polymerase chain reaction assay for screening of ESR1 mutations in 325 breast cancer specimens 2015 ·Translational research ·Takashi Takeshita, Yutaka Yamamoto, Mutsuko Yamamoto‐Ibusuki, (unknown), Aiko Sueta, Saori Fujiwara, Yoko Omoto, Hirotaka Iwase	52
6	PTIP Associated protein 1, PA1, Is an Independent Prognostic Factor for Lymphnode Negative Breast Cancer 2013 ·PLoS ONE ·Takashi Takeshita, Mutsuko Yamamoto‐Ibusuki, Yutaka Yamamoto, Yoko Omoto, Yumi Honda, Ken‐ichi Iyama, Zhenhuan Zhang, Hirotaka Iwase	4
7	Role of estrogen receptor β in colonic epithelium 2006 ·Proceedings of the National Academy of Sciences ·Osamu Wada‐Hiraike, Otabek Imamov, Haruko Hiraike, Kjell Hultenby, Thomas Schwend, Yoko Omoto, Margaret Warner, Jan-Ακε Gustafsson	202
8	Differential Regulation of Estrogen Receptor (ER)α and ERβ in Primate Mammary Gland 2005 ·The Journal of Clinical Endocrinology & Metabolism ·Guojun Cheng, Yan Li, Yoko Omoto, Yanling Wang, Tove Berg, Magnus Nord, Pirkko Vihko, Margaret Warner, (unknown), Jan-Åke Gustafsson	73
9	Differential expression of oestrogen receptors in human secondary lymphoid tissues 2005 ·The Journal of Pathology ·(unknown), (unknown), Hyun‐Jin Kim, Yoko Omoto, Hirotaka Iwase, Didier Bouton, Lóránd Kis, Christina Andersson, Margaret Warner, Jan-Ακε Gustafsson	62
10	Prediction of prognosis of estrogen receptor‐positive breast cancer with combination of selected estrogen‐regulated genes 2004 ·Cancer Science ·Nobuyuki Yoshida, Yoko Omoto, Akio Inoue, Hidetaka Eguchi, Yasuhito Kobayashi, Masafumi Kurosumi, Shigehira Saji, Kimito Suemasu, Tomoki Okazaki, Kei Nakachi, Toshiro Fujita, Shin‐ichi Hayashi	68
11	Estrogen and growth factor signaling pathway: basic approaches for clinical application 2003 ·The Journal of Steroid Biochemistry and Molecular Biology ·Shin‐ichi Hayashi, Takako Sakamoto, Akio Inoue, Nobuyuki Yoshida, Yoko Omoto, Yuri Yamaguchi	14
12	Estrogen receptor (ER) β1 and ERβcx/β2 inhibit ERα function differently in breast cancer cell line MCF7 2003 ·Oncogene ·Yoko Omoto, Hidetaka Eguchi, Yuri Yamamoto-Yamaguchi, Shin‐ichi Hayashi	110
13	A faithful method for PCR-mediated global mRNA amplification and its integration into microarray analysis on laser-captured cells 2003 ·Biochemical and Biophysical Research Communications ·Kazuhiko Aoyagi, (unknown), (unknown), Shingo Akimoto, Chikako Tanabe, Yoko Omoto, Shin‐ichi Hayashi, Hiromi Sakamoto, Michiie Sakamoto, Teruhiko Yoshida, Masaaki Terada, Hiroki Sasaki	78
14	Estrogen receptor α mutation (A-to-G transition at nucleotide 908) is not found in different types of breast lesions from japanese women 2003 ·Breast Cancer ·Zhenhuan Zhang, Hiroko Yamashita, Tatsuya Toyama, Yoko Omoto, Hiroshi Sugiura, Yasuo Hara, Nobuhiro Haruki, Shunzo Kobayashi, Hirotaka Iwase	16
15	Estrogen receptor-mediated effects of tamoxifen on human endometrial cancer cells 2002 ·Molecular and Cellular Endocrinology ·Takako Sakamoto, Hidetaka Eguchi, Yoko Omoto, Takuya Ayabe, Hiroyuki Mori, Shin‐ichi Hayashi	51
16	Reduced expression of the Syk gene is correlated with poor prognosis in human breast cancer 2002 ·Cancer Letters ·Tatsuya Toyama, Hirotaka Iwase, Hiroko Yamashita, Yasuo Hara, Yoko Omoto, Hiroshi Sugiura, Zhenhuan Zhang, Yoshitaka Fujii	78
17	A study of estrogen signaling using DNA microarray in human breast cancer 2002 ·Breast Cancer ·Yoko Omoto, Shin‐ichi Hayashi	11
18	Telomerase Activity Levels for Evaluating the Surgical Margin in Breast-Conserving Surgery 2001 ·Surgery Today ·Yasuo Hara, Hirotaka Iwase, Tatsuya Toyama, Hiroko Yamashita, Yoko Omoto, Yoshitaka Fujii, Shunzo Kobayashi	5
19	Comparison of five different antibodies in the immunohistochemical assay of estrogen receptor α in Human breast cancer 2000 ·Breast Cancer ·Shunzo Kobayashi, (unknown), Yukio Ando, Yoko Omoto, Tatsuya Toyama, Hirotaka Iwase	14
20	Microsatellite instability in in situ and invasive sporadic breast cancers of Japanese women 1996 ·Cancer Letters ·Tatsuya Toyama, Hirotaka Iwase, Hiroji Iwata, Yasuo Hara, Yoko Omoto, Mariko Suchi, Taiji Kato, Takaaki Nakamura, (unknown)	19

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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