Miki Hashimura

1.8k total citations
56 papers, 1.4k citations indexed

About

Miki Hashimura is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Miki Hashimura has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 20 papers in Oncology and 11 papers in Cancer Research. Recurrent topics in Miki Hashimura's work include Wnt/β-catenin signaling in development and cancer (12 papers), Cancer Cells and Metastasis (9 papers) and Cancer-related gene regulation (9 papers). Miki Hashimura is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (12 papers), Cancer Cells and Metastasis (9 papers) and Cancer-related gene regulation (9 papers). Miki Hashimura collaborates with scholars based in Japan and United States. Miki Hashimura's co-authors include Makoto Saegusa, Isao Okayasu, Takeshi Kuwata, Tsutomu Yoshida, Toshihide Matsumoto, Yasuko Oguri, Daisuke Machida, Ako Yokoi, Y Takano and Hisako Inoue and has published in prestigious journals such as PLoS ONE, Cancer and Scientific Reports.

In The Last Decade

Miki Hashimura

55 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Miki Hashimura Japan 23 731 396 255 209 169 56 1.4k
Tatsuyuki Chiyoda Japan 19 503 0.7× 339 0.9× 224 0.9× 134 0.6× 69 0.4× 57 1.0k
Jolanta Kupryjańczyk Poland 23 839 1.1× 485 1.2× 472 1.9× 137 0.7× 118 0.7× 70 1.7k
Jan Böhm Finland 22 478 0.7× 717 1.8× 304 1.2× 103 0.5× 205 1.2× 70 1.4k
Els Van Nieuwenhuysen Belgium 20 372 0.5× 559 1.4× 325 1.3× 227 1.1× 180 1.1× 99 1.3k
Keisuke Kurose Japan 14 634 0.9× 312 0.8× 310 1.2× 111 0.5× 93 0.6× 30 1.0k
Yvonne T.M. Tsang United States 18 533 0.7× 329 0.8× 211 0.8× 89 0.4× 166 1.0× 24 1.2k
Karen D. Cowden Dahl United States 15 678 0.9× 277 0.7× 432 1.7× 124 0.6× 141 0.8× 26 1.1k
Gunnar Wrobel Germany 19 758 1.0× 275 0.7× 287 1.1× 45 0.2× 180 1.1× 21 1.5k
Rafael Pieretti‐Vanmarcke United States 14 602 0.8× 726 1.8× 253 1.0× 41 0.2× 81 0.5× 24 1.4k
Gwangil Kim South Korea 20 919 1.3× 478 1.2× 572 2.2× 38 0.2× 352 2.1× 64 1.6k

Countries citing papers authored by Miki Hashimura

Since Specialization
Citations

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

Fields of papers citing papers by Miki Hashimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miki Hashimura

This figure shows the co-authorship network connecting the top 25 collaborators of Miki Hashimura. A scholar is included among the top collaborators of Miki Hashimura 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 Miki Hashimura. Miki Hashimura 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.
Harada, Yohei, Yasuko Oguri, Miki Hashimura, et al.. (2024). S100A4 contributes to colorectal carcinoma aggressive behavior and to chemoradiotherapy resistance in locally advanced rectal carcinoma. Scientific Reports. 14(1). 31338–31338. 2 indexed citations
2.
Oguri, Yasuko, Miki Hashimura, Ako Yokoi, et al.. (2023). EBP50 Depletion and Nuclear β-Catenin Accumulation Engender Aggressive Behavior of Colorectal Carcinoma through Induction of Tumor Budding. Cancers. 16(1). 183–183. 3 indexed citations
3.
Yokoi, Ako, Miki Hashimura, Yasuko Oguri, et al.. (2023). A Complex Interplay between Notch Effectors and β-Catenin Signaling in Morular Differentiation of Endometrial Carcinoma Cells. American Journal Of Pathology. 194(3). 459–470. 1 indexed citations
4.
Yokoi, Ako, Miki Hashimura, Toshihide Matsumoto, et al.. (2022). A functional role of S100A4/non-muscle myosin IIA axis for pro-tumorigenic vascular functions in glioblastoma. Cell Communication and Signaling. 20(1). 46–46. 8 indexed citations
5.
Takahashi, Hiroyuki, Miki Hashimura, Toshihide Matsumoto, et al.. (2022). A combination of stromal PD‐L1 and tumoral nuclear β‐catenin expression as an indicator of colorectal carcinoma progression and resistance to chemoradiotherapy in locally advanced rectal carcinoma. The Journal of Pathology Clinical Research. 8(5). 458–469. 13 indexed citations
6.
Matsumoto, Toshihide, Yoshinori Hasegawa, Miki Hashimura, et al.. (2021). Anaplastic Lymphoma Kinase Overexpression Is Associated with Aggressive Phenotypic Characteristics of Ovarian High-Grade Serous Carcinoma. American Journal Of Pathology. 191(10). 1837–1850. 12 indexed citations
7.
Matsumoto, Toshihide, et al.. (2020). Requirements of LEFTY and Nodal overexpression for tumor cell survival under hypoxia in glioblastoma. Molecular Carcinogenesis. 59(12). 1409–1419. 6 indexed citations
8.
Oguri, Yasuko, Miki Hashimura, Ryo Konno, et al.. (2019). S100A4/non-muscle myosin II signaling regulates epithelial-mesenchymal transition and stemness in uterine carcinosarcoma. Laboratory Investigation. 100(5). 682–695. 28 indexed citations
9.
Hashimura, Miki, et al.. (2017). ALK signaling cascade confers multiple advantages to glioblastoma cells through neovascularization and cell proliferation. PLoS ONE. 12(8). e0183516–e0183516. 23 indexed citations
10.
11.
Yoshida, Tsutomu, et al.. (2013). Transcriptional upregulation of HIF-1α by NF-κB/p65 and its associations with β-catenin/p300 complexes in endometrial carcinoma cells. Laboratory Investigation. 93(11). 1184–1193. 47 indexed citations
12.
Takahashi, Hiroyuki, et al.. (2012). Mixed angiosarcoma, clear cell adenocarcinoma and mature teratoma elements in an ovarian tumor: A case report and literature review. Pathology International. 62(8). 538–542. 11 indexed citations
13.
Saegusa, Makoto, Miki Hashimura, & Takeshi Kuwata. (2012). Sox4 functions as a positive regulator of β-catenin signaling through upregulation of TCF4 during morular differentiation of endometrial carcinomas. Laboratory Investigation. 92(4). 511–521. 41 indexed citations
14.
Saegusa, Makoto, et al.. (2007). A functional role of Cdx2 in β-catenin signaling during transdifferentiation in endometrial carcinomas. Carcinogenesis. 28(9). 1885–1892. 24 indexed citations
15.
16.
Saegusa, Makoto, Takeshi Kuwata, Tsutomu Yoshida, et al.. (2003). Up‐regulation and nuclear localization of β‐catenin in endometrial carcinoma in response to progesterone therapy. Cancer Science. 94(1). 103–111. 14 indexed citations
17.
Saegusa, Makoto, Daisuke Machida, Miki Hashimura, & Isao Okayasu. (1999). CD44 expression in benign, premalignant, and malignant ovarian neoplasms: relation to tumour development and progression. The Journal of Pathology. 189(3). 326–337. 39 indexed citations
18.
Saegusa, Makoto, Miki Hashimura, Atsuko Hara, & Isao Okayasu. (1999). Loss of expression of the gene deleted in colon carcinoma (DCC) is closely related to histologic differentiation and lymph node metastasis in endometrial carcinoma. Cancer. 85(2). 453–464. 21 indexed citations
19.
20.
Saegusa, Makoto, et al.. (1995). The possible role of bcl–2 expression in the progression of tumors of the uterine cervix. Cancer. 76(11). 2297–2303. 68 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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