Mariko Ikeda

1.1k total citations
57 papers, 860 citations indexed

About

Mariko Ikeda is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Mariko Ikeda has authored 57 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Biomedical Engineering and 13 papers in Surgery. Recurrent topics in Mariko Ikeda's work include 3D Printing in Biomedical Research (14 papers), Liver physiology and pathology (9 papers) and Angiogenesis and VEGF in Cancer (9 papers). Mariko Ikeda is often cited by papers focused on 3D Printing in Biomedical Research (14 papers), Liver physiology and pathology (9 papers) and Angiogenesis and VEGF in Cancer (9 papers). Mariko Ikeda collaborates with scholars based in Japan, United States and South Korea. Mariko Ikeda's co-authors include Kazuo Tanishita, Ryo Sudo, Toshihiro Mitaka, Mitsuki Yoneda, Y. Watanabe, Susumu KUDO, Takashi Uesugi, Ryuhei YAMAGUCHI, Shinichi Nemoto and Kotaro Oka and has published in prestigious journals such as PLoS ONE, Biomaterials and The FASEB Journal.

In The Last Decade

Mariko Ikeda

53 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mariko Ikeda Japan 16 295 270 200 152 129 57 860
Jinxia Wang China 20 67 0.2× 560 2.1× 423 2.1× 66 0.4× 95 0.7× 54 1.2k
Yu-Chun Lin Taiwan 18 195 0.7× 347 1.3× 107 0.5× 342 2.3× 26 0.2× 32 1.1k
Franck Zal France 18 71 0.2× 174 0.6× 250 1.3× 289 1.9× 18 0.1× 33 662
Jia‐Ning Wang China 18 80 0.3× 476 1.8× 118 0.6× 52 0.3× 46 0.4× 51 972
Chaofeng Wang China 20 151 0.5× 357 1.3× 121 0.6× 111 0.7× 91 0.7× 75 1.1k
Hao Xu China 18 59 0.2× 513 1.9× 162 0.8× 51 0.3× 21 0.2× 126 1.1k
Jean‐Charles Isner United Kingdom 20 102 0.3× 791 2.9× 215 1.1× 97 0.6× 59 0.5× 25 1.7k
Wen Ding United States 19 26 0.1× 573 2.1× 99 0.5× 103 0.7× 43 0.3× 33 1.1k
Yibin Chen China 17 52 0.2× 901 3.3× 132 0.7× 64 0.4× 79 0.6× 59 1.4k
Vittorio Bertone Italy 14 64 0.2× 164 0.6× 334 1.7× 55 0.4× 45 0.3× 46 896

Countries citing papers authored by Mariko Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Mariko Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariko Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Mariko Ikeda. A scholar is included among the top collaborators of Mariko Ikeda 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 Mariko Ikeda. Mariko Ikeda 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.
Ikeda, Mariko, Yasuyuki Negishi, Go Ichikawa, et al.. (2024). Downregulation of pattern recognition receptors on macrophages involved in aggravation of endometriosis. American Journal of Reproductive Immunology. 91(1). e13812–e13812. 8 indexed citations
2.
Ichikawa, Go, et al.. (2024). Oxidative Stress and Antioxidant Capacity in Patients with Endometrioma. Journal of Nippon Medical School. 91(2). 146–154.
3.
Ikeda, Mariko, Yasuyuki Negishi, Shigeo Akira, Rimpei Morita, & Toshiyuki Takeshita. (2021). Inflammation related to high-mobility group box-1 in endometrial ovarian cyst. Journal of Reproductive Immunology. 145. 103292–103292. 6 indexed citations
4.
Takahashi, Tsuyoshi, Sotaro Sadahiro, Kazuhiro Sakamoto, et al.. (2020). 408P A prospective controlled trial of the efficacy of uracil and tegafur/leucovorin for stage II colon cancer with risk factors for recurrence using propensity score-based methods (JFMC46-1201). Annals of Oncology. 31. S414–S415. 1 indexed citations
5.
Takekuma, Munetaka, Fumiaki Takahashi, Seiji Mabuchi, et al.. (2020). Propensity score-matched analysis of systemic chemotherapy versus salvage hysterectomy for persistent cervical cancer after definitive radiotherapy/concurrent chemoradiotherapy. BMC Cancer. 20(1). 1169–1169. 6 indexed citations
6.
Kaneko, Tomohiro, et al.. (2015). Comparison of immunosuppressive therapies for IgA nephropathy after tonsillectomy: three-course versus one-course steroid pulse combined with mizoribine. International Urology and Nephrology. 47(11). 1823–1830. 2 indexed citations
7.
Abe, Yoshinori, Kimiko Yamamoto, Joji Ando, et al.. (2013). Endothelial Progenitor Cells Promote Directional Three-Dimensional Endothelial Network Formation by Secreting Vascular Endothelial Growth Factor. PLoS ONE. 8(12). e82085–e82085. 26 indexed citations
8.
Sudo, Ryo, et al.. (2012). Spatio-Temporal Control of Hepatic Stellate Cell–Endothelial Cell Interactions for Reconstruction of Liver Sinusoids In Vitro. Tissue Engineering Part A. 18(9-10). 1045–1056. 15 indexed citations
9.
10.
Sudo, Ryo, et al.. (2010). Hepatic Stellate Cell-Mediated Three-Dimensional Hepatocyte and Endothelial Cell Triculture Model. Tissue Engineering Part A. 17(3-4). 361–370. 40 indexed citations
11.
Sudo, Ryo, Yoshinori Abe, Kimiko Yamamoto, et al.. (2009). Contribution of Rat Endothelial Progenitor Cells on Three-Dimensional Network Formation In Vitro. Tissue Engineering Part A. 15(9). 2727–2739. 10 indexed citations
12.
Hashimoto, Wataru, et al.. (2008). Ductular Network Formation by Rat Biliary Epithelial Cells in the Dynamical Culture with Collagen Gel and Dimethylsulfoxide Stimulation. American Journal Of Pathology. 173(2). 494–506. 23 indexed citations
13.
KUDO, Susumu, Ryuhei YAMAGUCHI, Mariko Ikeda, & Kazuo Tanishita. (2005). Effect of Fluid Force on Vascular Cell Function. Journal of PHYSIOLOGICAL ANTHROPOLOGY and Applied Human Science. 24(4). 459–461. 1 indexed citations
14.
Sudo, Ryo, Hiroshi Kohara, Toshihiro Mitaka, Mariko Ikeda, & Kazuo Tanishita. (2005). Coordinated Movement of Bile Canalicular Networks Reconstructed by Rat Small Hepatocytes. Annals of Biomedical Engineering. 33(5). 696–708. 13 indexed citations
15.
Ikeda, Mariko, et al.. (2004). Manserin, a novel peptide from secretogranin II in the neuroendocrine system. Neuroreport. 15(11). 1755–1759. 28 indexed citations
16.
Ikeda, Mariko, et al.. (2004). Effect of shear stress on microvessel network formation of endothelial cells with in vitro three-dimensional model. American Journal of Physiology-Heart and Circulatory Physiology. 287(3). H994–H1002. 59 indexed citations
17.
Ikeda, Mariko, et al.. (2004). Effect of glycocalyx on shear-dependent albumin uptake in endothelial cells. American Journal of Physiology-Heart and Circulatory Physiology. 287(5). H2287–H2294. 65 indexed citations
18.
KUDO, Susumu, Ryoma Morigaki, Junichi Saito, et al.. (2000). Shear-Stress Effect on Mitochondrial Membrane Potential and Albumin Uptake in Cultured Endothelial Cells. Biochemical and Biophysical Research Communications. 270(2). 616–621. 26 indexed citations
19.
KUDO, Susumu, et al.. (1997). Albumin concentration profile inside cultured endothelial cells exposed to shear stress. 35. 547–548. 3 indexed citations
20.
Yoneda, Mitsuki, et al.. (1978). PERIODIC CHANGE IN THE TENSION AT THE SURFACE OF ACTIVATED NON‐NUCLEATE FRAGMENTS OF SEA‐URCHIN EGGS. Development Growth & Differentiation. 20(4). 329–336. 82 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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