Mamiko Noda

2.9k total citations · 1 hit paper
8 papers, 2.2k citations indexed

About

Mamiko Noda is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Mamiko Noda has authored 8 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Mamiko Noda's work include Chemokine receptors and signaling (5 papers), Immunotherapy and Immune Responses (2 papers) and T-cell and B-cell Immunology (2 papers). Mamiko Noda is often cited by papers focused on Chemokine receptors and signaling (5 papers), Immunotherapy and Immune Responses (2 papers) and T-cell and B-cell Immunology (2 papers). Mamiko Noda collaborates with scholars based in Japan, United Kingdom and Pakistan. Mamiko Noda's co-authors include Takashi Nagasawa, Tatsuki Sugiyama, Hiroshi Kohara, Yoshiki Omatsu, Nobutaka Fujii, Michelle L. Janas, Martin Turner, Gabriele Varano, Kristjan S. Gudmundsson and Shinya Oishi and has published in prestigious journals such as Nucleic Acids Research, The Journal of Experimental Medicine and Blood.

In The Last Decade

Mamiko Noda

8 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Maintenance of the Hematopoietic Stem Cell Pool by CXCL12-CXCR4 Chemokine Signaling in Bone Marrow Stromal Cell Niches

2006 1.8k citations Tatsuki Sugiyama, Hiroshi Kohara et al. Immunity profile →

Peers

Countries citing papers authored by Mamiko Noda

Since Specialization

Citations

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

Fields of papers citing papers by Mamiko Noda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mamiko Noda

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

All Works

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8 of 8 papers shown

#	Work	Indexed citations
1	L1 marginalisation in Japan: monolingual instrumentalism and the discursive shift against yakudoku in the Japanese government’s Course of Study 2019 ·Current Issues in Language Planning ·Mamiko Noda, John P. O’Regan	6
2	Cancer-associated mutations of histones H2B, H3.1 and H2A.Z.1 affect the structure and stability of the nucleosome 2018 ·Nucleic Acids Research ·Yasuhiro Arimura, Masae Ikura, Risa Fujita, Mamiko Noda, Wataru Kobayashi, Naoki Horikoshi, Jiying Sun, Lin Shi, Masayuki Kusakabe, Masahiko Harata, Yasuyuki Ohkawa, Satoshi Tashiro, Hiroshi Kimurâ, Tsuyoshi Ikura, Hitoshi Kurumizaka	76
3	CXCL12-CXCR4 chemokine signaling is essential for NK-cell development in adult mice 2010 ·Blood ·Mamiko Noda, Yoshiki Omatsu, Tatsuki Sugiyama, Shinya Oishi, Nobutaka Fujii, Takashi Nagasawa	101
4	DOCK180 Is a Rac Activator That Regulates Cardiovascular Development by Acting Downstream of CXCR4 2010 ·Circulation Research ·Fumiyuki Sanematsu, Masanori Hirashima, Mélanie Laurin, Ryosuke Takii, Akihiko Nishikimi, Keiko Kitajima, Guo Ding, Mamiko Noda, Yuzo Murata, Yoshihiko Tanaka, Sadahiko Masuko, Toshio Suda, Chikara Meno, Jean‐François Côté, Takashi Nagasawa, Yoshinori Fukui	42
5	Thymic development beyond β-selection requires phosphatidylinositol 3-kinase activation by CXCR4 2009 ·The Journal of Experimental Medicine ·Michelle L. Janas, Gabriele Varano, Kristjan S. Gudmundsson, Mamiko Noda, Takashi Nagasawa, Martin Turner	117
6	Oral Administration of a Heat-Killed Cell Preparation ofEnterococcus faecalisStrain EC-12 Stimulates the Gene Expression of Na⁺–K⁺–2Cl⁻Co-Transporter 1 in Rat Ileal Epithelial Cells 2007 ·Bioscience Biotechnology and Biochemistry ·Ryo Inoüe, Takamitsu Tsukahara, Mamiko Noda, (unknown), Noritaka MATSUBARA, Kazunari Ushida	5
7	Development of plasmacytoid dendritic cells in bone marrow stromal cell niches requires CXCL12-CXCR4 chemokine signaling 2007 ·Blood ·Hiroshi Kohara, Yoshiki Omatsu, Tatsuki Sugiyama, Mamiko Noda, Nobutaka Fujii, Takashi Nagasawa	69
8	Maintenance of the Hematopoietic Stem Cell Pool by CXCL12-CXCR4 Chemokine Signaling in Bone Marrow Stromal Cell Niches breakdown → 2006 ·Immunity ·Tatsuki Sugiyama, Hiroshi Kohara, Mamiko Noda, Takashi Nagasawa	1796

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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