Maki Touma

1.3k total citations
28 papers, 1.1k citations indexed

About

Maki Touma is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Maki Touma has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 7 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Maki Touma's work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (14 papers) and Immunotherapy and Immune Responses (5 papers). Maki Touma is often cited by papers focused on Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (14 papers) and Immunotherapy and Immune Responses (5 papers). Maki Touma collaborates with scholars based in Japan, United States and China. Maki Touma's co-authors include Ellis L. Reinherz, Zhenyu Sun, Gerhard Wagner, Koh Takeuchi, Sun Taek Kim, Amr Fahmy, Matthew J. Lang, Carlos E. Castro, Tetsuro Sasada and Linda K. Clayton and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Molecular Cell.

In The Last Decade

Maki Touma

28 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maki Touma Japan 14 688 298 218 149 142 28 1.1k
Elizabeth Motunrayo Kolawole United States 17 743 1.1× 231 0.8× 252 1.2× 71 0.5× 45 0.3× 41 1.1k
Ruth M. Risueño Spain 16 492 0.7× 797 2.7× 204 0.9× 123 0.8× 78 0.5× 36 1.4k
Konstantin Knoblich United States 15 708 1.0× 447 1.5× 509 2.3× 104 0.7× 50 0.4× 19 1.4k
Lee Kim Swee Germany 17 787 1.1× 488 1.6× 240 1.1× 36 0.2× 73 0.5× 27 1.4k
Sten Braesch‐Andersen Sweden 15 763 1.1× 503 1.7× 120 0.6× 50 0.3× 27 0.2× 21 1.2k
Dmitriy Kedrin United States 15 270 0.4× 502 1.7× 569 2.6× 77 0.5× 281 2.0× 21 1.3k
Emiko Mihara Japan 16 229 0.3× 905 3.0× 188 0.9× 67 0.4× 44 0.3× 29 1.4k
Jason W. Pyrdol United States 19 1.9k 2.7× 601 2.0× 742 3.4× 57 0.4× 89 0.6× 22 2.4k
Aldo Borroto Spain 18 609 0.9× 365 1.2× 329 1.5× 43 0.3× 36 0.3× 29 1.1k
Byron B. Au‐Yeung United States 17 1.1k 1.6× 368 1.2× 423 1.9× 33 0.2× 30 0.2× 27 1.5k

Countries citing papers authored by Maki Touma

Since Specialization
Citations

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

Fields of papers citing papers by Maki Touma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maki Touma

This figure shows the co-authorship network connecting the top 25 collaborators of Maki Touma. A scholar is included among the top collaborators of Maki Touma 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 Maki Touma. Maki Touma 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.
Touma, Maki, et al.. (2018). MicroRNA‐342 inhibits tumor growth via targeting chemokine CXCL12 involved in macrophages recruitment/activation. Genes to Cells. 23(12). 1009–1022. 11 indexed citations
2.
Saito, Tsubasa, Masato Fujii, Yoshihiro Kushida, et al.. (2015). Induction of autoimmune gastritis by neonatal thymectomy requires autoantibodies and is prevented by anti-FcγR antibodies. Cellular Immunology. 300. 1–8. 1 indexed citations
3.
Kushida, Yoshihiro, et al.. (2014). Population doublings of murine CD4+ memory T cells during continuous antigen stimulation in vivo. Cellular Immunology. 292(1-2). 45–52. 2 indexed citations
4.
Hirose, Satoshi, Maki Touma, Yoshinori Katsuragi, et al.. (2014). Bcl11b prevents the intrathymic development of innate CD8 T cells in a cell intrinsic manner. International Immunology. 27(4). 205–215. 15 indexed citations
5.
Huang, Zhijun, et al.. (2014). Enhancement of phagocytosis and cytotoxicity in macrophages by tumor-derived IL-18 stimulation. BMB Reports. 47(5). 286–291. 20 indexed citations
6.
Kushida, Yoshihiro, et al.. (2013). Limited Immune Diversity in Urodela: Chronic Transplantation Responses Occur Even with Family-disparate Xenografts. ZOOLOGICAL SCIENCE. 30(7). 577–584. 4 indexed citations
7.
Sugimoto, Kenkichi, et al.. (2013). Role of FGF10 on tumorigenesis by MS‐K. Genes to Cells. 19(2). 112–125. 12 indexed citations
8.
Kushida, Yoshihiro, et al.. (2012). T cells affect thymic involution during puberty by inducing regression of the adrenal reticularis. The Journal of Physiological Sciences. 62(3). 173–184. 4 indexed citations
9.
Ikeda, Toru, et al.. (2011). Effect of vegf gene knockdown on growth of the murine sarcoma cell line MS-K. Genes to Cells. 16(6). 625–638. 5 indexed citations
10.
Zhang, Zhiping, Songsak Tongchusak, Yo Mizukami, et al.. (2011). Induction of anti-tumor cytotoxic T cell responses through PLGA-nanoparticle mediated antigen delivery. Biomaterials. 32(14). 3666–3678. 192 indexed citations
11.
Touma, Maki, et al.. (2011). Impaired B Cell Development and Function in the Absence of IκBNS. The Journal of Immunology. 187(8). 3942–3952. 35 indexed citations
12.
Kim, Sun Taek, Koh Takeuchi, Zhenyu Sun, et al.. (2009). The αβ T Cell Receptor Is an Anisotropic Mechanosensor. Journal of Biological Chemistry. 284(45). 31028–31037. 316 indexed citations
13.
Touma, Maki, Zhenyu Sun, Linda K. Clayton, et al.. (2007). Importance of the CD3γ Ectodomain Terminal β-Strand and Membrane Proximal Stalk in Thymic Development and Receptor Assembly. The Journal of Immunology. 178(6). 3668–3679. 20 indexed citations
14.
Touma, Maki, V. Antonini, Manoj Kumar, et al.. (2007). Functional Role for IκBNS in T Cell Cytokine Regulation As Revealed by Targeted Gene Disruption. The Journal of Immunology. 179(3). 1681–1692. 42 indexed citations
15.
Touma, Maki, Hsiu‐Ching Chang, Tetsuro Sasada, et al.. (2006). The TCR Cβ FG Loop Regulates αβ T Cell Development. The Journal of Immunology. 176(11). 6812–6823. 38 indexed citations
16.
Sasada, Tetsuro, Yuting Yang, Char‐Chang Lai, et al.. (2003). Disparate peptide‐dependent thymic selection outcomes in β2M‐deficient mice versus TAP‐1‐deficient mice: implications for repertoire formation. European Journal of Immunology. 33(2). 368–380. 2 indexed citations
17.
Wang, Wenjing, Yuanjun Gu, Yasuhiko Tabata, et al.. (2002). REVERSAL OF DIABETES IN MICE BY XENOTRANSPLANTATION OF A BIOARTIFICIAL PANCREAS IN A PREVASCULARIZED SUBCUTANEOUS SITE1. Transplantation. 73(1). 122–129. 65 indexed citations
18.
Fiorini, Emma, Ingo Schmitz, Wilfred E. Marissen, et al.. (2002). Peptide-Induced Negative Selection of Thymocytes Activates Transcription of an NF-ΚB Inhibitor. Molecular Cell. 9(3). 637–648. 90 indexed citations
19.
Nagata, Natsuki, Yuanjun Gu, Hiroshi Hori, et al.. (2001). Evaluation of Insulin Secretion of Isolated Rat Islets Cultured in Extracellular Matrix. Cell Transplantation. 10(4-5). 447–451. 69 indexed citations
20.

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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