Satoshi Hachimura

4.4k total citations
126 papers, 3.5k citations indexed

About

Satoshi Hachimura is a scholar working on Immunology, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, Satoshi Hachimura has authored 126 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Immunology, 31 papers in Molecular Biology and 29 papers in Immunology and Allergy. Recurrent topics in Satoshi Hachimura's work include Immune Cell Function and Interaction (46 papers), T-cell and B-cell Immunology (42 papers) and Immunotherapy and Immune Responses (23 papers). Satoshi Hachimura is often cited by papers focused on Immune Cell Function and Interaction (46 papers), T-cell and B-cell Immunology (42 papers) and Immunotherapy and Immune Responses (23 papers). Satoshi Hachimura collaborates with scholars based in Japan, United States and Germany. Satoshi Hachimura's co-authors include Shuichi Kaminogawa, Mamoru Totsuka, Akira Hosono, Akio Ametani, Sonoko Habu, Haruyo Nakajima‐Adachi, Takehito Sato, Yoshimasa Takahashi, Masaaki Hashiguchi and Kotaro Takamizawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Satoshi Hachimura

121 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satoshi Hachimura Japan 31 1.4k 1.2k 812 513 447 126 3.5k
Douglas D. Bannerman United States 32 1.4k 1.0× 1.2k 1.0× 661 0.8× 133 0.3× 313 0.7× 52 4.1k
Subhadeep Chakrabarti Canada 27 1.4k 1.0× 2.2k 1.8× 337 0.4× 199 0.4× 651 1.5× 40 4.4k
Ludmila Tučková Czechia 35 921 0.7× 873 0.7× 295 0.4× 296 0.6× 258 0.6× 111 3.4k
Kathryn A. Knoop United States 21 1.0k 0.7× 1.1k 0.9× 174 0.2× 206 0.4× 300 0.7× 37 2.6k
Gerard E. Kaiko Australia 24 976 0.7× 1.2k 1.0× 199 0.2× 181 0.4× 843 1.9× 36 2.9k
Anje A. te Velde Netherlands 24 909 0.6× 592 0.5× 380 0.5× 186 0.4× 139 0.3× 39 2.6k
Sandrine Ménard France 27 618 0.4× 981 0.8× 423 0.5× 76 0.1× 230 0.5× 53 2.7k
Keizo Kohno Japan 27 1.5k 1.1× 1.6k 1.3× 186 0.2× 218 0.4× 172 0.4× 64 3.6k
Jennifer Kovacs-Nolan Canada 27 390 0.3× 1.1k 0.9× 437 0.5× 105 0.2× 252 0.6× 40 2.6k
Bobby J. Cherayil United States 35 1.1k 0.7× 1.1k 1.0× 240 0.3× 87 0.2× 201 0.4× 70 3.3k

Countries citing papers authored by Satoshi Hachimura

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Hachimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Hachimura

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Hachimura. A scholar is included among the top collaborators of Satoshi Hachimura 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 Satoshi Hachimura. Satoshi Hachimura 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
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Zhou, Yingyu, Tomohiro Takano, Xuyang Li, et al.. (2022). β-elemene regulates M1-M2 macrophage balance through the ERK/JNK/P38 MAPK signaling pathway. Communications Biology. 5(1). 519–519. 27 indexed citations
4.
Wang, Rong, Xuyang Li, Tomonari Muramatsu, et al.. (2020). Improved preparation of group-specific component (Gc) protein to derive macrophage activating factor. Protein Expression and Purification. 175. 105714–105714. 1 indexed citations
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Arai, Satoshi, Noriyuki Iwabuchi, S. Takahashi, et al.. (2018). Orally administered heat-killed Lactobacillus paracasei MCC1849 enhances antigen-specific IgA secretion and induces follicular helper T cells in mice. PLoS ONE. 13(6). e0199018–e0199018. 67 indexed citations
7.
Burggraf, Manja, Haruyo Nakajima‐Adachi, Satoshi Hachimura, et al.. (2011). Oral tolerance induction does not resolve gastrointestinal inflammation in a mouse model offoodallergy. Molecular Nutrition & Food Research. 55(10). 1475–1483. 23 indexed citations
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Hachimura, Satoshi. (2007). Immune-modulation by lactic acid bacteria. 18(2). 54–57. 1 indexed citations
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Hachimura, Satoshi. (2007). . 18(2). 54–57. 1 indexed citations
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Kim, Ji Yeon, et al.. (2006). In Vivo Immunopotentiating Effects of Cellular Components from Lactococcus lactis ssp. lactis. Journal of Microbiology and Biotechnology. 16(5). 786–790. 1 indexed citations
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Nakajima‐Adachi, Haruyo, Akira Kikuchi, Tsuyoshi Ishida, et al.. (2006). Food antigen causes TH2-dependent enteropathy followed by tissue repair in T-cell receptor transgenic mice. Journal of Allergy and Clinical Immunology. 117(5). 1125–1132. 41 indexed citations
12.
Hachimura, Satoshi. (2005). . KAGAKU TO SEIBUTSU. 43(8). 509–515.
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Ise, Wataru, Kentaro Nakamura, Nobuko Shimizu, et al.. (2005). Orally Tolerized T Cells Can Form Conjugates with APCs but Are Defective in Immunological Synapse Formation. The Journal of Immunology. 175(2). 829–838. 34 indexed citations
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Kim, Ji Yeon, et al.. (2003). In vitro immunopotentiating activity of cellular components of Lactococcus lactis ssp. lactis. Journal of Microbiology and Biotechnology. 13(2). 202–206. 6 indexed citations
15.
Oida, Takatoku, Xingmin Zhang, Masao GOTO, et al.. (2003). CD4+CD25− T Cells That Express Latency-Associated Peptide on the Surface Suppress CD4+CD45RBhigh-Induced Colitis by a TGF-β-Dependent Mechanism. The Journal of Immunology. 170(5). 2516–2522. 190 indexed citations
16.
Sato, Ayuko, Masaaki Hashiguchi, Etsuko Toda, et al.. (2003). CD11b+ Peyer’s Patch Dendritic Cells Secrete IL-6 and Induce IgA Secretion from Naive B Cells. The Journal of Immunology. 171(7). 3684–3690. 191 indexed citations
17.
Hamada, Hiromasa, Takachika Hiroi, Yasuhiro Nishiyama, et al.. (2002). Identification of Multiple Isolated Lymphoid Follicles on the Antimesenteric Wall of the Mouse Small Intestine. The Journal of Immunology. 168(1). 57–64. 351 indexed citations
18.
Ise, Wataru, Mamoru Totsuka, Yoshitaka Sogawa, et al.. (2002). Naive CD4+ T Cells Exhibit Distinct Expression Patterns of Cytokines and Cell Surface Molecules on Their Primary Responses to Varying Doses of Antigen. The Journal of Immunology. 168(7). 3242–3250. 50 indexed citations
19.
Yoshida, Hiroko, Satoshi Hachimura, Kazuki Hirahara, et al.. (1998). Induction of Oral Tolerance in Splenocyte-Reconstituted SCID Mice. Clinical Immunology and Immunopathology. 87(3). 282–291. 12 indexed citations
20.
Nakajima‐Adachi, Haruyo, Satoshi Hachimura, Wataru Ise, et al.. (1998). Determinant analysis of IgE and IgG4 antibodies and T cells specific for bovine αs1-casein from the same patients allergic to cow's milk: Existence of αs1-casein–specific B cells and T cells characteristic in cow's-milk allergy. Journal of Allergy and Clinical Immunology. 101(5). 660–671. 41 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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