Naoto Matsuki

2.2k total citations · 1 hit paper
15 papers, 1.9k citations indexed

About

Naoto Matsuki is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Naoto Matsuki has authored 15 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Molecular Biology. Recurrent topics in Naoto Matsuki's work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Naoto Matsuki is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Naoto Matsuki collaborates with scholars based in United States, Japan and India. Naoto Matsuki's co-authors include Sebastian Joyce, Monica E. Embers, Cynthia R. Willis, Moira Glaccum, K Charrier, Jacques J. Peschon, Eric Butz, Lisa M. Sedger, Kenneth Brasel and Kim L. Stocking and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Naoto Matsuki

14 papers receiving 1.8k 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.

Reversible Defects in Natural Killer and Memory Cd8 T Cell Lineages in Interleukin 15–Deficient Mice

2000 1.4k citations Mary K. Kennedy, Moira Glaccum et al. The Journal of Experimental Medicine profile →

Peers

Naoto Matsuki

IMMUN

ONCOL

EPIDE

HEMAT

Anna Pessino Italy

Nicolas Fuséri France

Danielle L. Drayton United States

Javier Vega‐Ramos Australia

Bettina Ernst United States

Sarina Ravens Germany

Christiane Siewert Germany

Anthony Bonito United States

Aurore Fenis France

Lynn D. Poulton Australia

Anna Pessino Italy

Naoto Matsuki

2.3k ×1.3

IMMUN

547 ×1.5

ONCOL

165 ×0.9

EPIDE

232 ×1.6

217 ×2.0

HEMAT

Citations per year, relative to Naoto Matsuki Naoto Matsuki (= 1×) peers Anna Pessino

Countries citing papers authored by Naoto Matsuki

Since Specialization

Citations

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

Fields of papers citing papers by Naoto Matsuki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoto Matsuki

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Bezbradica, Jelena S., Aleksandar K. Stanic, Naoto Matsuki, et al.. (2005). Distinct Roles of Dendritic Cells and B Cells in Va14Ja18 Natural T Cell Activation In Vivo. The Journal of Immunology. 174(8). 4696–4705. 127 indexed citations

Stanic, Aleksandar K., Jelena S. Bezbradica, Jang‐June Park, et al.. (2004). NF-κB Controls Cell Fate Specification, Survival, and Molecular Differentiation of Immunoregulatory Natural T Lymphocytes. The Journal of Immunology. 172(4). 2265–2273. 88 indexed citations

Stanic, Aleksandar K., Jelena S. Bezbradica, Naoto Matsuki, et al.. (2004). Another View of T Cell Antigen Recognition: Cooperative Engagement of Glycolipid Antigens by Va14Ja18 Natural TCR. The Journal of Immunology. 172(1). 717–717. 1 indexed citations

Stanic, Aleksandar K., Rangaiah Shashidharamurthy, Jelena S. Bezbradica, et al.. (2003). Another View of T Cell Antigen Recognition: Cooperative Engagement of Glycolipid Antigens by Va14Ja18 Natural TCR. The Journal of Immunology. 171(9). 4539–4551. 76 indexed citations

Matsuki, Naoto, Aleksandar K. Stanic, Monica E. Embers, et al.. (2003). Genetic Dissection of Vα14Jα18 Natural T Cell Number and Function in Autoimmune-Prone Mice. The Journal of Immunology. 170(11). 5429–5437. 35 indexed citations

Zhang, Feng, Zhiyan Liang, Naoto Matsuki, et al.. (2003). A Murine Locus on Chromosome 18 Controls NKT Cell Homeostasis and Th Cell Differentiation. The Journal of Immunology. 171(9). 4613–4620. 22 indexed citations

Silva, Aruna Dharshan De, Naoto Matsuki, Aleksandar K. Stanic, et al.. (2002). Lipid Protein Interactions: The Assembly of CD1d1 with Cellular Phospholipids Occurs in the Endoplasmic Reticulum. The Journal of Immunology. 168(2). 723–733. 103 indexed citations

Kennedy, Mary K., Moira Glaccum, Eric Butz, et al.. (2000). Reversible Defects in Natural Killer and Memory Cd8 T Cell Lineages in Interleukin 15–Deficient Mice. The Journal of Experimental Medicine. 191(5). 771–780. 1352 indexed citations breakdown →

Ito, Daisuke, Kazumasa Ogasawara, Kazuhiro Matsushita, et al.. (2000). Effective Priming of Cytotoxic T Lymphocyte Precursors by Subcutaneous Administration of Peptide Antigens in Liposomes Accompanied by Anti-CD40 and Anti-CTLA-4 Antibodies. Immunobiology. 201(5). 527–540. 6 indexed citations

10.

Ato, Manabu, K Iwabuchi, Naoto Matsuki, et al.. (2000). Delayed Clearance of Zymosan-induced Granuloma and Depressed Phagocytosis of Macrophages with Concomitant Up-regulated Kinase Activities of Src-family in a Human Monocyte ChemoaHractant Protein-1 Transgenic Mouse. Immunobiology. 201(3-4). 432–449. 6 indexed citations

11.

Yahata, Takashi, Naoko Abe, Yasushi Ohmi, et al.. (1999). The essential role of phorbol ester-sensitive protein kinase C isoforms in activation-induced cell death of Th1 cells. European Journal of Immunology. 29(3). 727–732. 20 indexed citations

12.

Namba, Kenichi, Nobuyoshi Kitaichi, Naoto Matsuki, et al.. (1998). Identification of a peptide inducing experimental autoimmune uveoretinitis (EAU) in H-2Ak-carrying mice. Clinical & Experimental Immunology. 111(2). 442–449. 1 indexed citations

13.

Itoh, Yasushi, Kiichi Kajino, Kenichi Namba, et al.. (1997). Interaction of pigeon cytochrome c (43-58) analogs with either T cell antigen receptor or I-Ab molecule.. 20. 291–296. 2 indexed citations

14.

Itoh, Yasushi, Kiichi Kajino, Kazumasa Ogasawara, et al.. (1997). Interaction of pigeon cytochromec-(43–58) peptide analogs with either T cell antigen receptor or I-A^b molecule. Proceedings of the National Academy of Sciences. 94(22). 12047–12052. 15 indexed citations

15.

Itoh, Yuzuru, et al.. (1996). A promiscuous T cell hybridoma restricted to various I‐A molecules. European Journal of Immunology. 26(5). 976–980. 1 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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