Mitsuhiro Kanamori

2.6k total citations · 1 hit paper
15 papers, 1.2k citations indexed

About

Mitsuhiro Kanamori is a scholar working on Immunology, Oncology and Neurology. According to data from OpenAlex, Mitsuhiro Kanamori has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 4 papers in Oncology and 3 papers in Neurology. Recurrent topics in Mitsuhiro Kanamori's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Mitsuhiro Kanamori is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Mitsuhiro Kanamori collaborates with scholars based in Japan, China and United States. Mitsuhiro Kanamori's co-authors include Akihiko Yoshimura, Hiroko Nakatsukasa, Masahiro Okada, Qianjin Lu, Shunsuke Chikuma, Giorgi Beroshvili, Jasmin Herz, Laura G. Schuettpelz, Marco Colonna and Zachary Papadopoulos and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Mitsuhiro Kanamori

15 papers receiving 1.2k 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.

Skull and vertebral bone marrow are myeloid cell reservoirs for the meninges and CNS parenchyma

2021 391 citations Tornike Mamuladze, Justin Rustenhoven et al. Science profile →

Peers

Mitsuhiro Kanamori

IMMUN

NEURO

ONCOL

CMN

Setsuko Mise‐Omata Japan

Ilan Vaknin Israel

Yasunobu Arima Japan

Mathias Pawlak United States

Alla L. Zozulya Germany

Donald Wong Canada

Eleonora Aricò Italy

André Ortlieb Guerreiro‐Cacais Sweden

Gabriella Palmieri Italy

Helena S. Domingues Portugal

Setsuko Mise‐Omata Japan

Mitsuhiro Kanamori

565 ×0.9

IMMUN

277 ×1.0

281 ×1.1

NEURO

252 ×1.0

ONCOL

49 ×0.5

CMN

Citations per year, relative to Mitsuhiro Kanamori Mitsuhiro Kanamori (= 1×) peers Setsuko Mise‐Omata

Countries citing papers authored by Mitsuhiro Kanamori

Since Specialization

Citations

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

Fields of papers citing papers by Mitsuhiro Kanamori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuhiro Kanamori

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

All Works

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15 of 15 papers shown

Kanamori, Mitsuhiro, T. Takao, Y Kobayashi, et al.. (2023). Increased neutrophils in inflammatory bowel disease accelerate the accumulation of amyloid plaques in the mouse model of Alzheimer’s disease. Inflammation and Regeneration. 43(1). 20–20. 18 indexed citations

Kanamori, Mitsuhiro & Minako Ito. (2023). Immunity in the brain and surrounding tissues. The Journal of Biochemistry. 173(3). 145–151. 1 indexed citations

Mamuladze, Tornike, Justin Rustenhoven, Taitea Dykstra, et al.. (2021). Skull and vertebral bone marrow are myeloid cell reservoirs for the meninges and CNS parenchyma. Science. 373(6553). 391 indexed citations breakdown →

Sekiya, Takashi, Sana Hibino, Keita Saeki, et al.. (2018). Nr4a Receptors Regulate Development and Death of Labile Treg Precursors to Prevent Generation of Pathogenic Self-Reactive Cells. Cell Reports. 24(6). 1627–1638.e6. 18 indexed citations

Kanamori, Mitsuhiro, Hiroko Nakatsukasa, Minako Ito, Shunsuke Chikuma, & Akihiko Yoshimura. (2018). Reprogramming of Th1 cells into regulatory T cells through rewiring of the metabolic status. International Immunology. 30(8). 357–373. 14 indexed citations

Okada, Masahiro, et al.. (2017). Stabilization of Foxp3 expression by CRISPR-dCas9-based epigenome editing in mouse primary T cells. Epigenetics & Chromatin. 10(1). 24–24. 96 indexed citations

Kondo, Taisuke, Rimpei Morita, Yuumi Okuzono, et al.. (2017). Notch-mediated conversion of activated T cells into stem cell memory-like T cells for adoptive immunotherapy. Nature Communications. 8(1). 15338–15338. 80 indexed citations

Chikuma, Shunsuke, Mitsuhiro Kanamori, Setsuko Mise‐Omata, & Akihiko Yoshimura. (2017). Suppressors of cytokine signaling: Potential immune checkpoint molecules for cancer immunotherapy. Cancer Science. 108(4). 574–580. 84 indexed citations

Komai, Kyoko, Takashi Shichita, Minako Ito, et al.. (2017). Role of scavenger receptors as damage-associated molecular pattern receptors in Toll-like receptor activation. International Immunology. 29(2). 59–70. 52 indexed citations

10.

Kanamori, Mitsuhiro, Hiroko Nakatsukasa, Masahiro Okada, Qianjin Lu, & Akihiko Yoshimura. (2016). Induced Regulatory T Cells: Their Development, Stability, and Applications. Trends in Immunology. 37(11). 803–811. 331 indexed citations

11.

Asakawa, Mayako, Hideyuki Yoshida, Ryota Sakai, et al.. (2015). A novel JAK-STAT inhibitor, 2-[(3-Carbamoyl-2-thienyl)amino]-2-oxoethyl(2,6-dichlorophenyl)acetate, suppresses helper T cell differentiation in vitro and collagen-induced arthritis in vivo. Biochemical and Biophysical Research Communications. 468(4). 766–773. 7 indexed citations

12.

Iyoda, Tomonori, et al.. (2015). In vivo and in vitro analyses of α-galactosylceramide uptake by conventional dendritic cell subsets using its fluorescence-labeled derivative. Immunology Letters. 168(2). 300–305. 3 indexed citations

13.

Brems, Hilde, Mayu Suzuki, Mitsuhiro Kanamori, et al.. (2015). Interaction between a Domain of the Negative Regulator of the Ras-ERK Pathway, SPRED1 Protein, and the GTPase-activating Protein-related Domain of Neurofibromin Is Implicated in Legius Syndrome and Neurofibromatosis Type 1. Journal of Biological Chemistry. 291(7). 3124–3134. 46 indexed citations

14.

Kanamori, Mitsuhiro, et al.. (2012). Sulfatide inhibits -galactosylceramide presentation by dendritic cells. International Immunology. 24(2). 129–136. 15 indexed citations

15.

Yoshikawa, Hiroaki, et al.. (1995). Electroencephalograms and cerebral blood flow in carp, Cyprinus carpio, subjected to acute hypoxia. Journal of Fish Biology. 46(1). 114–122. 12 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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