Makoto Kurachi

12.9k total citations · 5 hit papers
43 papers, 8.2k citations indexed

About

Makoto Kurachi is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Makoto Kurachi has authored 43 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Immunology, 16 papers in Oncology and 7 papers in Molecular Biology. Recurrent topics in Makoto Kurachi's work include Immune Cell Function and Interaction (27 papers), T-cell and B-cell Immunology (23 papers) and Immunotherapy and Immune Responses (20 papers). Makoto Kurachi is often cited by papers focused on Immune Cell Function and Interaction (27 papers), T-cell and B-cell Immunology (23 papers) and Immunotherapy and Immune Responses (20 papers). Makoto Kurachi collaborates with scholars based in Japan, United States and Spain. Makoto Kurachi's co-authors include E. John Wherry, Pamela M. Odorizzi, Kouji Matsushima, W. Nicholas Haining, R. Anthony Barnitz, Jernej Godec, Bertram Bengsch, Satoshi Ueha, Kristen E. Pauken and Sasikanth Manne and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Makoto Kurachi

41 papers receiving 8.1k citations

Hit Papers

Molecular and cellular insights into T cell exhaustion 2015 2026 2018 2022 2015 2016 2016 2020 2016 1000 2.0k 3.0k
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.

  1. Molecular and cellular insights into T cell exhaustion
    2015 3.1k citations E. John Wherry, Makoto Kurachi profile →
  2. Epigenetic stability of exhausted T cells limits durability of reinvigoration by PD-1 blockade
    2016 900 citations Kristen E. Pauken, Morgan A. Sammons et al. Science profile →
  3. The epigenetic landscape of T cell exhaustion
    2016 659 citations Debattama R. Sen, James J. Kaminski et al. Science profile →
  4. Developmental Relationships of Four Exhausted CD8+ T Cell Subsets Reveals Underlying Transcriptional and Epigenetic Landscape Control Mechanisms
    2020 598 citations Sasikanth Manne, Makoto Kurachi et al. Immunity profile →
  5. Bioenergetic Insufficiencies Due to Metabolic Alterations Regulated by the Inhibitory Receptor PD-1 Are an Early Driver of CD8 + T Cell Exhaustion
    2016 588 citations Bertram Bengsch, Andrew L. Johnson et al. Immunity profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Makoto Kurachi Japan 26 5.7k 4.2k 1.8k 697 543 43 8.2k
Sanjiv A. Luther Switzerland 44 7.6k 1.3× 3.7k 0.9× 1.6k 0.9× 506 0.7× 348 0.6× 82 10.2k
Werner Held Switzerland 51 7.5k 1.3× 3.4k 0.8× 2.1k 1.2× 638 0.9× 515 0.9× 116 9.8k
Hisaya Akiba Japan 53 8.3k 1.5× 3.4k 0.8× 2.0k 1.1× 712 1.0× 587 1.1× 126 10.8k
Raffaella Bonecchi Italy 38 6.6k 1.2× 4.5k 1.1× 1.6k 0.9× 604 0.9× 448 0.8× 83 9.3k
Raphael Clynes United States 47 6.2k 1.1× 2.7k 0.7× 2.9k 1.6× 522 0.7× 261 0.5× 99 11.2k
Beatriz M. Carreno United States 40 8.4k 1.5× 5.6k 1.3× 2.1k 1.2× 620 0.9× 488 0.9× 75 11.3k
Loise M. Francisco United States 16 5.8k 1.0× 3.3k 0.8× 1.4k 0.8× 523 0.8× 264 0.5× 19 8.0k
Ramon Arens Netherlands 48 5.6k 1.0× 2.5k 0.6× 1.8k 1.0× 1.2k 1.7× 261 0.5× 128 7.5k
Natalio Garbi Germany 45 5.2k 0.9× 2.3k 0.5× 1.5k 0.9× 660 0.9× 268 0.5× 83 7.5k
Xingxing Zang United States 45 4.6k 0.8× 4.3k 1.0× 1.6k 0.9× 443 0.6× 626 1.2× 118 8.0k

Countries citing papers authored by Makoto Kurachi

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Kurachi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Kurachi

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Kurachi. A scholar is included among the top collaborators of Makoto Kurachi 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 Makoto Kurachi. Makoto Kurachi 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.
2.
Ngiow, Shin Foong, Sasikanth Manne, Yinghui Huang, et al.. (2024). LAG-3 sustains TOX expression and regulates the CD94/NKG2-Qa-1b axis to govern exhausted CD8 T cell NK receptor expression and cytotoxicity. Cell. 187(16). 4336–4354.e19. 47 indexed citations
3.
Tsao, Hsiao‐Wei, James J. Kaminski, Makoto Kurachi, et al.. (2022). Batf-mediated epigenetic control of effector CD8 + T cell differentiation. Science Immunology. 7(68). eabi4919–eabi4919. 33 indexed citations
4.
Aoki, Hiroyasu, Satoshi Ueha, Shigeyuki Shichino, et al.. (2021). Transient Depletion of CD4+ Cells Induces Remodeling of the TCR Repertoire in Gastrointestinal Cancer. Cancer Immunology Research. 9(6). 624–636. 13 indexed citations
5.
Li, Yingfang, Kento Fukano, Miki Koura, et al.. (2020). MCPIP1 reduces HBV-RNA by targeting its epsilon structure. Scientific Reports. 10(1). 20763–20763. 58 indexed citations
6.
Stein, Sarah, Makoto Kurachi, Jelena Petrovic, et al.. (2020). Trib1 regulates T cell differentiation during chronic infection by restraining the effector program. The Journal of Experimental Medicine. 217(5). 17 indexed citations
7.
Stelekati, Erietta, Zeyu Chen, Sasikanth Manne, et al.. (2018). Long-Term Persistence of Exhausted CD8 T Cells in Chronic Infection Is Regulated by MicroRNA-155. Cell Reports. 23(7). 2142–2156. 71 indexed citations
8.
Kosugi‐Kanaya, Mizuha, Satoshi Ueha, Jun Abe, et al.. (2017). Long-Lasting Graft-Derived Donor T Cells Contribute to the Pathogenesis of Chronic Graft-versus-Host Disease in Mice. Frontiers in Immunology. 8. 1842–1842. 5 indexed citations
9.
Das, Rupali, Peng Guan, Leslee Sprague, et al.. (2016). Janus kinase inhibition lessens inflammation and ameliorates disease in murine models of hemophagocytic lymphohistiocytosis. Blood. 127(13). 1666–1675. 182 indexed citations
10.
Pauken, Kristen E., Morgan A. Sammons, Pamela M. Odorizzi, et al.. (2016). Epigenetic stability of exhausted T cells limits durability of reinvigoration by PD-1 blockade. Science. 354(6316). 1160–1165. 900 indexed citations breakdown →
11.
Bengsch, Bertram, Andrew L. Johnson, Makoto Kurachi, et al.. (2016). Bioenergetic Insufficiencies Due to Metabolic Alterations Regulated by the Inhibitory Receptor PD-1 Are an Early Driver of CD8 + T Cell Exhaustion. Immunity. 45(2). 358–373. 588 indexed citations breakdown →
12.
Kurachi, Makoto, R. Anthony Barnitz, Nir Yosef, et al.. (2014). The transcription factor BATF operates as an essential differentiation checkpoint in early effector CD8+ T cells. Nature Immunology. 15(4). 373–383. 267 indexed citations
13.
Kurachi, Makoto, Fumiko Suenaga, Tatsuya Tsukui, et al.. (2011). Chemokine receptor CXCR3 facilitates CD8+ T cell differentiation into short-lived effector cells leading to memory degeneration. The Journal of Experimental Medicine. 208(8). 1605–1620. 150 indexed citations
14.
Abe, Jun, Satoshi Ueha, Hiroyuki Yoneyama, et al.. (2011). B cells regulate antibody responses through the medullary remodeling of inflamed lymph nodes. International Immunology. 24(1). 17–27. 14 indexed citations
15.
Shono, Yusuke, Satoshi Ueha, Yong Wang, et al.. (2010). Bone marrow graft-versus-host disease: early destruction of hematopoietic niche after MHC-mismatched hematopoietic stem cell transplantation. Blood. 115(26). 5401–5411. 130 indexed citations
16.
Toda, Masaaki, Linan Wang, Mie Torii, et al.. (2010). UV irradiation of immunized mice induces type 1 regulatory T cells that suppress tumor antigen specific cytotoxic T lymphocyte responses. International Journal of Cancer. 129(5). 1126–1136. 17 indexed citations
17.
Hosoi, Akihiro, Satoshi Ueha, Makoto Kurachi, et al.. (2008). Dendritic cell vaccine with mRNA targeted to the proteasome by polyubiquitination. Biochemical and Biophysical Research Communications. 371(2). 242–246. 9 indexed citations
18.
Tokuyama, Hirotake, Satoshi Ueha, Makoto Kurachi, et al.. (2005). The simultaneous blockade of chemokine receptors CCR2, CCR5 and CXCR3 by a non-peptide chemokine receptor antagonist protects mice from dextran sodium sulfate-mediated colitis. International Immunology. 17(8). 1023–1034. 91 indexed citations
19.
Dong, Hongyan, Nobuaki Toyoda, Hiroyuki Yoneyama, et al.. (2002). Gene expression profile analysis of the mouse liver during bacteria-induced fulminant hepatitis by a cDNA microarray system. Biochemical and Biophysical Research Communications. 298(5). 675–686. 33 indexed citations
20.
Kurachi, Makoto, Shinichi Hashimoto, Shigenori Nagai, et al.. (2002). Identification of 2,3,7,8-Tetrachlorodibenzo-p-dioxin-Responsive Genes in Mouse Liver by Serial Analysis of Gene Expression. Biochemical and Biophysical Research Communications. 292(2). 368–377. 42 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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