Akihiko Yoshimura

578 total citations · 1 hit paper
7 papers, 397 citations indexed

About

Akihiko Yoshimura is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Akihiko Yoshimura has authored 7 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Physiology and 3 papers in Immunology. Recurrent topics in Akihiko Yoshimura's work include Single-cell and spatial transcriptomics (2 papers), Immune cells in cancer (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Akihiko Yoshimura is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), Immune cells in cancer (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Akihiko Yoshimura collaborates with scholars based in Japan, United States and Belgium. Akihiko Yoshimura's co-authors include Teh‐Wei Wang, Daisuke Aki, Yoshikazu Johmura, Yoichi Furukawa, Hiroyuki Mori, Toshiro Migita, Seiya Imoto, Satotaka Omori, Makoto Nakanishi and Seira Hatakeyama and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Akihiko Yoshimura

5 papers receiving 392 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.

Blocking PD-L1–PD-1 improves senescence surveillance and ageing phenotypes

2022 278 citations Teh‐Wei Wang, Yoshikazu Johmura et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Akihiko Yoshimura Japan	3	175	130	113	88	50	7	397
Akiko Tenma Japan	6	113 0.6×	64 0.5×	145 1.3×	57 0.6×	29 0.6×	10	320
Ji Sun Moon South Korea	9	109 0.6×	121 0.9×	135 1.2×	28 0.3×	62 1.2×	16	351
Claudia D’Anna Italy	13	218 1.2×	75 0.6×	138 1.2×	32 0.4×	63 1.3×	28	459
Nirmalya Dasgupta United States	9	216 1.2×	190 1.5×	332 2.9×	44 0.5×	56 1.1×	13	560
Marianne Dutaur France	10	161 0.9×	49 0.4×	214 1.9×	65 0.7×	76 1.5×	10	533
Ciana Diskin Ireland	6	237 1.4×	49 0.4×	214 1.9×	66 0.8×	75 1.5×	7	475
Nick P. Goplen United States	12	359 2.1×	91 0.7×	150 1.3×	74 0.8×	100 2.0×	15	578
Xiaogang Chu United States	13	80 0.5×	80 0.6×	198 1.8×	34 0.4×	54 1.1×	20	390
Christos Kiourtis United Kingdom	5	111 0.6×	180 1.4×	245 2.2×	27 0.3×	67 1.3×	7	421
Masahiro Wakita Japan	5	203 1.2×	184 1.4×	251 2.2×	35 0.4×	61 1.2×	12	469

Countries citing papers authored by Akihiko Yoshimura

Since Specialization

Citations

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

Fields of papers citing papers by Akihiko Yoshimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiko Yoshimura

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

All Works

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7 of 7 papers shown

1.

Ito, Minako, et al.. (2025). Stage-specific roles of clonally expanded CD8+ T cells in regulating amyloid pathology in Alzheimer’s disease models. Nature Communications. 16(1). 9458–9458.

2.

Takeuchi, Masaru, et al.. (2024). Autoimmune uveitis attenuated in diabetic mice through imbalance of Th1/Th17 differentiation via suppression of AP-1 signaling pathway in Th cells. Frontiers in Immunology. 15. 1347018–1347018. 2 indexed citations

3.

Brems, Hilde, Mana Iizuka, Setsuko Mise‐Omata, et al.. (2024). Legius syndrome mutations in the Ras-regulator SPRED1 abolish its membrane localization and potentially cause neurodegeneration. Journal of Biological Chemistry. 300(12). 107969–107969.

4.

Iizuka-Koga, Mana, Minako Ito, Noriko Yumoto, et al.. (2024). Reconstruction of Sjögren's syndrome-like sialadenitis by a defined disease specific gut-reactive single TCR and an autoantibody. Clinical Immunology. 264. 110258–110258. 1 indexed citations

5.

Wang, Teh‐Wei, Yoshikazu Johmura, Narumi Suzuki, et al.. (2022). Blocking PD-L1–PD-1 improves senescence surveillance and ageing phenotypes. Nature. 611(7935). 358–364. 278 indexed citations breakdown →

6.

Yamamoto, Shinichi, Chie Kikutake, Mana Iizuka-Koga, et al.. (2022). In Vitro Generation of Brain Regulatory T Cells by Co-culturing With Astrocytes. Frontiers in Immunology. 13. 960036–960036. 11 indexed citations

7.

Yoshimura, Akihiko, Hiroyuki Mori, Masanobu Ohishi, Daisuke Aki, & Toshikatsu Hanada. (2003). Negative regulation of cytokine signaling influences inflammation. Current Opinion in Immunology. 15(6). 704–708. 105 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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