Akira Hashiramoto

4.5k total citations · 1 hit paper
71 papers, 3.5k citations indexed

About

Akira Hashiramoto is a scholar working on Rheumatology, Molecular Biology and Oncology. According to data from OpenAlex, Akira Hashiramoto has authored 71 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Rheumatology, 23 papers in Molecular Biology and 18 papers in Oncology. Recurrent topics in Akira Hashiramoto's work include Rheumatoid Arthritis Research and Therapies (17 papers), Cytokine Signaling Pathways and Interactions (11 papers) and NF-κB Signaling Pathways (9 papers). Akira Hashiramoto is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (17 papers), Cytokine Signaling Pathways and Interactions (11 papers) and NF-κB Signaling Pathways (9 papers). Akira Hashiramoto collaborates with scholars based in Japan, United States and Slovakia. Akira Hashiramoto's co-authors include Motoharu Kondo, Hajime Sano, Yutaka Kawahito, Timothy Hla, Ronald L. Wilder, Shunichi Shiozawa, Haruki Kato, Shigehiko Mukai, Shigeru Kimura and Kiyoshi Asai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Akira Hashiramoto

69 papers receiving 3.5k 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.

Expression of cyclooxygenase-1 and -2 in human colorectal cancer.

1995 1000 citations Hajime Sano, Yutaka Kawahito et al. PubMed profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Akira Hashiramoto Japan	27	1.5k	976	646	646	558	71	3.5k
Kimberly D. Kluckman United States	15	1.7k 1.2×	1.4k 1.4×	771 1.2×	338 0.5×	338 0.6×	17	4.5k
Danièle Daviaud France	31	1.4k 0.9×	1.6k 1.7×	190 0.3×	469 0.7×	475 0.9×	55	4.8k
John R. Hagaman United States	27	2.1k 1.4×	371 0.4×	631 1.0×	574 0.9×	236 0.4×	47	5.1k
David J. MacEwan United Kingdom	38	2.6k 1.7×	486 0.5×	175 0.3×	948 1.5×	684 1.2×	93	4.5k
Paul D. Drew United States	37	1.8k 1.2×	251 0.3×	209 0.3×	1.3k 2.0×	428 0.8×	72	4.0k
Jane R. Connor United States	29	1.0k 0.7×	573 0.6×	157 0.2×	378 0.6×	241 0.4×	50	3.1k
Rama Pai United States	30	1.5k 1.0×	755 0.8×	393 0.6×	332 0.5×	467 0.8×	65	3.4k
David F. Woodward United States	39	1.2k 0.8×	1.7k 1.8×	317 0.5×	439 0.7×	127 0.2×	149	4.9k
Graziano Pelli Switzerland	32	1.1k 0.7×	593 0.6×	103 0.2×	1.5k 2.3×	227 0.4×	52	3.5k
Harald Esterbauer Austria	41	2.7k 1.8×	143 0.1×	366 0.6×	841 1.3×	415 0.7×	94	5.5k

Countries citing papers authored by Akira Hashiramoto

Since Specialization

Citations

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

Fields of papers citing papers by Akira Hashiramoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Hashiramoto

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

All Works

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20 of 20 papers shown

Yamane, Takashi & Akira Hashiramoto. (2023). Mepolizumab exerts crucial effects on glucocorticoid discontinuation in patients with eosinophilic granulomatosis with polyangiitis: a retrospective study of 27 cases at a single center in Japan. Arthritis Research & Therapy. 25(1). 110–110. 9 indexed citations

Yamane, Takashi & Akira Hashiramoto. (2023). AB0527 FACTORS ASSOCIATED WITH GLUCOCORTICOID-FREE IN SYSTEMIC LUPUS ERYTHEMATOSUS PATIENTS TREATED WITH BELIMUMAB IN THE REAL-WORLD SETTINGS: A SINGLE-CENTER RETROSPECTIVE COHORT STUDY IN JAPAN. 1461.1–1461. 1 indexed citations

Hashimoto, Teppei, Shigeharu Ueki, Yosuke Kamide, et al.. (2022). Increased Circulating Cell-Free DNA in Eosinophilic Granulomatosis With Polyangiitis: Implications for Eosinophil Extracellular Traps and Immunothrombosis. Frontiers in Immunology. 12. 801897–801897. 41 indexed citations

Yoshida, Kohsuke, Teppei Hashimoto, Yoshiko Kawasaki, et al.. (2019). Expressions of circadian clock genes represent disease activities of RA patients treated with biological DMARDs. Modern Rheumatology. 30(2). 293–300. 13 indexed citations

Tsumiyama, Ken, Keiichi Sakurai, Yasushi Miura, et al.. (2019). Conditional Upregulation of IFN-α Alone Is Sufficient to Induce Systemic Lupus Erythematosus. The Journal of Immunology. 203(4). 835–843. 13 indexed citations

Shiozawa, Shunichi, Ken Tsumiyama, Kohsuke Yoshida, & Akira Hashiramoto. (2011). Pathogenesis of Joint Destruction in Rheumatoid Arthritis. Archivum Immunologiae et Therapiae Experimentalis. 59(2). 89–95. 53 indexed citations

Hashiramoto, Akira, Takashi Yamane, Ken Tsumiyama, et al.. (2009). Mammalian Clock Gene Cryptochrome Regulates Arthritis via Proinflammatory Cytokine TNF-α. The Journal of Immunology. 184(3). 1560–1565. 145 indexed citations

Hashiramoto, Akira, Kazuko Shiozawa, Yasushi Tanaka, et al.. (2009). Prospective study of methotrexate treatment for rheumatoid arthritis treated legitimately according to the government recommended 8 mg/week dose. Modern Rheumatology. 19(6). 637–642. 2 indexed citations

Elenkov, Ilia J., Richard Květňanský, Akira Hashiramoto, et al.. (2008). Low- versus High-Baseline Epinephrine Output Shapes Opposite Innate Cytokine Profiles: Presence of Lewis- and Fischer-Like Neurohormonal Immune Phenotypes in Humans?. The Journal of Immunology. 181(3). 1737–1745. 53 indexed citations

10.

Osawa, Kayo, Yasushi Miura, Koichiro Komai, et al.. (2006). Hypermethylated promoter region of DR3, the death receptor 3 gene, in rheumatoid arthritis synovial cells. Arthritis & Rheumatism. 54(3). 779–787. 103 indexed citations

11.

Shiozawa, Kazuko, Yasushi Tanaka, Takashi Yamane, et al.. (2005). Serum levels and pharmacodynamics of methotrexate and its metabolite 7-hydroxy methotrexate in Japanese patients with rheumatoid arthritis treated with 2-mg capsule of methotrexate three times per week. Modern Rheumatology. 15(6). 405–409. 10 indexed citations

12.

Hashiramoto, Akira, Toru Yamaguchi, Takashi Yamane, et al.. (2004). A case of central nervous system lupus in succession to lupus peritonitis: a difficulty in the differential diagnosis between lupus psychosis and steroid-induced psychosis. Modern Rheumatology. 14(4). 323–326. 1 indexed citations

13.

Remmers, Elaine F., Bina Joe, Marie Griffiths, et al.. (2002). Modulation of multiple experimental arthritis models by collagen‐induced arthritis quantitative trait loci isolated in congenic rat lines: Different effects of non–major histocompatibility complex quantitative trait loci in males and females. Arthritis & Rheumatism. 46(8). 2225–2234. 63 indexed citations

14.

Tsubouchi, Yasunori, Hajime Sano, Ryoji Yamada, et al.. (2000). Preferential inhibition of cyclooxygenase-2 by meloxicam in human rheumatoid synoviocytes. European Journal of Pharmacology. 395(3). 255–263. 14 indexed citations

15.

Kawahito, Yutaka, Motoharu Kondo, Yasunori Tsubouchi, et al.. (2000). 15-deoxy-Δ12,14-PGJ2 induces synoviocyte apoptosis and suppresses adjuvant-induced arthritis in rats. Journal of Clinical Investigation. 106(2). 189–197. 337 indexed citations

16.

Hashiramoto, Akira, Hajime Sano, Taira Maekawa, et al.. (1999). C-MYC antisense oligodeoxynucleotides can induce apoptosis and down-regulate Fas expression in rheumatoid synoviocytes. Arthritis & Rheumatism. 42(5). 954–962. 45 indexed citations

17.

Yamada, Ryoji, Hajime Sano, Timothy Hla, et al.. (1999). Auranofin inhibits interleukin-1β-induced transcript of cyclooxygenase-2 on cultured human synoviocytes. European Journal of Pharmacology. 385(1). 71–79. 26 indexed citations

18.

Sano, Hajime, Tomoko Ueda, Shunsei Hirohata, et al.. (1998). A case of severe neuropsy chiatric lupus erythematosus treated by plasmapheresis: Diagnostic values of serum antiribosomal P protein antibodies and interleukin-6 in cerebrospinal fluid.. Japanese Journal of Clinical Immunology. 21(4). 172–179. 2 indexed citations

19.

Yoshimura, Norio, Hajime Sano, Akira Hashiramoto, et al.. (1998). The Expression and Localization of Fibroblast Growth Factor-1 (FGF-1) and FGF Receptor-1 (FGFR-1) in Human Breast Cancer. Clinical Immunology and Immunopathology. 89(1). 28–34. 58 indexed citations

20.

Sano, Hajime, Yutaka Kawahito, Ronald L. Wilder, et al.. (1995). Expression of cyclooxygenase-1 and -2 in human colorectal cancer.. PubMed. 55(17). 3785–9. 1000 indexed citations breakdown →

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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