Haruyasu Ueda

1.3k total citations
40 papers, 1.1k citations indexed

About

Haruyasu Ueda is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Haruyasu Ueda has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Immunology and 7 papers in Physiology. Recurrent topics in Haruyasu Ueda's work include Inflammasome and immune disorders (16 papers), Immune Cell Function and Interaction (9 papers) and Immune Response and Inflammation (6 papers). Haruyasu Ueda is often cited by papers focused on Inflammasome and immune disorders (16 papers), Immune Cell Function and Interaction (9 papers) and Immune Response and Inflammation (6 papers). Haruyasu Ueda collaborates with scholars based in Japan, United States and Somalia. Haruyasu Ueda's co-authors include Haruki Okamura, Shin‐ichiro Kashiwamura, Atsuo Sekiyama, Shunji Sugawara, Akiko Uehara, Tomonori Nochi, Haruhiko Takada, Katsuo Kumagai, Akiko Sugiyama and Takahiro Yamaguchi and has published in prestigious journals such as Blood, Immunity and The Journal of Immunology.

In The Last Decade

Haruyasu Ueda

39 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haruyasu Ueda Japan 21 484 474 146 117 117 40 1.1k
Vigdis Bjerkeli Norway 18 285 0.6× 368 0.8× 119 0.8× 107 0.9× 116 1.0× 31 878
Johan Öckinger Sweden 13 774 1.6× 391 0.8× 90 0.6× 104 0.9× 133 1.1× 18 1.2k
Wen-Chao Song United States 13 293 0.6× 631 1.3× 82 0.6× 93 0.8× 95 0.8× 13 1.2k
Fumihiko Hato Japan 19 454 0.9× 576 1.2× 85 0.6× 217 1.9× 198 1.7× 56 1.3k
Chantal S. Colmont United Kingdom 15 469 1.0× 461 1.0× 92 0.6× 143 1.2× 172 1.5× 19 1.2k
Dicky J. Lindenbergh-Kortleve Netherlands 19 420 0.9× 453 1.0× 62 0.4× 137 1.2× 127 1.1× 33 1.3k
Ichiaki Ito Japan 20 610 1.3× 368 0.8× 129 0.9× 188 1.6× 115 1.0× 39 1.4k
C. Lynne Burek United States 29 377 0.8× 730 1.5× 238 1.6× 106 0.9× 157 1.3× 70 2.4k
Debra A. Schultz United States 13 459 0.9× 234 0.5× 82 0.6× 148 1.3× 145 1.2× 20 972
Eline Dejonckheere Belgium 9 334 0.7× 369 0.8× 83 0.6× 134 1.1× 289 2.5× 11 1.2k

Countries citing papers authored by Haruyasu Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Haruyasu Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haruyasu Ueda

This figure shows the co-authorship network connecting the top 25 collaborators of Haruyasu Ueda. A scholar is included among the top collaborators of Haruyasu Ueda 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 Haruyasu Ueda. Haruyasu Ueda 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.
Ueda, Haruyasu, et al.. (2019). Platform to Accelerate Utilization and R&D of AI Technologies. 70(4). 103–109. 1 indexed citations
2.
Takaoka, Kazuki, Tetsuya Abe, Masami Shinohara, et al.. (2015). Establishment of an Animal Model of Bisphosphonate-Related Osteonecrosis of the Jaws in Spontaneously Diabetic Torii Rats. PLoS ONE. 10(12). e0144355–e0144355. 15 indexed citations
3.
Yamamoto, Hideyuki, Wen Li, Yukihisa Fujita, et al.. (2012). Cisplatin-induced acute renal failure in mice is mediated by chymase-activated angiotensin-aldosterone system and interleukin-18. European Journal of Pharmacology. 685(1-3). 149–155. 22 indexed citations
4.
Matsui, Kiyoshi, Haruyasu Ueda, Makoto Terada, et al.. (2010). Mizoribine protects against bleomycin-induced lung injury. Modern Rheumatology. 20(5). 471–477. 2 indexed citations
5.
Kubo, Shuji, Hideyuki Yamamoto, Haruyasu Ueda, et al.. (2010). Effect of IL-18 on Expansion of γδ T Cells Stimulated by Zoledronate and IL-2. Journal of Immunotherapy. 33(3). 287–296. 49 indexed citations
6.
Hata, Masaki, Nobuyuki Terada, Haruyasu Ueda, et al.. (2008). Transdifferentiation into biliary ductular cells of hepatocytes transplanted into the spleen. Pathology. 40(3). 272–276. 12 indexed citations
7.
Kashiwamura, Shin-ichiro, Atsuo Sekiyama, Haruyasu Ueda, et al.. (2008). Interleukin‐18 prevents apoptosis via PI3K/Akt pathway in normal human keratinocytes. The Journal of Dermatology. 35(8). 514–524. 24 indexed citations
8.
Sekiyama, Atsuo, Haruyasu Ueda, Shin‐ichiro Kashiwamura, et al.. (2005). A Stress-Induced, Superoxide-Mediated Caspase-1 Activation Pathway Causes Plasma IL-18 Upregulation. Immunity. 22(6). 669–677. 51 indexed citations
9.
Yamada, Naoko, Tohru Tsujimura, Haruyasu Ueda, et al.. (2005). Down-regulation of osteoprotegerin production in bone marrow macrophages by macrophage colony-stimulating factor. Cytokine. 31(4). 288–297. 16 indexed citations
10.
Sekiyama, Atsuo, Haruyasu Ueda, Shin‐ichiro Kashiwamura, et al.. (2005). A role of the adrenal gland in stress-induced up-regulation of cytokines in plasma. Journal of Neuroimmunology. 171(1-2). 38–44. 28 indexed citations
11.
Okamoto, Takuya, Naoko Yamada, Tohru Tsujimura, et al.. (2004). Inhibition by Interleukin-18 of the Growth of Dunn Osteosarcoma Cells. Journal of Interferon & Cytokine Research. 24(3). 161–167. 14 indexed citations
12.
Ueda, Haruyasu, et al.. (2003). Organic Job Controller -A script language to describe submission, synchronization and dependency of jobs-. IPSJ SIG Notes. 2003(80). 99–106. 1 indexed citations
13.
Kashiwamura, Shin‐ichiro, Haruyasu Ueda, Koji Sawada, et al.. (2003). Inflammatory Liver Steatosis Caused by IL-12 and IL-18. Journal of Interferon & Cytokine Research. 23(3). 155–162. 24 indexed citations
14.
Kashiwamura, Shin‐ichiro, Haruyasu Ueda, & Haruki Okamura. (2002). Roles of Interleukin-18 in Tissue Destruction and Compensatory Reactions. Journal of Immunotherapy. 25. S4–S11. 57 indexed citations
15.
16.
Sugawara, Shunji, Akiko Uehara, Tomonori Nochi, et al.. (2001). Neutrophil Proteinase 3-Mediated Induction of Bioactive IL-18 Secretion by Human Oral Epithelial Cells. The Journal of Immunology. 167(11). 6568–6575. 235 indexed citations
17.
Adachi, Susumu, et al.. (2001). Expression of Interleukin‐18 and its Receptor in Mouse Ovary. American Journal of Reproductive Immunology. 46(5). 349–357. 24 indexed citations
18.
Yoshimoto, Tomohiro, et al.. (1998). LPS-Stimulated SJL Macrophages Produce IL-12 and IL-18 That Inhibit IgE Production In Vitro by Induction of IFN-γ Production from CD3intIL-2Rβ+ T Cells. The Journal of Immunology. 161(3). 1483–1492. 37 indexed citations
19.
Moritoki, Hideki, et al.. (1991). l‐Arginine induces relaxation of rat aorta possibly through non‐endothelial nitric oxide formation. British Journal of Pharmacology. 102(4). 841–846. 34 indexed citations
20.
Horio, Shuhei, et al.. (1990). Temperature‐dependence of desensitization induced by acetylcholine and histamine in guinea‐pig ileal longitudinal muscle. British Journal of Pharmacology. 100(3). 636–640. 10 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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