Hiroshi Ueda

14.7k total citations
503 papers, 12.2k citations indexed

About

Hiroshi Ueda is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Hiroshi Ueda has authored 503 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 274 papers in Molecular Biology, 210 papers in Cellular and Molecular Neuroscience and 177 papers in Physiology. Recurrent topics in Hiroshi Ueda's work include Pain Mechanisms and Treatments (143 papers), Neuropeptides and Animal Physiology (125 papers) and Receptor Mechanisms and Signaling (85 papers). Hiroshi Ueda is often cited by papers focused on Pain Mechanisms and Treatments (143 papers), Neuropeptides and Animal Physiology (125 papers) and Receptor Mechanisms and Signaling (85 papers). Hiroshi Ueda collaborates with scholars based in Japan, United States and Taiwan. Hiroshi Ueda's co-authors include Makoto Inoue, Hiroshi Takagi, Hitoshi Uchida, Ryousuke Fujita, Harunor Rashid, Jerold Chun, Hirohito Shiomi, Jun Nagai, Masatoshi Yamazaki and Hayato Matsunaga and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Hiroshi Ueda

491 papers receiving 11.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroshi Ueda Japan 56 6.3k 5.1k 4.7k 734 632 503 12.2k
Hiroshi Takagi Japan 68 10.3k 1.6× 5.6k 1.1× 4.1k 0.9× 1.2k 1.6× 994 1.6× 607 17.7k
Peter W. Reeh Germany 67 4.0k 0.6× 4.1k 0.8× 6.4k 1.4× 348 0.5× 810 1.3× 218 12.8k
Stuart Bevan United Kingdom 67 5.2k 0.8× 6.2k 1.2× 6.7k 1.4× 406 0.6× 694 1.1× 135 17.5k
Diana M. Bautista United States 34 3.1k 0.5× 4.4k 0.9× 5.4k 1.2× 453 0.6× 427 0.7× 59 15.0k
Xinzhong Dong United States 57 3.5k 0.6× 3.3k 0.7× 4.6k 1.0× 491 0.7× 394 0.6× 176 12.4k
Thomas Herdegen Germany 66 6.3k 1.0× 5.4k 1.1× 2.3k 0.5× 731 1.0× 493 0.8× 186 12.9k
Koichi Noguchi Japan 62 2.9k 0.5× 5.7k 1.1× 7.4k 1.6× 354 0.5× 793 1.3× 197 12.4k
Vassilios Papadopoulos United States 78 9.5k 1.5× 4.3k 0.9× 2.8k 0.6× 793 1.1× 1.6k 2.6× 349 21.3k
Susan D. Brain United Kingdom 59 3.9k 0.6× 5.4k 1.1× 4.5k 1.0× 311 0.4× 1.6k 2.5× 246 13.9k
Richard M. Eglen United States 65 8.2k 1.3× 6.2k 1.2× 3.0k 0.6× 287 0.4× 938 1.5× 239 13.9k

Countries citing papers authored by Hiroshi Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Ueda

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Ueda. A scholar is included among the top collaborators of Hiroshi 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 Hiroshi Ueda. Hiroshi 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.
Zhou, Peng, Rinshi S. Kasai, Wakako Fujita, et al.. (2025). Single-molecule characterization of opioid receptor heterodimers reveals soluble µ-δ dimer blocker peptide alleviates morphine tolerance. Nature Communications. 16(1). 9859–9859. 1 indexed citations
2.
3.
Yokoyama, R, et al.. (2023). Impact of COVID‐19 on pediatric surgery cancellations: A retrospective study. Pediatrics International. 65(1). e15662–e15662. 2 indexed citations
4.
Ueda, Hiroshi. (2023). Prothymosin α Plays Role as a Brain Guardian through Ecto-F1 ATPase-P2Y12 Complex and TLR4/MD2. Cells. 12(3). 496–496. 4 indexed citations
5.
Ueda, Hiroshi. (2023). Non-Vesicular Release of Alarmin Prothymosin α Complex Associated with Annexin-2 Flop-Out. Cells. 12(12). 1569–1569. 2 indexed citations
6.
7.
Cui, Yilong, et al.. (2022). Lysophosphatidic acid receptor type‐1 mediates brain activation in micro‐positron emission tomography analysis in a fibromyalgia‐like mouse model. European Journal of Neuroscience. 56(3). 4224–4233. 1 indexed citations
8.
Morita, Akinori, Hidetoshi Satoh, Yosuke Matsushita, et al.. (2021). A Novel RNA Synthesis Inhibitor, STK160830, Has Negligible DNA-Intercalating Activity for Triggering A p53 Response, and Can Inhibit p53-Dependent Apoptosis. Life. 11(10). 1087–1087. 3 indexed citations
9.
Tanaka, Keigo, Jun Nagai, Ryoko Tsukahara, et al.. (2021). Secreted PLA2-III is a possible therapeutic target to treat neuropathic pain. Biochemical and Biophysical Research Communications. 568. 167–173. 8 indexed citations
10.
Wang, Zheng, Akira Ando, Atsuko Takeuchi, & Hiroshi Ueda. (2019). Changes in Oxalate, Nitrate, and Lutein Contents in Whole and Cut Spinach Boiled with Different Additives. Food Science and Technology Research. 25(6). 801–807. 3 indexed citations
11.
Miyabe, Chie, Yoshishige Miyabe, Jun Nagai, et al.. (2019). Abrogation of lysophosphatidic acid receptor 1 ameliorates murine vasculitis. Arthritis Research & Therapy. 21(1). 13 indexed citations
12.
Wang, Zheng, Akira Ando, Atsuko Takeuchi, & Hiroshi Ueda. (2018). Effects of Cooking Conditions on the Relationships Among Oxalate, Nitrate, and Lutein in Spinach. Food Science and Technology Research. 24(3). 421–425. 5 indexed citations
13.
Yamazaki, Takashi, et al.. (2016). Isolation and Biochemical Characterization of Mucus Proteins in Japanese Bunching Onion (<i>Allium fistulosum</i>) Green Leaves. Food Science and Technology Research. 22(2). 235–243. 2 indexed citations
14.
Ueda, Hiroshi, et al.. (2010). Influence of Kiwi Fruit on Immunity and Its Anti-oxidant Effects in Mice. Food Science and Technology Research. 16(2). 135–142. 16 indexed citations
15.
Ueda, Hiroshi. (2004). Foreword(Mitochondria and Neuroprotection). Biological and Pharmaceutical Bulletin. 27(7). 949. 1 indexed citations
16.
Fuke, Yoko, et al.. (2001). Effects of Cooking Methods of Cabbage on the Production of TNF-.ALPHA. and Induction of Quinone Reductase in Hapa 1c1c7 Cells.. Food Science and Technology Research. 7(4). 311–314. 3 indexed citations
17.
Nishibe, Sansei, et al.. (2001). The Inhibitory Effects of Compounds from Olive Leaf on Tumor Necrosis Factor Production and on β-Hexosaminidase Release. 55(4). 205–208. 4 indexed citations
18.
Fuke, Yoko, et al.. (2000). Effects of Vegetables Grown with Different Fertilizers on the Yield and Biological Activities.. Nippon Shokuhin Kagaku Kogaku Kaishi. 47(9). 700–707. 3 indexed citations
19.
Ueda, Hiroshi, M Hashimoto, Eiichi KIMURA, et al.. (1964). Committee Report. Japanese Heart Journal. 5(6). 549–557. 2 indexed citations
20.
Ueda, Hiroshi, Jinro Inoue, Yasuhiro Inoue, et al.. (1958). 56) Estimation of Portal Circulation Time with Photoelectric Densitometer (Proceedings of the 22nd Annual Meeting of the Japanese Circulation Society). 22(4). 246.

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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