Yasushi Uchiyama

3.8k total citations · 1 hit paper
66 papers, 3.0k citations indexed

About

Yasushi Uchiyama is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Immunology and Molecular Biology. According to data from OpenAlex, Yasushi Uchiyama has authored 66 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physical Therapy, Sports Therapy and Rehabilitation, 13 papers in Immunology and 9 papers in Molecular Biology. Recurrent topics in Yasushi Uchiyama's work include Balance, Gait, and Falls Prevention (12 papers), Stroke Rehabilitation and Recovery (8 papers) and Cerebral Palsy and Movement Disorders (8 papers). Yasushi Uchiyama is often cited by papers focused on Balance, Gait, and Falls Prevention (12 papers), Stroke Rehabilitation and Recovery (8 papers) and Cerebral Palsy and Movement Disorders (8 papers). Yasushi Uchiyama collaborates with scholars based in Japan, United States and Switzerland. Yasushi Uchiyama's co-authors include Shigeaki Kato, Toshio Matsumoto, Masahiko Mihara, Yuko Yoshihara, Akiyoshi Fukamizu, Shoichi Masushige, Keisuke Sekine, Yoshikatsu Uematsu, Hiroshi Sato and Tatsuya Yoshizawa and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Yasushi Uchiyama

59 papers receiving 2.9k citations

Hit Papers

Mice lacking the vitamin D receptor exhibit impaired bone... 1997 2026 2006 2016 1997 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasushi Uchiyama Japan 22 914 892 537 485 418 66 3.0k
Kyoko Morita Japan 30 1.1k 1.2× 879 1.0× 458 0.9× 262 0.5× 831 2.0× 69 3.5k
L.J. Deftos United States 24 1.0k 1.1× 589 0.7× 459 0.9× 297 0.6× 324 0.8× 45 2.5k
Jui‐Cheng Hsieh United States 24 2.1k 2.3× 910 1.0× 246 0.5× 252 0.5× 926 2.2× 34 3.2k
Kalervo Väänänen Finland 35 477 0.5× 1.2k 1.4× 578 1.1× 161 0.3× 424 1.0× 76 3.4k
Yoshiki Seino Japan 39 1.4k 1.6× 1.9k 2.1× 751 1.4× 271 0.6× 1.4k 3.4× 238 6.0k
Dong Li China 26 303 0.3× 902 1.0× 277 0.5× 358 0.7× 383 0.9× 170 2.5k
Li Sun United States 38 321 0.4× 2.3k 2.6× 825 1.5× 248 0.5× 678 1.6× 85 4.7k
Yuko Nakamichi Japan 27 248 0.3× 1.6k 1.8× 776 1.4× 390 0.8× 319 0.8× 46 2.6k
Akihiko Mabuchi Japan 28 312 0.3× 1.2k 1.4× 437 0.8× 378 0.8× 654 1.6× 52 4.2k
William A. Peck United States 26 220 0.2× 1.3k 1.5× 712 1.3× 200 0.4× 372 0.9× 62 2.8k

Countries citing papers authored by Yasushi Uchiyama

Since Specialization
Citations

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

Fields of papers citing papers by Yasushi Uchiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasushi Uchiyama

This figure shows the co-authorship network connecting the top 25 collaborators of Yasushi Uchiyama. A scholar is included among the top collaborators of Yasushi Uchiyama 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 Yasushi Uchiyama. Yasushi Uchiyama 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
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Uchiyama, Yasushi, et al.. (2019). Role of the BDNF-TrkB pathway in KCC2 regulation and rehabilitation following neuronal injury: A mini review. Neurochemistry International. 128. 32–38. 42 indexed citations
4.
Mizuta, Yohei, et al.. (2016). Analysis of Body Alignments of Patients with Medial Knee Osteoarthritis. Rigakuryoho Kagaku. 31(5). 661–666.
5.
Okada, Masaji, Yoko Kita, Noriko Kanamaru, et al.. (2011). Anti-IL-6 Receptor Antibody Causes Less Promotion of Tuberculosis Infection than Anti-TNF- Antibody in Mice. SHILAP Revista de lepidopterología. 2011. 1–9. 20 indexed citations
6.
Hashizume, Misato, et al.. (2009). Tocilizumab, a humanized anti-interleukin-6 receptor antibody, improved anemia in monkey arthritis by suppressing IL-6-induced hepcidin production. Rheumatology International. 30(7). 917–923. 63 indexed citations
7.
Uchiyama, Yasushi, Nobuo Koike, & Masahiko Mihara. (2008). Anemia in monkey collagen-induced arthritis is correlated with serum IL-6, but not TNFα. Rheumatology International. 28(9). 879–883. 10 indexed citations
8.
Uchiyama, Yasushi, Hiroto Yoshida, Nobuo Koike, et al.. (2008). Anti-IL-6 receptor antibody increases blood IL-6 level via the blockade of IL-6 clearance, but not via the induction of IL-6 production. International Immunopharmacology. 8(11). 1595–1601. 39 indexed citations
9.
Kato, Atsuhiko, Saori Matsuo, H. TAKAI, et al.. (2008). Early effects of tocilizumab on bone and bone marrow lesions in a collagen-induced arthritis monkey model. Experimental and Molecular Pathology. 84(3). 262–270. 31 indexed citations
10.
Lee, Bum-Suk, et al.. (2007). Sympathetic activity in the upper limb as a function of type of decubitus: Evaluation by skin conductance. Autonomic Neuroscience. 137(1-2). 105–106. 1 indexed citations
12.
Capuano, Paola, Carsten A. Wagner, Desa Bacic, et al.. (2005). Intestinal and renal adaptation to a low-Pi diet of type II NaPi cotransporters in vitamin D receptor- and 1αOHase-deficient mice. American Journal of Physiology-Cell Physiology. 288(2). C429–C434. 105 indexed citations
13.
Kubodera, Noboru, et al.. (2003). A new active vitamin D analog, ED‐71, causes increase in bone mass with preferential effects on bone in osteoporotic patients. Journal of Cellular Biochemistry. 88(2). 286–289. 44 indexed citations
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Yasuda, Yoh, Takashi Kageyama, A. Akamine, et al.. (1999). Characterization of New Fluorogenic Substrates for the Rapid and Sensitive Assay of Cathepsin E and Cathepsin D. The Journal of Biochemistry. 125(6). 1137–1143. 134 indexed citations
16.
Uchiyama, Yasushi, et al.. (1994). Postural Regulability on the Sitting Position and Its Application to Physical Therapy Field.. 21(3). 179–185. 1 indexed citations
17.
Nishimura, Takashi, Yasushi Uchiyama, & Yoshiyuki Hashimoto. (1988). In vivo generation of lymphokine-activated killer cells by sensitization with interleukin 2-producing syngeneic T-lymphoma cells. Cellular Immunology. 112(1). 220–225. 7 indexed citations
18.
Uchiyama, Yasushi, et al.. (1987). Sensory Reeducation in the hand with peripheral nerve injury of upper extremity.. 14. 365–372.
19.
Nishimura, Takashi, Yuji Togashi, Makiko Goto, et al.. (1986). Augmentation of the therapeutic efficacy of adoptive tumor immunotherapy by in vivo administration of slowly released recombinant interleukin 2. Cancer Immunology Immunotherapy. 21(1). 12–18. 48 indexed citations
20.
Nishimura, Takashi, Hideki Yagi, Hideo Yagita∥, Yasushi Uchiyama, & Yoshiyuki Hashimoto. (1985). Lymphokine-activated cell-associated antigen involved in broad-reactive killer cell-mediated cytotoxicity. Cellular Immunology. 94(1). 122–132. 50 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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