Takahisa Noto

759 total citations
47 papers, 636 citations indexed

About

Takahisa Noto is a scholar working on Molecular Biology, Surgery and Transplantation. According to data from OpenAlex, Takahisa Noto has authored 47 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Surgery and 11 papers in Transplantation. Recurrent topics in Takahisa Noto's work include Renal Transplantation Outcomes and Treatments (11 papers), Histone Deacetylase Inhibitors Research (6 papers) and Organ Transplantation Techniques and Outcomes (5 papers). Takahisa Noto is often cited by papers focused on Renal Transplantation Outcomes and Treatments (11 papers), Histone Deacetylase Inhibitors Research (6 papers) and Organ Transplantation Techniques and Outcomes (5 papers). Takahisa Noto collaborates with scholars based in Japan, United States and Netherlands. Takahisa Noto's co-authors include Seitaro Mutoh, Hideaki Matsuoka, Ichiro Aramori, Nobuya Matsuoka, Yasuhisa Furuichi, Yuji Sudo, Hiroaki Mori, Masahiko Matsuo, Yuji Oishi and Takehiko Yanagihara and has published in prestigious journals such as Brain Research, Journal of Pharmacology and Experimental Therapeutics and Biochemical Pharmacology.

In The Last Decade

Takahisa Noto

45 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takahisa Noto Japan 17 280 74 68 66 66 47 636
C Hanusch Germany 13 181 0.6× 68 0.9× 82 1.2× 143 2.2× 140 2.1× 29 612
U. Machein Germany 7 136 0.5× 85 1.1× 64 0.9× 117 1.8× 156 2.4× 12 573
Longsheng Hong United States 13 357 1.3× 55 0.7× 143 2.1× 132 2.0× 303 4.6× 22 965
Maja Matić Netherlands 17 348 1.2× 25 0.3× 66 1.0× 80 1.2× 104 1.6× 41 1.1k
Masashi Maeda Japan 14 166 0.6× 131 1.8× 56 0.8× 63 1.0× 18 0.3× 47 549
Edward Kim United States 12 135 0.5× 67 0.9× 131 1.9× 95 1.4× 58 0.9× 26 560
F. Scatena Italy 13 231 0.8× 57 0.8× 104 1.5× 202 3.1× 74 1.1× 34 701
Christian Goepfert United States 15 238 0.8× 65 0.9× 157 2.3× 448 6.8× 112 1.7× 16 994
Kim E. Olson United States 13 180 0.6× 76 1.0× 162 2.4× 108 1.6× 50 0.8× 17 779
Olga Tornavaca Spain 7 265 0.9× 35 0.5× 50 0.7× 48 0.7× 51 0.8× 8 573

Countries citing papers authored by Takahisa Noto

Since Specialization
Citations

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

Fields of papers citing papers by Takahisa Noto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takahisa Noto

This figure shows the co-authorship network connecting the top 25 collaborators of Takahisa Noto. A scholar is included among the top collaborators of Takahisa Noto 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 Takahisa Noto. Takahisa Noto 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.
Harada, Daisuke, Takahisa Noto, & Junya Takagawa. (2024). Multifaced risk factors and clinical impact of a deep Y descent in patients with heart failure irrespective of RV-PA coupling. IJC Heart & Vasculature. 53. 101439–101439.
2.
Katsuta, Osamu, Takahisa Noto, Ryo Iwamura, et al.. (2020). The Antiglaucoma Agent and EP2 Receptor Agonist Omidenepag Does Not Affect Eyelash Growth in Mice. Journal of Ocular Pharmacology and Therapeutics. 36(7). 529–533. 17 indexed citations
3.
Nakamura, Koji, Yoko Kaneko, T. Nakanishi, et al.. (2017). Prevention of chronic renal allograft rejection by AS2553627, a novel JAK inhibitor, in a rat transplantation model. Transplant Immunology. 46. 14–20. 4 indexed citations
4.
Katsuta, Osamu, et al.. (2017). Spontaneous nephroblastoma with oncocytic differentiation in a Japanese White rabbit. Journal of Toxicologic Pathology. 30(2). 169–175. 1 indexed citations
5.
Nakamura, Koji, Masamichi Inami, Misato Ito, et al.. (2016). AS2553627, a novel JAK inhibitor, prevents chronic rejection in rat cardiac allografts. European Journal of Pharmacology. 796. 69–75. 11 indexed citations
6.
7.
8.
Kanki, Masayuki, Takahisa Noto, Shunji Nakatsuji, et al.. (2015). Altered gene expression profile in ovarian follicle in rats treated with indomethacin and RU486. The Journal of Toxicological Sciences. 40(3). 413–425. 9 indexed citations
9.
Noto, Takahisa, et al.. (2014). Antiproteinuric effect of pirfenidone in a rat model of anti-glomerular basement membrane glomerulonephritis. European Journal of Pharmacology. 737. 106–116. 13 indexed citations
10.
Nagakura, Yukinori, Masayasu Takahashi, Takahisa Noto, et al.. (2011). Different pathophysiology underlying animal models of fibromyalgia and neuropathic pain: Comparison of reserpine-induced myalgia and chronic constriction injury rats. Behavioural Brain Research. 226(1). 242–249. 40 indexed citations
11.
Nakanishi, T., et al.. (2010). Effect of the inosine 5′-monophosphate dehydrogenase inhibitor BMS-566419 on renal fibrosis in unilateral ureteral obstruction in rats. International Immunopharmacology. 10(11). 1434–1439. 5 indexed citations
12.
Yamada, Toshiko, Takahisa Noto, Hideaki Matsuoka, et al.. (2008). Effect of a New Immunosuppressant Histon Deacetylase (HDAC) Inhibitor FR276457 in a Rat Cardiac Transplant Model. Biological and Pharmaceutical Bulletin. 31(9). 1723–1726. 19 indexed citations
13.
Maeda, Masashi, Yasuhisa Furuichi, Takahisa Noto, et al.. (2008). Tacrolimus (FK506) suppresses rt-PA-induced hemorrhagic transformation in a rat thrombotic ischemia stroke model. Brain Research. 1254. 99–108. 20 indexed citations
14.
Matsuoka, Hideaki, Akira Unami, Takahisa Noto, et al.. (2007). Mechanisms of HDAC inhibitor-induced thrombocytopenia. European Journal of Pharmacology. 571(2-3). 88–96. 37 indexed citations
15.
Noto, Takahisa, et al.. (2007). Expression profiles of cytokines and chemokines in murine MDR1a-/- colitis. Inflammation Research. 56(11). 439–446. 16 indexed citations
16.
Tomita, Masayuki, Shunji Nakatsuji, Takahisa Noto, et al.. (2005). Monoclonal antibody 1-22-3-induced glomerulonephritis in uninephrectomized rats as a model of progressive renal failure. Nephrology Dialysis Transplantation. 20(11). 2358–2367. 12 indexed citations
17.
Sasakawa, Yuka, Yoshinori Naoe, Takahisa Noto, et al.. (2003). Antitumor efficacy of FK228, a novel histone deacetylase inhibitor, depends on the effect on expression of angiogenesis factors. Biochemical Pharmacology. 66(6). 897–906. 67 indexed citations
18.
Shariatmadar, Sherry & Takahisa Noto. (2002). Therapeutic plasma exchange in recurrent focal segmental glomerulosclerosis following transplantation. Journal of Clinical Apheresis. 17(2). 78–83. 8 indexed citations
19.
Noto, Takahisa, et al.. (2000). Potentiation of Penile Tumescence by T-1032, a New Potent and Specific Phosphodiesterase Type V Inhibitor, in Dogs. Journal of Pharmacology and Experimental Therapeutics. 294(3). 870–875. 19 indexed citations
20.
Yamauchi, Kenji, et al.. (2000). COLLABORATIVE WORK TO EVALUATE TOXICITY ON MALE REPRODUCTIVE ORGANS BY REPEATED DOSE STUDIES IN RATS : 7)EFFECTS OF RESERPINE IN 2-AND 4-WEEKS STUDIES. The Journal of Toxicological Sciences. 25(SpecialIssue). 79–85. 5 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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