Naoto Yokota

2.0k total citations
48 papers, 1.3k citations indexed

About

Naoto Yokota is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Nutrition and Dietetics. According to data from OpenAlex, Naoto Yokota has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Cardiology and Cardiovascular Medicine and 8 papers in Nutrition and Dietetics. Recurrent topics in Naoto Yokota's work include Blood Pressure and Hypertension Studies (8 papers), Heart Failure Treatment and Management (6 papers) and Ubiquitin and proteasome pathways (5 papers). Naoto Yokota is often cited by papers focused on Blood Pressure and Hypertension Studies (8 papers), Heart Failure Treatment and Management (6 papers) and Ubiquitin and proteasome pathways (5 papers). Naoto Yokota collaborates with scholars based in Japan, United States and Canada. Naoto Yokota's co-authors include Hiroyuki Kawahara, Katsuhiko Mikoshiba, Takashi Kawasaki, Takahisa Taguchi, Nobuaki Maeda, Shinji Nakade, Michio Kasai, Hitoshi Sawada, Joseph F. DeBold and Benoit G. Bruneau and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Biochemical Journal.

In The Last Decade

Naoto Yokota

47 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoto Yokota Japan 19 634 264 227 172 168 48 1.3k
Daw‐Yang Hwang Taiwan 24 984 1.6× 85 0.3× 261 1.1× 208 1.2× 107 0.6× 77 1.9k
Maurice Bichara France 23 851 1.3× 111 0.4× 306 1.3× 128 0.7× 65 0.4× 52 1.4k
V. L. Schuster United States 20 1.0k 1.6× 215 0.8× 158 0.7× 183 1.1× 74 0.4× 33 1.8k
Angela Schulz Germany 27 1.1k 1.7× 364 1.4× 225 1.0× 206 1.2× 59 0.4× 77 2.0k
Søren Nielsen Denmark 22 817 1.3× 113 0.4× 230 1.0× 126 0.7× 51 0.3× 35 1.3k
Aleksandra Rojek Denmark 27 1.5k 2.3× 407 1.5× 101 0.4× 325 1.9× 129 0.8× 58 2.3k
Daniel G. Fuster Switzerland 25 1.1k 1.7× 82 0.3× 481 2.1× 305 1.8× 115 0.7× 94 2.1k
Jozef Lazar United States 27 656 1.0× 332 1.3× 232 1.0× 99 0.6× 39 0.2× 60 1.6k
Masahiro Naruse Japan 9 539 0.9× 218 0.8× 57 0.3× 157 0.9× 101 0.6× 16 1.6k
Wolfgang Neuhofer Germany 26 803 1.3× 108 0.4× 229 1.0× 136 0.8× 590 3.5× 54 1.7k

Countries citing papers authored by Naoto Yokota

Since Specialization
Citations

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

Fields of papers citing papers by Naoto Yokota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoto Yokota

This figure shows the co-authorship network connecting the top 25 collaborators of Naoto Yokota. A scholar is included among the top collaborators of Naoto Yokota 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 Naoto Yokota. Naoto Yokota 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.
Sugawara, Masahiro, Sunao Kojima, Ichiro Hisatome, et al.. (2024). Impacts of Febuxostat on Cerebral and Cardiovascular Events in Elderly Patients with Hyperuricemia: Post Hoc Analysis of a Randomized Controlled Trial. Clinical Pharmacology & Therapeutics. 115(6). 1358–1364. 4 indexed citations
2.
Takahashi, Toshiki, et al.. (2023). Protein quality control machinery supports primary ciliogenesis by eliminating GDP-bound Rab8-family GTPases. iScience. 26(5). 106652–106652. 3 indexed citations
3.
Yokota, Naoto, et al.. (2023). Proteotoxic stresses stimulate dissociation of UBL4A from the tail-anchored protein recognition complex. Biochemical Journal. 480(19). 1583–1598. 1 indexed citations
4.
Kojima, Sunao, Kazuaki Uchiyama, Naoto Yokota, et al.. (2022). C-reactive Protein Levels and Cardiovascular Outcomes After Febuxostat Treatment in Patients with Asymptomatic Hyperuricemia: Post-hoc Analysis of a Randomized Controlled Study. Cardiovascular Drugs and Therapy. 37(5). 965–974. 3 indexed citations
5.
Yokota, Naoto, et al.. (2020). BAG6 contributes to glucose uptake by supporting the cell surface translocation of the glucose transporter GLUT4. Biology Open. 9(1). 473241–473241. 9 indexed citations
6.
Shimada, Masumi, et al.. (2018). Novel phosphorelay-dependent control of ZFP36L1 protein during the cell cycle. Biochemical and Biophysical Research Communications. 501(2). 387–393. 2 indexed citations
7.
Kojima, Sunao, Kunihiko Matsui, Hisao Ogawa, et al.. (2016). Rationale, design, and baseline characteristics of a study to evaluate the effect of febuxostat in preventing cerebral, cardiovascular, and renal events in patients with hyperuricemia. Journal of Cardiology. 69(1). 169–175. 31 indexed citations
8.
Kuwabara, N., Naoto Yokota, Hirofumi Matsumoto, et al.. (2015). Structure of a BAG6 (Bcl-2-associated Athanogene 6)-Ubl4a (Ubiquitin-like Protein 4a) Complex Reveals a Novel Binding Interface That Functions in Tail-anchored Protein Biogenesis. Journal of Biological Chemistry. 290(15). 9387–9398. 27 indexed citations
9.
10.
Yano, Yuichiro, George L. Bakris, Takashi Inokuchi, et al.. (2013). Association of cognitive dysfunction with cardiovascular disease events in elderly hypertensive patients. Journal of Hypertension. 32(2). 423–431. 19 indexed citations
11.
Yano, Yuichiro, Satoshi Hoshide, Takashi Inokuchi, et al.. (2011). Regional Differences in Hypertensive Cardiovascular Remodeling Between Fishing and Farming Communities in Japan. American Journal of Hypertension. 24(4). 437–443. 16 indexed citations
12.
Yokota, Naoto, Yohei Kataoka, Noritaka Hashii, Nana Kawasaki, & Hitoshi Sawada. (2011). Sperm-specific C-terminal processing of the proteasome PSMA1/α6 subunit. Biochemical and Biophysical Research Communications. 410(4). 809–815. 8 indexed citations
13.
Hoshide, Satoshi, et al.. (2011). Synergistic effect of chronic kidney disease and high circulatory norepinephrine level on stroke risk in Japanese hypertensive patients. Atherosclerosis. 219(1). 273–279. 10 indexed citations
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16.
Kinoshita, Hiroshi, Shouichi Fujimoto, Kazuo Kitamura, et al.. (1999). Plasma and urine levels of adrenomedullin and proadrenomedullin N-terminal 20 peptide in chronic glomerulonephritis. American Journal of Kidney Diseases. 34(1). 114–119. 18 indexed citations
17.
Kinoshita, Hiroshi, Shouichi Fujimoto, Naoto Yokota, et al.. (1999). Plasma and Urine Levels of Uroguanylin, a New Natriuretic Peptide, in Nephrotic Syndrome. ˜The œNephron journals/Nephron journals. 81(2). 160–164. 39 indexed citations
18.
Yokota, Naoto, Yuki Yamamoto, Kazuo Kitamura, et al.. (1993). Alterations in circulating and cardiac tissue concentrations of brain natriuretic peptide in spontaneously hypertensive rats. Cardiovascular Research. 27(7). 1312–1315. 12 indexed citations
19.
Yokota, Naoto, Toshihiro Uchida, Akira Sasaki, et al.. (1991). Thyrotoxic Periodic Paralysis Complicated with Primary Aldosteronism.. Japanese Journal of Medicine. 30(3). 219–223. 6 indexed citations
20.
Yokota, Naoto, et al.. (1989). Paraplegia caused by brown tumor in primary hyperparathyroidism. Journal of neurosurgery. 71(3). 446–448. 24 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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