Junko Sakamoto

630 total citations
21 papers, 503 citations indexed

About

Junko Sakamoto is a scholar working on Food Science, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Junko Sakamoto has authored 21 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Food Science, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Junko Sakamoto's work include Potato Plant Research (6 papers), Neuroscience and Neuropharmacology Research (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Junko Sakamoto is often cited by papers focused on Potato Plant Research (6 papers), Neuroscience and Neuropharmacology Research (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Junko Sakamoto collaborates with scholars based in Japan, Slovakia and Brazil. Junko Sakamoto's co-authors include Kazuo Hashimoto, Hideji Tanii, Masaomi Miyamoto, Masahiko Fujino, Chieko Kitada, Shiro Takekawa, Shoji Fukusumi, Hideki Kizawa, Shuji Hinuma and Kazuaki Kitano and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Medicinal Chemistry and Archives of Physical Medicine and Rehabilitation.

In The Last Decade

Junko Sakamoto

21 papers receiving 478 citations

Peers

Junko Sakamoto
Hongxia Chen China
G. Banchelli Italy
Chenghao Yu China
Azza M. Agha Egypt
Enas M. Moustafa Egypt
Jung Min Oh South Korea
Zakieh Keshavarzi Iran
Maurílio da Silva Morrone Brazil
Sufang Yu China
Atef Tadros Fahim Egypt
Hongxia Chen China
Junko Sakamoto
Citations per year, relative to Junko Sakamoto Junko Sakamoto (= 1×) peers Hongxia Chen

Countries citing papers authored by Junko Sakamoto

Since Specialization
Citations

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

Fields of papers citing papers by Junko Sakamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junko Sakamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Junko Sakamoto. A scholar is included among the top collaborators of Junko Sakamoto 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 Junko Sakamoto. Junko Sakamoto 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.
Nakayama, Atsuko, et al.. (2024). Comprehensive Cardiac Rehabilitation Following Acute Myocardial Infarction Improves Clinical Outcomes Regardless of Exercise Capacity. Circulation Journal. 88(6). 982–992. 5 indexed citations
2.
Sakamoto, Junko, et al.. (2024). Changes in cerebral glucose metabolism among mild long COVID patients: an [18F]FDG PET/CT study. Brazilian Journal of Medical and Biological Research. 57. e14228–e14228. 1 indexed citations
3.
Nakayama, Atsuko, Noriko Ishii, Junko Sakamoto, et al.. (2023). Remote Cardiac Rehabilitation With Wearable Devices. Korean Circulation Journal. 53(11). 727–727. 6 indexed citations
4.
Ando, Takashi, et al.. (2021). All-case Japanese post-marketing surveillance of the real-world safety and efficacy of rituximab treatment in patients with refractory nephrotic syndrome. Clinical and Experimental Nephrology. 25(8). 854–864. 5 indexed citations
5.
6.
Nomi, Yuri, Junko Sakamoto, Makiko Takenaka, Hiroshi Ono, & Masatsune Murata. (2011). Conditions for the Formation of Dilysyl-Dipyrrolones A and B, and Novel Yellow Dipyrrolone Derivatives Formed from Xylose and Amino Acids in the Presence of Lysine. Bioscience Biotechnology and Biochemistry. 75(2). 221–226. 15 indexed citations
7.
Sakamoto, Junko, Makiko Takenaka, Hiroshi Ono, & Masatsune Murata. (2009). Novel Yellow Compounds, Dilysyldipyrrolones A and B, Formed from Xylose and Lysine by the Maillard Reaction. Bioscience Biotechnology and Biochemistry. 73(9). 2065–2069. 16 indexed citations
8.
Saitoh, Masakazu, Atsuhiko Matsunaga, Kentaro Kamiya, et al.. (2005). Comparison of Cardiovascular Responses Between Upright and Recumbent Cycle Ergometers in Healthy Young Volunteers Performing Low-Intensity Exercise: Assessment of Reliability of the Oxygen Uptake Calculated by Using the ACSM Metabolic Equation. Archives of Physical Medicine and Rehabilitation. 86(5). 1024–1029. 14 indexed citations
9.
Takahashi, Hideki, Junko Sakamoto, Hiroyuki Ohta, & Masaomi Miyamoto. (2003). Age-related decrease in spontaneity observed in senescence-accelerated mice (SAMP10) and the involvement of the dopaminergic system in behavioral disorders. International Congress Series. 1260. 309–314. 5 indexed citations
10.
Miyamoto, Masaomi, Hideki Takahashi, Hiroyuki Ohta, & Junko Sakamoto. (1998). Animal Model of Brain Aging: Senescence‐Accelerated Mouse (SAM). CNS Drug Reviews. 4(4). 361–375. 10 indexed citations
11.
Fukusumi, Shoji, Chieko Kitada, Shiro Takekawa, et al.. (1997). Identification and Characterization of a Novel Human Cortistatin-like Peptide. Biochemical and Biophysical Research Communications. 232(1). 157–163. 136 indexed citations
12.
Ohkawa, Shigenori, K. Fukatsu, Tadatoshi Hashimoto, et al.. (1997). 5-Aminocoumarans:  Dual Inhibitors of Lipid Peroxidation and Dopamine Release with Protective Effects against Central Nervous System Trauma and Ischemia. Journal of Medicinal Chemistry. 40(4). 559–573. 53 indexed citations
13.
Sakamoto, Junko, et al.. (1996). Mode of Growth Inhibitory Activity and Metabolism of Imazosulfuron in Excised Roots of Plants. Journal of Pesticide Science. 21(3). 287–292. 8 indexed citations
14.
15.
Sakamoto, Junko & Kazuo Hashimoto. (1988). Effects of N,N?-methylene-bis-acrylamide (MBA) on mouse germ cells ? sperm count and morphology, and testicular pathology. Archives of Toxicology. 62(1). 54–59. 4 indexed citations
16.
Sakamoto, Junko, et al.. (1988). Histological changes of acrylamide-induced testicular lesions in mice. Experimental and Molecular Pathology. 48(3). 324–334. 22 indexed citations
17.
Sakamoto, Junko & Kazuo Hashimoto. (1986). Reproductive toxicity of acrylamide and related compounds in mice ? effects on fertility and sperm morphology. Archives of Toxicology. 59(4). 201–205. 82 indexed citations
18.
Sakamoto, Junko & Kazuo Hashimoto. (1985). Effect of acrylamide and related compounds on glycolytic enzymes in mouse brain in vitro. Archives of Toxicology. 57(4). 276–281. 10 indexed citations
19.
Hashimoto, Kazuo & Junko Sakamoto. (1982). Anemia and porphyria caused by N,N?-methylene-bis-acrylamide (MBA) in Mice and rats. Archives of Toxicology. 50(1). 47–55. 5 indexed citations
20.
Hashimoto, Kazuo, Junko Sakamoto, & Hideji Tanii. (1981). Neurotoxicity of acrylamide and related compounds and their effects on male gonads in mice. Archives of Toxicology. 47(3). 179–189. 88 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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