Kae Nakamura

5.7k total citations
102 papers, 4.6k citations indexed

About

Kae Nakamura is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Kae Nakamura has authored 102 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Molecular Biology and 22 papers in Electrical and Electronic Engineering. Recurrent topics in Kae Nakamura's work include Plasma Applications and Diagnostics (40 papers), Surface Modification and Superhydrophobicity (15 papers) and Plasma Diagnostics and Applications (14 papers). Kae Nakamura is often cited by papers focused on Plasma Applications and Diagnostics (40 papers), Surface Modification and Superhydrophobicity (15 papers) and Plasma Diagnostics and Applications (14 papers). Kae Nakamura collaborates with scholars based in Japan, United States and China. Kae Nakamura's co-authors include Hiroaki Kajiyama, Hiromasa Tanaka, Masaru Hori, Fumitaka Kikkawa, Masaaki Mizuno, Kenji Ishikawa, Hiroyuki Kano, Ken Matsuoka, Fumi Utsumi and Masafumi Kuzuya and has published in prestigious journals such as Circulation, The Journal of Cell Biology and Applied Physics Letters.

In The Last Decade

Kae Nakamura

102 papers receiving 4.5k citations

Peers

Kae Nakamura
Henry C. Marsh United States
Charles R. Keese United States
Lawrence W. Dobrucki United States
Pilhan Kim South Korea
Dong Liang United States
Ji Yi United States
Peter M. Corry United States
Vladimir V. Shuvaev United States
Henry C. Marsh United States
Kae Nakamura
Citations per year, relative to Kae Nakamura Kae Nakamura (= 1×) peers Henry C. Marsh

Countries citing papers authored by Kae Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Kae Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kae Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Kae Nakamura. A scholar is included among the top collaborators of Kae Nakamura 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 Kae Nakamura. Kae Nakamura 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.
Yokoi, Akira, Kaname Uno, Kosuke Yoshida, et al.. (2023). Small Extracellular Vesicles from adipose-derived stem cells suppress cell proliferation by delivering the let-7 family of microRNAs in ovarian cancer. Biochemical and Biophysical Research Communications. 680. 211–219. 6 indexed citations
2.
Tanaka, Hiromasa, Kenji Ishikawa, Hiroshi Hashizume, et al.. (2021). Enhancement of ethanol production and cell growth in budding yeast by direct irradiation of low-temperature plasma. Japanese Journal of Applied Physics. 61(SA). SA1007–SA1007. 1 indexed citations
3.
Kawasaki, Yuki, Yosuke Murakami, Takeshi Sasaki, et al.. (2021). A double-barrelled aorta with high aortic Arch. Journal of Cardiology Cases. 24(6). 284–286. 2 indexed citations
4.
Yoshikawa, Nobuhisa, Wenting Liu, Kae Nakamura, et al.. (2020). Plasma-activated medium promotes autophagic cell death along with alteration of the mTOR pathway. Scientific Reports. 10(1). 1614–1614. 52 indexed citations
5.
Kawasaki, Yuki, Yosuke Murakami, Eiji Ehara, et al.. (2019). A rare case of truncus arteriosus Van Praagh type A3: Prenatal diagnosis and postnatal management. Journal of Cardiology Cases. 20(1). 30–34. 2 indexed citations
6.
Kurake, Naoyuki, Hiromasa Tanaka, Kenji Ishikawa, et al.. (2017). Crystallization of calcium oxalate dihydrate in a buffered calcium-containing glucose solution by irradiation with non-equilibrium atmospheric pressure plasma. Journal of Applied Physics. 122(14). 2 indexed citations
7.
Sato, Yusuke, Suguru Yamada, Shigeomi Takeda, et al.. (2017). Effect of Plasma-Activated Lactated Ringer’s Solution on Pancreatic Cancer Cells In Vitro and In Vivo. Annals of Surgical Oncology. 25(1). 299–307. 77 indexed citations
8.
Takeda, Shigeomi, Suguru Yamada, Norifumi Hattori, et al.. (2017). Intraperitoneal Administration of Plasma-Activated Medium: Proposal of a Novel Treatment Option for Peritoneal Metastasis From Gastric Cancer. Annals of Surgical Oncology. 24(5). 1188–1194. 80 indexed citations
9.
Tanaka, Hiromasa, Kae Nakamura, Masaaki Mizuno, et al.. (2016). Non-thermal atmospheric pressure plasma activates lactate in Ringer’s solution for anti-tumor effects. Scientific Reports. 6(1). 36282–36282. 186 indexed citations
10.
Yoshikawa, Nobuhisa, Hiroaki Kajiyama, Kae Nakamura, et al.. (2016). PRIMA-1MET induces apoptosis through accumulation of intracellular reactive oxygen species irrespective of p53 status and chemo-sensitivity in epithelial ovarian cancer cells. Oncology Reports. 35(5). 2543–2552. 28 indexed citations
11.
Kurake, Naoyuki, Hiromasa Tanaka, Kenji Ishikawa, et al.. (2015). Antitumor effect of synergistic contribution of nitrite and hydrogen peroxide in the plasma activated medium. Bulletin of the American Physical Society. 1 indexed citations
12.
Ye, Fuxiang, Hiroki Kaneko, Yosuke Nagasaka, et al.. (2015). Plasma-activated medium suppresses choroidal neovascularization in mice: a new therapeutic concept for age-related macular degeneration. Scientific Reports. 5(1). 7705–7705. 48 indexed citations
13.
Sasaki, Takeshi, Kae Nakamura, Satoshi Okada, et al.. (2012). Matrix metalloproteinase-2 deficiency impairs aortic atherosclerotic calcification in ApoE-deficient mice. Atherosclerosis. 227(1). 43–50. 37 indexed citations
14.
Sasaki, Takeshi, Masafumi Kuzuya, Kae Nakamura, et al.. (2010). AT1 blockade attenuates atherosclerotic plaque destabilization accompanied by the suppression of cathepsin S activity in apoE-deficient mice. Atherosclerosis. 210(2). 430–437. 37 indexed citations
15.
Nakamura, Kae, Takeshi Sasaki, Xian Wu Cheng, et al.. (2009). Statin prevents plaque disruption in apoE-knockout mouse model through pleiotropic effect on acute inflammation. Atherosclerosis. 206(2). 355–361. 54 indexed citations
16.
Yamagishi, Sho‐ichi, et al.. (2007). Pigment Epithelium-derived Factor (PEDF) Blocks Advanced Glycation End Product (AGE)-induced Angiogenesis In Vitro. Hormone and Metabolic Research. 39(3). 233–235. 15 indexed citations
17.
Sasaki, Takeshi, Masafumi Kuzuya, Xian Wu Cheng, et al.. (2004). A novel model of occlusive thrombus formation in mice. Laboratory Investigation. 84(11). 1526–1532. 17 indexed citations
18.
KOIDE, YOSHINOBU, Ken Matsuoka, Masa‐aki Ohto, & Kae Nakamura. (1999). The N-Terminal Propeptide and the C Terminus of the Precursor to 20-kilo-dalton Potato Tuber Protein Can Function as Different Types of Vacuolar Sorting Signals. Plant and Cell Physiology. 40(11). 1152–1159. 22 indexed citations
19.
Imanishi, Shunsuke, et al.. (1997). A Major Jasmonate-Inducible Protein of Sweet Potato, Ipomoelin, is an ABA-Independent Wound-Inducible Protein. Plant and Cell Physiology. 38(6). 643–652. 35 indexed citations
20.
Nakamura, Kae & Ken Matsuoka. (1993). Protein Targeting to the Vacuole in Plant Cells. PLANT PHYSIOLOGY. 101(1). 1–5. 107 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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