Ken Takeda

2.4k total citations
70 papers, 1.9k citations indexed

About

Ken Takeda is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Cancer Research. According to data from OpenAlex, Ken Takeda has authored 70 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Health, Toxicology and Mutagenesis, 21 papers in Pollution and 14 papers in Cancer Research. Recurrent topics in Ken Takeda's work include Air Quality and Health Impacts (42 papers), Energy and Environment Impacts (20 papers) and Carcinogens and Genotoxicity Assessment (13 papers). Ken Takeda is often cited by papers focused on Air Quality and Health Impacts (42 papers), Energy and Environment Impacts (20 papers) and Carcinogens and Genotoxicity Assessment (13 papers). Ken Takeda collaborates with scholars based in Japan, United States and Australia. Ken Takeda's co-authors include Shigeru Oshio, Seiichi Yoshida, Masakazu Umezawa, Isamu Sugawara, Hirohisa Takano, Atsuto Onoda, Naomi Tsukue, Satoshi Yokota, Takamichi Ichinose and Masao Sugamata and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Ken Takeda

70 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Takeda Japan 23 1.2k 437 406 228 196 70 1.9k
Shigeru Oshio Japan 24 839 0.7× 420 1.0× 279 0.7× 259 1.1× 135 0.7× 72 2.0k
Hidekazu Fujimaki Japan 29 1.4k 1.2× 222 0.5× 250 0.6× 297 1.3× 239 1.2× 123 2.5k
Tin‐Tin Win‐Shwe Japan 24 773 0.7× 152 0.3× 221 0.5× 284 1.2× 127 0.6× 79 1.6k
Lisa A. Opanashuk United States 24 812 0.7× 348 0.8× 147 0.4× 452 2.0× 113 0.6× 35 2.2k
J. N. Finkelstein United States 22 511 0.4× 276 0.6× 81 0.2× 328 1.4× 52 0.3× 37 2.0k
Joseph Bressler United States 28 1.2k 1.0× 79 0.2× 224 0.6× 707 3.1× 40 0.2× 78 2.8k
Christopher J. Wingard United States 30 375 0.3× 402 0.9× 75 0.2× 719 3.2× 36 0.2× 75 2.6k
Jason L. Blum United States 19 455 0.4× 113 0.3× 163 0.4× 265 1.2× 72 0.4× 38 1.0k
Keisuke Mizuo Japan 19 409 0.3× 145 0.3× 67 0.2× 275 1.2× 33 0.2× 44 1.5k

Countries citing papers authored by Ken Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Ken Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Takeda. A scholar is included among the top collaborators of Ken Takeda 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 Ken Takeda. Ken Takeda 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.
2.
Onoda, Atsuto, et al.. (2022). A Novel Staining Method for Detection of Brain Perivascular Injuries Induced by Nanoparticle: Periodic Acid-Schiff and Immunohistochemical Double-Staining. SHILAP Revista de lepidopterología. 4. 825984–825984. 1 indexed citations
3.
Onoda, Atsuto, Yasser El‐Sayed, Shuhei Ogawa, et al.. (2021). Effect of Carbon Black Nanoparticle on Neonatal Lymphoid Tissues Depending on the Gestational Period of Exposure in Mice. SHILAP Revista de lepidopterología. 3. 700392–700392. 1 indexed citations
4.
Li, Yingji, Ken Takeda, Masayuki Yamamoto, & Tomoyuki Kawada. (2021). Potential of NRF2 Pathway in Preventing Developmental and Reproductive Toxicity of Fine Particles. SHILAP Revista de lepidopterología. 3. 710225–710225. 3 indexed citations
5.
Onoda, Atsuto, Ken Takeda, & Masakazu Umezawa. (2018). Dysregulation of major functional genes in frontal cortex by maternal exposure to carbon black nanoparticle is not ameliorated by ascorbic acid pretreatment. The Science of The Total Environment. 634. 1126–1135. 10 indexed citations
6.
Onoda, Atsuto, Ken Takeda, & Masakazu Umezawa. (2017). Pretreatment with N-acetyl cysteine suppresses chronic reactive astrogliosis following maternal nanoparticle exposure during gestational period. Nanotoxicology. 11(8). 1012–1025. 18 indexed citations
7.
Onoda, Atsuto, Takayasu Kawasaki, Koichi Tsukiyama∥, Ken Takeda, & Masakazu Umezawa. (2017). Perivascular Accumulation of β-Sheet-Rich Proteins in Offspring Brain following Maternal Exposure to Carbon Black Nanoparticles. Frontiers in Cellular Neuroscience. 11. 92–92. 23 indexed citations
8.
Yokota, Satoshi, et al.. (2016). Social Isolation-Induced Territorial Aggression in Male Offspring Is Enhanced by Exposure to Diesel Exhaust during Pregnancy. PLoS ONE. 11(2). e0149737–e0149737. 47 indexed citations
9.
Li, Yingji, Takako Shimizu, Yukiyo Hirata, et al.. (2013). Diesel exhaust particle induce epithelial-to-mesenchymal transition by oxidative stress in human bronchial epithelial cell. European Respiratory Journal. 42(Suppl 57). P3896–P3896. 4 indexed citations
10.
Tsukue, Naomi, Manabu Watanabe, Takayuki Kumamoto, Hirohisa Takano, & Ken Takeda. (2009). Perinatal exposure to diesel exhaust affects gene expression in mouse cerebrum. Archives of Toxicology. 83(11). 985–1000. 21 indexed citations
11.
Yoshida, Seiichi, Kyoko Hiyoshi, Takamichi Ichinose, et al.. (2009). Effect of nanoparticles on the male reproductive system of mice. International Journal of Andrology. 32(4). 337–342. 124 indexed citations
12.
Yoshida, Seiichi, et al.. (2007). Diesel exhaust particles suppress expression of sex steroid hormone receptors in TM3 mouse Leydig cells. Environmental Toxicology and Pharmacology. 24(3). 292–296. 9 indexed citations
13.
Oshio, Shigeru, Seiichi Yoshida, Naomi Tsukue, et al.. (2007). Prenatal Exposure to Diesel Exhaust Impairs Mouse Spermatogenesis. Inhalation Toxicology. 19(3). 275–281. 52 indexed citations
14.
15.
Tsukue, Naomi, Manabu Watanabe, Isamu Sugawara, et al.. (2005). Diesel exhaust affects immunological action in the placentas of mice. Environmental Toxicology. 20(4). 431–440. 42 indexed citations
16.
Takeda, Ken. (1999). The Effect of Endocrine Disrupting Chemicals on the Male Reproductive System.. Waste Management Research. 10(4). 271–277. 1 indexed citations
17.
Yoshida, Seiichi, Masaru Sagai, Shigeru Oshio, et al.. (1999). Exposure to diesel exhaust affects the male reproductive system of mice. International Journal of Andrology. 22(5). 307–315. 116 indexed citations
18.
Yoshida, Seiichi, Hiroyuki Yamada, Isamu Sugawara, & Ken Takeda. (1998). Effect of Dibromochloropropane (DBCP) on the Hormone Receptors of the Male Rat Reproductive System.. Bioscience Biotechnology and Biochemistry. 62(3). 479–483. 13 indexed citations
19.
Takeda, Ken, Peter H. Barry, & Peter W. Gage. (1982). Effects of extracellular sodium concentration on null potential, conductance and open time of endplate channels. Proceedings of the Royal Society of London. Series B, Biological sciences. 216(1203). 225–251. 11 indexed citations
20.
Takeda, Ken, Peter H. Barry, & Peter W. Gage. (1980). Effects of ammonium ions on endplate channels.. The Journal of General Physiology. 75(5). 589–613. 11 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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