Kei Nakayama

1.7k total citations
74 papers, 1.4k citations indexed

About

Kei Nakayama is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Immunology. According to data from OpenAlex, Kei Nakayama has authored 74 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Health, Toxicology and Mutagenesis, 19 papers in Pollution and 19 papers in Immunology. Recurrent topics in Kei Nakayama's work include Environmental Toxicology and Ecotoxicology (33 papers), Aquaculture disease management and microbiota (18 papers) and Toxic Organic Pollutants Impact (18 papers). Kei Nakayama is often cited by papers focused on Environmental Toxicology and Ecotoxicology (33 papers), Aquaculture disease management and microbiota (18 papers) and Toxic Organic Pollutants Impact (18 papers). Kei Nakayama collaborates with scholars based in Japan, South Korea and United States. Kei Nakayama's co-authors include Yuji Oshima, Shin‐Ichi Kitamura, Tsuneo Honjo, Shinsuke Tanabe, Yasunori Murakami, Jun‐Young Song, Ik Joon Kang, Tomohiko Isobe, Yohei Shimasaki and Nobuyoshi Imada and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Kei Nakayama

72 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kei Nakayama Japan 22 726 325 248 230 221 74 1.4k
Natacha Hogan Canada 22 476 0.7× 315 1.0× 183 0.7× 127 0.6× 109 0.5× 79 1.2k
António Paulo Carvalho Portugal 23 428 0.6× 262 0.8× 257 1.0× 246 1.1× 99 0.4× 53 1.4k
Ik Joon Kang Japan 20 673 0.9× 557 1.7× 472 1.9× 95 0.4× 147 0.7× 40 1.4k
Ibon Cancio Spain 26 1.3k 1.8× 499 1.5× 154 0.6× 112 0.5× 264 1.2× 66 2.1k
Natesan Munuswamy India 23 934 1.3× 597 1.8× 171 0.7× 112 0.5× 97 0.4× 94 1.9k
Zhihao Liu China 21 500 0.7× 189 0.6× 280 1.1× 86 0.4× 84 0.4× 48 1.2k
Andrea Lister Canada 17 361 0.5× 304 0.9× 413 1.7× 125 0.5× 63 0.3× 28 1.1k
Shaw Bamber United Kingdom 20 710 1.0× 277 0.9× 86 0.3× 91 0.4× 147 0.7× 37 1.2k
Carlos Eduardo da Rosa Brazil 23 528 0.7× 378 1.2× 94 0.4× 139 0.6× 55 0.2× 44 1.3k
David C. Volz United States 32 1.4k 1.9× 475 1.5× 176 0.7× 105 0.5× 65 0.3× 83 2.4k

Countries citing papers authored by Kei Nakayama

Since Specialization
Citations

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

Fields of papers citing papers by Kei Nakayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kei Nakayama

This figure shows the co-authorship network connecting the top 25 collaborators of Kei Nakayama. A scholar is included among the top collaborators of Kei Nakayama 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 Kei Nakayama. Kei Nakayama 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.
Tanaka, Kosuke, Atsuko Amano, Takuya Itaki, et al.. (2025). Distribution and accumulation patterns of tire-derived particles in coastal and lake sediments. Water Research. 286. 124278–124278.
2.
Nakayama, Kei, et al.. (2022). Determination of the relative potencies of brominated dioxins for risk assessment in aquatic environments using the early-life stage of Japanese medaka. Ecotoxicology and Environmental Safety. 247. 114227–114227. 5 indexed citations
4.
Suzuki, Go, et al.. (2021). Emission of Dioxin-like Compounds and Flame Retardants from Commercial Facilities Handling Deca-BDE and Their Downstream Sewage Treatment Plants. Environmental Science & Technology. 55(4). 2324–2335. 19 indexed citations
5.
6.
Nakayama, Kei, et al.. (2017). Use of common carp (Cyprinus carpio) and Aeromonas salmonicida for detection of immunomodulatory effects of chemicals on fish. Marine Pollution Bulletin. 124(2). 710–713. 17 indexed citations
7.
Song, Jun‐Young, Yoshihiro Yokoyama, Euichi Hirose, et al.. (2017). Analysis of genes encoding high-antigenicity polypeptides in three serotypes of Miamiensis avidus. Parasitology International. 67(2). 196–202. 7 indexed citations
8.
Kitamura, Shin‐Ichi, et al.. (2017). Identification of Quantitative Trait Loci for Resistance to RSIVD in Red Sea Bream (Pagrus major). Marine Biotechnology. 19(6). 601–613. 24 indexed citations
9.
Fukui, Makiko, Daisuke Kurokawa, Masahumi Kawaguchi, et al.. (2017). Nervous system disruption and swimming abnormality in early-hatched pufferfish (Takifugu niphobles) larvae caused by pyrene is independent of aryl hydrocarbon receptors. Marine Pollution Bulletin. 124(2). 792–797. 4 indexed citations
10.
Song, Jun‐Young, et al.. (2014). Host responses of Japanese flounder Paralichthys olivaceus with lymphocystis cell formation. Fish & Shellfish Immunology. 38(2). 406–411. 20 indexed citations
11.
Nakayama, Kei, Yoshiyuki Inoue, Takeshi Ishibashi, et al.. (2014). Uptake and biological effects of synthetic glucocorticoids in common carp (Cyprinus carpio). Marine Pollution Bulletin. 85(2). 370–375. 12 indexed citations
12.
Nakayama, Kei, Eun‐Young Kim, Tatsuya Kunisue, et al.. (2011). Integrative assessment of potential effects of dioxins and related compounds in wild Baikal seals (Pusa sibirica): Application of microarray and biochemical analyses. Aquatic Toxicology. 105(1-2). 89–99. 12 indexed citations
13.
Murakami, Yasunori, et al.. (2008). Biological responses to chemical pollutants. 3 indexed citations
14.
Nakayama, Kei, Hiroki Sakai, Shin‐Ichi Kitamura, et al.. (2008). Comparison of Gene Expression Profiles in the Liver and Cultured Hepatic Cells from Wild Common Cormorants. 11(2). 75–81. 2 indexed citations
15.
Nakayama, Kei & Yuji Oshima. (2008). Adverse effects of tributyltin on reproduction of Japanese medaka, Oryzias latipes. 32(1). 67–76. 5 indexed citations
16.
Murakami, Yasunori, Shin‐Ichi Kitamura, Kei Nakayama, Satoru Matsuoka, & H Sakaguchi. (2008). Effects of heavy oil in the developing spotted halibut, Verasper variegatus. Marine Pollution Bulletin. 57(6-12). 524–528. 26 indexed citations
17.
Song, Jun‐Young, Kei Nakayama, Yasunori Murakami, et al.. (2008). Does heavy oil pollution induce bacterial diseases in Japanese flounder Paralichthys olivaceus?. Marine Pollution Bulletin. 57(6-12). 889–894. 28 indexed citations
18.
Oshima, Yuji, Jiro Koyama, Kei Nakayama, et al.. (2004). Use of hepatic CYP1A1 activity in Japanese flounder to monitor oil dispersed from the Nakhodka spill. 7(2). 123–129. 3 indexed citations
19.
Oshima, Yuji, Tatsusuke Takeda, Yoshiyuki Inoue, et al.. (2004). Relationship between temperature and pharmacokinetic parameters of florfenicol in carp (Cyprinus carpio). 7(2). 61–68. 10 indexed citations
20.
Nakayama, Kei, et al.. (1977). Hazards of organic chlorine compounds to the health of children. 6(1). 9–19. 6 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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