Daisuke Nakajima

3.9k total citations · 1 hit paper
153 papers, 2.8k citations indexed

About

Daisuke Nakajima is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Pollution. According to data from OpenAlex, Daisuke Nakajima has authored 153 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Health, Toxicology and Mutagenesis, 26 papers in Cancer Research and 20 papers in Pollution. Recurrent topics in Daisuke Nakajima's work include Toxic Organic Pollutants Impact (30 papers), Carcinogens and Genotoxicity Assessment (26 papers) and Air Quality and Health Impacts (21 papers). Daisuke Nakajima is often cited by papers focused on Toxic Organic Pollutants Impact (30 papers), Carcinogens and Genotoxicity Assessment (26 papers) and Air Quality and Health Impacts (21 papers). Daisuke Nakajima collaborates with scholars based in Japan, China and United States. Daisuke Nakajima's co-authors include Tsutomu Kobayashi, Kenji Takagishi, Atsushi Yamamoto, Toshihisa Osawa, Hitoshi Shitara, Takashi Yanagawa, Yusufcan Masatlıoĝlu, Erkut Özbay, Sumio Goto and Fujio Shiraishi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and American Economic Review.

In The Last Decade

Daisuke Nakajima

145 papers receiving 2.7k citations

Hit Papers

Prevalence and risk facto... 2009 2026 2014 2020 2009 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daisuke Nakajima Japan 24 975 774 722 281 258 153 2.8k
Chen Zhao China 42 317 0.3× 345 0.4× 224 0.3× 51 0.2× 180 0.7× 264 7.1k
Cuicui Wang China 47 175 0.2× 176 0.2× 2.2k 3.0× 575 2.0× 108 0.4× 283 6.7k
Young Han Lee South Korea 37 1.0k 1.1× 189 0.2× 132 0.2× 526 1.9× 54 0.2× 344 6.0k
Yang Wang China 24 97 0.1× 302 0.4× 200 0.3× 70 0.2× 463 1.8× 222 2.8k
Yan An China 34 209 0.2× 217 0.3× 329 0.5× 107 0.4× 74 0.3× 293 4.2k
Xiaowen Wang China 32 349 0.4× 396 0.5× 914 1.3× 172 0.6× 174 0.7× 227 3.6k
Jing Yang China 28 759 0.8× 101 0.1× 215 0.3× 95 0.3× 172 0.7× 169 2.9k
F. Kyle Satterstrom United States 19 61 0.1× 248 0.3× 182 0.3× 114 0.4× 114 0.4× 28 2.4k
Feng Li China 35 213 0.2× 147 0.2× 868 1.2× 82 0.3× 87 0.3× 158 4.1k

Countries citing papers authored by Daisuke Nakajima

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Nakajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Nakajima

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Nakajima. A scholar is included among the top collaborators of Daisuke Nakajima 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 Daisuke Nakajima. Daisuke Nakajima 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.
Ikeda, Kohei, Aya Hisada, Takamitsu Otake, et al.. (2025). Serum Concentrations of Fipronil and Metabolites in Japanese Pregnant Women: Relationship with Thyroid Hormone Levels. Toxics. 13(3). 213–213.
2.
Nakajima, Daisuke, et al.. (2024). Triethanolamine-based esterquat in sediments: New analytical method, environmental occurrence, and homologue composition. Chemosphere. 361. 142495–142495. 2 indexed citations
3.
Yamauchi, Ichiro, Yohei Ueda, Shoji F. Nakayama, et al.. (2023). TRIAC disrupts cerebral thyroid hormone action via negative feedback and heterogenous distribution among organs. iScience. 26(7). 107135–107135. 2 indexed citations
5.
Hamilton, Lisa, Fujio Shiraishi, Daisuke Nakajima, et al.. (2021). Assessment of the efficacy of an advanced tertiary sewage treatment plant to remove biologically active chemicals using endocrine and genotoxicity bioassays. Emerging contaminants. 7. 124–131. 2 indexed citations
6.
Nakayama, Takashi, et al.. (2021). Evaluation of identification accuracy using AIQS for GC-MS for measuring heavily contaminated samples. Chemosphere. 285. 131401–131401. 5 indexed citations
7.
Yamamoto, Junpei, Junko Ishihara, Yasuto Matsui, et al.. (2020). Acrylamide–Hemoglobin Adduct Levels in a Japanese Population and Comparison with Acrylamide Exposure Assessed by the Duplicated Method or a Food Frequency Questionnaire. Nutrients. 12(12). 3863–3863. 6 indexed citations
8.
Ohura, Takeshi, et al.. (2018). Distributions and multiple sources of chlorinated polycyclic aromatic hydrocarbons in the air over Japan. The Science of The Total Environment. 649. 364–371. 36 indexed citations
9.
Nishihama, Yukiko, et al.. (2017). Paraben exposure and semen quality of Japanese male partners of subfertile couples. Environmental Health and Preventive Medicine. 22(1). 5–5. 23 indexed citations
10.
Terasaki, Masanori, Michiko Yasuda, Kayoko Shimoi, et al.. (2014). Evaluation of sensitizers found in wastewater from paper recycling areas, and their activation of the aryl hydrocarbon receptor in vitro. The Science of The Total Environment. 493. 156–161. 3 indexed citations
11.
Kobayashi, Jun, Takeo Sakurai, Kaoruko Mizukawa, et al.. (2013). Respiratory uptake kinetics of neutral hydrophobic organic chemicals in a marine benthic fish, Pseudopleuronectes yokohamae. Chemosphere. 93(8). 1479–1486. 5 indexed citations
12.
Masatlıoĝlu, Yusufcan & Daisuke Nakajima. (2013). Choice by iterative search. Theoretical Economics. 8(3). 701–728. 41 indexed citations
13.
Nakajima, Daisuke, et al.. (2013). Environmental Monitoring in the Most Affected Areas by the Great East Japan Earthquake. TRENDS IN THE SCIENCES. 18(7). 7_26–7_33.
14.
Kamata, Ryo, K. Itoh, Daisuke Nakajima, et al.. (2011). The feasibility of using mosquitofish ( Gambusia affinis ) for detecting endocrine-disrupting chemicals in the freshwater environment. Environmental Toxicology and Chemistry. 30(12). 2778–2785. 6 indexed citations
15.
Shiraishi, Fujio, et al.. (2009). Monitoring of River Water Quality using Multiple Yeast Assays Transfected with a Cellular Receptor: Application Examples in Ibaraki Prefecture and Tokyo, Japan. Journal of Environmental Chemistry. 19(4). 509–517. 2 indexed citations
16.
Fujimaki, Hidekazu, Tin-Tin-Win-Shwe, Shoji Yamamoto, Daisuke Nakajima, & Sumio Goto. (2009). The expression of nerve growth factor in mice lung following low-level toluene exposure. Toxicology Letters. 191(2-3). 240–245. 13 indexed citations
17.
Masatlıoĝlu, Yusufcan & Daisuke Nakajima. (2009). Choice by Iterative Search. SSRN Electronic Journal. 5 indexed citations
18.
Itagaki, Masayuki, et al.. (2008). Electrochemical Noise Analysis of Pure Iron Corrosion by Wavelet Transformation with Channel Flow Electrode. Electrochemistry. 76(7). 471–479. 2 indexed citations
19.
Nakajima, Daisuke, Fujio Shiraishi, Satoru Takahashi, et al.. (2007). Applicability of the Luminescent umu Test to the Monitoring of Genotoxic Agents in River Water. Journal of Environmental Chemistry. 17(3). 453–460. 4 indexed citations
20.
Ikeda, Takashi, et al.. (2002). Two Cases of Peritonsillar Abscess in Children.. Practica Oto-Rhino-Laryngologica. 95(9). 939–943. 2 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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