Nao Kagawa

814 total citations
44 papers, 647 citations indexed

About

Nao Kagawa is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Social Psychology. According to data from OpenAlex, Nao Kagawa has authored 44 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Health, Toxicology and Mutagenesis and 11 papers in Social Psychology. Recurrent topics in Nao Kagawa's work include Neuroendocrine regulation and behavior (11 papers), Effects and risks of endocrine disrupting chemicals (10 papers) and Physiological and biochemical adaptations (9 papers). Nao Kagawa is often cited by papers focused on Neuroendocrine regulation and behavior (11 papers), Effects and risks of endocrine disrupting chemicals (10 papers) and Physiological and biochemical adaptations (9 papers). Nao Kagawa collaborates with scholars based in Japan. Nao Kagawa's co-authors include Tetsuji Nagao, Yasuo Mugiya, Munekazu Komada, Kazuo Fujikawa, Akinori Takai, Yayoi Ikeda, Yasuo Mugiya, Akira Nakayama, Ryo Kawabe and Kazutaka Katoh and has published in prestigious journals such as PLoS ONE, Scientific Reports and Cellular and Molecular Life Sciences.

In The Last Decade

Nao Kagawa

44 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nao Kagawa Japan 18 168 135 127 88 83 44 647
Ewa Sokołowska Poland 16 70 0.4× 148 1.1× 120 0.9× 83 0.9× 168 2.0× 33 814
João Gabriel Santos Rosa Brazil 13 90 0.5× 56 0.4× 86 0.7× 52 0.6× 101 1.2× 20 618
François Dubé Canada 19 49 0.3× 146 1.1× 267 2.1× 73 0.8× 87 1.0× 36 1.0k
John M. Matter United States 10 676 4.0× 120 0.9× 107 0.8× 116 1.3× 117 1.4× 10 1.3k
Károly Elekes Hungary 17 56 0.3× 144 1.1× 143 1.1× 155 1.8× 58 0.7× 51 733
Shengya Guo China 9 99 0.6× 69 0.5× 307 2.4× 97 1.1× 90 1.1× 14 989
Caroline Vignet France 14 360 2.1× 61 0.5× 77 0.6× 55 0.6× 18 0.2× 21 652
Saumen Kumar Maitra India 20 55 0.3× 128 0.9× 103 0.8× 55 0.6× 105 1.3× 58 1.1k
Minoru Takase Japan 18 152 0.9× 65 0.5× 369 2.9× 53 0.6× 105 1.3× 34 1.1k
Sarah L. Alderman Canada 16 144 0.9× 381 2.8× 73 0.6× 60 0.7× 85 1.0× 29 897

Countries citing papers authored by Nao Kagawa

Since Specialization
Citations

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

Fields of papers citing papers by Nao Kagawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nao Kagawa

This figure shows the co-authorship network connecting the top 25 collaborators of Nao Kagawa. A scholar is included among the top collaborators of Nao Kagawa 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 Nao Kagawa. Nao Kagawa 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.
Nakayama, Akira, et al.. (2019). The neonicotinoids acetamiprid and imidacloprid impair neurogenesis and alter the microglial profile in the hippocampal dentate gyrus of mouse neonates. Journal of Applied Toxicology. 39(6). 877–887. 33 indexed citations
3.
Kagawa, Nao, et al.. (2017). Social rank-dependent expression of gonadotropin-releasing hormones and kisspeptin in the medaka brain. General and Comparative Endocrinology. 249. 48–54. 22 indexed citations
4.
Komada, Munekazu, et al.. (2017). Mechanisms underlying neuro-inflammation and neurodevelopmental toxicity in the mouse neocortex following prenatal exposure to ethanol. Scientific Reports. 7(1). 4934–4934. 51 indexed citations
5.
Komada, Munekazu, et al.. (2016). Prenatal exposure to di(2-ethylhexyl) phthalate impairs development of the mouse neocortex. Toxicology Letters. 259. 69–79. 33 indexed citations
6.
Kagawa, Nao, et al.. (2015). Arginine vasotocin neuronal development and its projection in the adult brain of the medaka. Neuroscience Letters. 613. 47–53. 6 indexed citations
7.
Fukushima, Nobuyuki, et al.. (2015). Comparative analyses of lysophosphatidic acid receptor-mediated signaling. Cellular and Molecular Life Sciences. 72(12). 2377–2394. 25 indexed citations
8.
Komada, Munekazu, et al.. (2014). Newborn mice exposed prenatally to bisphenol A show hyperactivity and defective neocortical development. Toxicology. 323. 51–60. 41 indexed citations
9.
Morimoto, Yuji, et al.. (2014). Functional lysophosphatidic acid receptors expressed in Oryzias latipes. Gene. 551(2). 189–200. 4 indexed citations
10.
Takai, Akinori, et al.. (2014). Frequency and size of micronuclei induced in gill cells of medaka fish (Oryzias latipes) after whole-body exposure to clastogenic chemicals. Drug and Chemical Toxicology. 38(1). 67–72. 3 indexed citations
11.
Kagawa, Nao. (2008). Level of arginine vasotocin mRNA in the brain of medaka after exposure to stress. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 151(4). 458–458. 1 indexed citations
12.
Takai, Akinori, Nao Kagawa, & Kazuo Fujikawa. (2004). Dose‐ and time‐dependent responses for micronucleus induction by X‐rays and fast neutrons in gill cells of medaka (Oryzias latipes). Environmental and Molecular Mutagenesis. 44(2). 108–112. 17 indexed citations
13.
Takai, Akinori, Nao Kagawa, & Kazuo Fujikawa. (2004). Susceptibility of male and female medaka (Oryzias latipes) fish to spontaneous and X-ray induced micronucleus formation in gill cells. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 558(1-2). 131–136. 20 indexed citations
14.
15.
Kagawa, Nao, Masahiko Shimura, Akinori Takai, Satoru Endo, & Kazuo Fujikawa. (2004). Relative biological effectiveness of fission neutrons for induction of micronucleus formation in mouse reticulocytes in vivo. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 556(1-2). 93–99. 11 indexed citations
16.
Shimura, Masahiko, Nao Kagawa, & Kazuo Fujikawa. (2003). High sensitivity of p53(-/-) mice to spontaneous and X-ray induction of micronucleated reticulocytes. 449–449. 2 indexed citations
17.
Nagao, Tetsuji, Nao Kagawa, Madoka Nakagomi, & Kazuo Fujikawa. (2003). Increased Incidence of Malformations in the Offspring of Male Mice Prenatally Exposed to Synthetic Estrogens. Advances in experimental medicine and biology. 518. 211–217. 3 indexed citations
18.
Kagawa, Nao & Yasuo Mugiya. (2002). Brain HSP70 mRNA Expression is Linked with Plasma Cortisol Levels in Goldfish (Carassius auratus) Exposed to a Potential Predator. ZOOLOGICAL SCIENCE. 19(7). 735–740. 46 indexed citations
19.
Kagawa, Nao, Kiyotaka Nagaki, & Hisashi Tsujimoto. (2002). Tetrad-FISH analysis reveals recombination suppression by interstitial heterochromatin sequences in rye (Secale cereale). Molecular Genetics and Genomics. 267(1). 10–15. 7 indexed citations
20.

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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