Tetsuhiro Kudoh

3.3k total citations · 1 hit paper
54 papers, 2.7k citations indexed

About

Tetsuhiro Kudoh is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Tetsuhiro Kudoh has authored 54 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 15 papers in Cell Biology and 11 papers in Genetics. Recurrent topics in Tetsuhiro Kudoh's work include Developmental Biology and Gene Regulation (14 papers), Zebrafish Biomedical Research Applications (11 papers) and Congenital heart defects research (8 papers). Tetsuhiro Kudoh is often cited by papers focused on Developmental Biology and Gene Regulation (14 papers), Zebrafish Biomedical Research Applications (11 papers) and Congenital heart defects research (8 papers). Tetsuhiro Kudoh collaborates with scholars based in United Kingdom, United States and Japan. Tetsuhiro Kudoh's co-authors include Igor B. Dawid, Charles R. Tyler, Stephen W. Wilson, Okhyun Lee, Maciej Trznadel, Michael Tsang, Arthur David, Tetsu Akiyama, Robert Friesel and Keely S. Solomon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Environmental Science & Technology.

In The Last Decade

Tetsuhiro Kudoh

52 papers receiving 2.7k citations

Hit Papers

Acute Toxicity, Teratogenic, and Estrogenic Effects of Bi... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tetsuhiro Kudoh United Kingdom 24 1.6k 560 465 328 282 54 2.7k
M. Leonor Cancela Portugal 38 1.7k 1.0× 324 0.6× 393 0.8× 677 2.1× 146 0.5× 235 4.8k
Oswaldo Keith Okamoto Brazil 31 1.7k 1.0× 599 1.1× 137 0.3× 177 0.5× 380 1.3× 92 3.9k
Liangtao Li United States 29 1.6k 1.0× 304 0.5× 371 0.8× 157 0.5× 110 0.4× 79 4.1k
Maria Bondesson United States 26 1.3k 0.8× 492 0.9× 314 0.7× 530 1.6× 171 0.6× 56 2.7k
Yann Gibert United States 25 663 0.4× 333 0.6× 318 0.7× 211 0.6× 468 1.7× 75 2.1k
Meera Saxena India 31 1.9k 1.1× 522 0.9× 492 1.1× 176 0.5× 134 0.5× 52 3.5k
Myung Chan Gye South Korea 31 862 0.5× 620 1.1× 108 0.2× 354 1.1× 217 0.8× 134 2.7k
Satoshi Kitajima Japan 28 1.9k 1.2× 224 0.4× 152 0.3× 424 1.3× 72 0.3× 88 3.6k
Gerolamo Lanfranchi Italy 33 2.1k 1.3× 270 0.5× 289 0.6× 191 0.6× 83 0.3× 78 3.4k
Francesco Faiola China 30 1.6k 1.0× 773 1.4× 76 0.2× 144 0.4× 217 0.8× 86 2.8k

Countries citing papers authored by Tetsuhiro Kudoh

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuhiro Kudoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuhiro Kudoh

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuhiro Kudoh. A scholar is included among the top collaborators of Tetsuhiro Kudoh 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 Tetsuhiro Kudoh. Tetsuhiro Kudoh 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
2.
Helmstetter, Nicolas, Alexandra Brand, Duncan Wilson, et al.. (2025). Xenosiderophore transporter gene expression and clade-specific filamentation in Candida auris killifish (Aphanius dispar) infection. Communications Biology. 8(1). 1790–1790. 1 indexed citations
4.
Takesono, Aya, Nathaniel J. Clark, Richard D. Handy, et al.. (2023). Zinc oxide nanoparticles disrupt development and function of the olfactory sensory system impairing olfaction-mediated behaviour in zebrafish. Environment International. 180. 108227–108227. 11 indexed citations
5.
Takesono, Aya, Aaron Scott, Okhyun Lee, et al.. (2022). Estrogens regulate early embryonic development of the olfactory sensory system via estrogen-responsive glia. Development. 149(1). 7 indexed citations
6.
Takesono, Aya, Tetsuhiro Kudoh, & Charles R. Tyler. (2022). Application of Transgenic Zebrafish Models for Studying the Effects of Estrogenic Endocrine Disrupting Chemicals on Embryonic Brain Development. Frontiers in Pharmacology. 13. 718072–718072. 9 indexed citations
7.
Kudoh, Tetsuhiro, et al.. (2022). The diversity and evolution of electric organs in Neotropical knifefishes. EvoDevo. 13(1). 9–9. 3 indexed citations
8.
Kudoh, Tetsuhiro, et al.. (2021). Zebrafish as a Model for Fetal Alcohol Spectrum Disorders. Frontiers in Pharmacology. 12. 721924–721924. 7 indexed citations
10.
Lange, Anke, Aaron Scott, Maciej Trznadel, et al.. (2018). Early life exposure to ethinylestradiol enhances subsequent responses to environmental estrogens measured in a novel transgenic zebrafish. Scientific Reports. 8(1). 2699–2699. 16 indexed citations
11.
Shimizu, Keisuke, Minoru Iijima, Davin H. E. Setiamarga, et al.. (2013). Left-right asymmetric expression of dpp in the mantle of gastropods correlates with asymmetric shell coiling. EvoDevo. 4(1). 15–15. 22 indexed citations
12.
Lee, Okhyun, Aya Takesono, Masazumi Tada, Charles R. Tyler, & Tetsuhiro Kudoh. (2012). Biosensor Zebrafish Provide New Insights into Potential Health Effects of Environmental Estrogens. Environmental Health Perspectives. 120(7). 990–996. 59 indexed citations
13.
Lee, Okhyun, Charles R. Tyler, & Tetsuhiro Kudoh. (2012). Development of a transient expression assay for detecting environmental oestrogens in zebrafish and medaka embryos. BMC Biotechnology. 12(1). 32–32. 23 indexed citations
14.
Dente, Luciana, Gaia Gestri, Michael Tsang, et al.. (2011). Cloning and developmental expression of zebrafish pdzrn3. The International Journal of Developmental Biology. 55(10-11-12). 989–993. 11 indexed citations
16.
Hong, Sung‐Kook, Cheol‐Hee Kim, Kyeong‐Won Yoo, et al.. (2002). Isolation and expression of a novel neuron-specific onecut homeobox gene in zebrafish. Mechanisms of Development. 112(1-2). 199–202. 26 indexed citations
17.
Kudoh, Tetsuhiro & Igor B. Dawid. (2001). Role of the iroquois3 homeobox gene in organizer formation. Proceedings of the National Academy of Sciences. 98(14). 7852–7857. 45 indexed citations
18.
Kudoh, Tetsuhiro & Igor B. Dawid. (2001). Zebrafish mab21l2 is specifically expressed in the presumptive eye and tectum from early somitogenesis onwards. Mechanisms of Development. 109(1). 95–98. 22 indexed citations
19.
Dobashi, Yoh, Tetsuhiro Kudoh, Kumao Toyoshima, & Tetsu Akiyama. (1996). Persistent Activation of CDK4 during Neuronal Differentiation of Rat Pheochromocytoma PC12 Cells. Biochemical and Biophysical Research Communications. 221(2). 351–355. 15 indexed citations
20.
Dobashi, Yoh, Tetsuhiro Kudoh, Akihiko Matsumine, Kumao Toyoshima, & Tetsu Akiyama. (1995). Constitutive Overexpression of CDK2 Inhibits Neuronal Differentiation of Rat Pheochromocytoma PC12 Cells. Journal of Biological Chemistry. 270(39). 23031–23037. 81 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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