Yasuhito Shimada

4.4k total citations · 1 hit paper
92 papers, 3.5k citations indexed

About

Yasuhito Shimada is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Yasuhito Shimada has authored 92 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 39 papers in Cell Biology and 21 papers in Physiology. Recurrent topics in Yasuhito Shimada's work include Zebrafish Biomedical Research Applications (37 papers), Adipose Tissue and Metabolism (16 papers) and Adipokines, Inflammation, and Metabolic Diseases (12 papers). Yasuhito Shimada is often cited by papers focused on Zebrafish Biomedical Research Applications (37 papers), Adipose Tissue and Metabolism (16 papers) and Adipokines, Inflammation, and Metabolic Diseases (12 papers). Yasuhito Shimada collaborates with scholars based in Japan, China and United States. Yasuhito Shimada's co-authors include Norihiro Nishimura, Liqing Zang, Jacky Bhagat, Toshio Tanaka, Yuhei Nishimura, Junya Kuroyanagi, Noriko Umemoto, Minoru Hirano, Takehiko Oka and Hiroko Nakayama and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and PLoS ONE.

In The Last Decade

Yasuhito Shimada

90 papers receiving 3.4k citations

Hit Papers

Toxicological interactions of microplastics/nanoplastics ... 2020 2026 2022 2024 2020 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
Yasuhito Shimada Japan 31 1.0k 933 830 459 457 92 3.5k
Barbara Canonico Italy 34 1.2k 1.2× 589 0.6× 196 0.2× 446 1.0× 547 1.2× 117 3.8k
Liqing Zang Japan 23 562 0.5× 444 0.5× 548 0.7× 419 0.9× 207 0.5× 48 2.1k
Young Han Lee South Korea 38 2.7k 2.6× 611 0.7× 407 0.5× 216 0.5× 143 0.3× 193 5.8k
Hui Ge China 26 735 0.7× 329 0.4× 279 0.3× 158 0.3× 361 0.8× 117 2.3k
Jie Ding China 32 1.3k 1.3× 789 0.8× 117 0.1× 127 0.3× 360 0.8× 145 3.9k
Sanjoy K. Bhattacharya United States 35 2.8k 2.7× 416 0.4× 362 0.4× 222 0.5× 146 0.3× 252 5.4k
Chunbo Wang China 36 1.8k 1.7× 223 0.2× 304 0.4× 473 1.0× 132 0.3× 181 5.1k
Yang Hoon Huh South Korea 26 1.2k 1.2× 260 0.3× 484 0.6× 297 0.6× 184 0.4× 97 2.7k
Jennifer L. Freeman United States 39 2.1k 2.0× 626 0.7× 1.1k 1.3× 290 0.6× 156 0.3× 110 5.3k
Patricia Camacho United States 25 1.9k 1.8× 479 0.5× 699 0.8× 189 0.4× 61 0.1× 48 3.6k

Countries citing papers authored by Yasuhito Shimada

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhito Shimada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuhito Shimada

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuhito Shimada. A scholar is included among the top collaborators of Yasuhito Shimada 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 Yasuhito Shimada. Yasuhito Shimada 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.
Shimada, Yasuhito, et al.. (2025). Refinement of the novel tank diving test: toward standardized and robust analysis of anxiety-like behavior in zebrafish. Frontiers in Behavioral Neuroscience. 19. 1624277–1624277.
2.
Shimada, Yasuhito, et al.. (2025). Potential of Garra rufa as a novel high-temperature resistant model fish: a review on current and future approaches. Zoological Letters. 11(1). 3–3. 1 indexed citations
3.
Kon, Tetsuo, et al.. (2025). Chromosome-level genome assembly of the doctor fish (Garra rufa). Scientific Data. 12(1). 765–765.
4.
Oda, Keiko, Kan Katayama, Liqing Zang, et al.. (2024). The Protective Role of KANK1 in Podocyte Injury. International Journal of Molecular Sciences. 25(11). 5808–5808. 1 indexed citations
5.
Zang, Liqing, Sei Saitoh, Kan Katayama, et al.. (2024). A zebrafish model of diabetic nephropathy shows hyperglycemia, proteinuria and activation of the PI3K/Akt pathway. Disease Models & Mechanisms. 17(5). 3 indexed citations
6.
Zang, Liqing, et al.. (2023). Beneficial effects of seaweed-derived components on metabolic syndrome via gut microbiota modulation. Frontiers in Nutrition. 10. 1173225–1173225. 28 indexed citations
8.
Zang, Liqing, Keiichi Hiramoto, Yasuhito Shimada, et al.. (2023). Oral Administration of Rhamnan Sulfate from Monostroma nitidum Suppresses Atherosclerosis in ApoE-Deficient Mice Fed a High-Fat Diet. Cells. 12(22). 2666–2666. 5 indexed citations
9.
Nakayama, Hiroko, Liqing Zang, Young-il Kim, et al.. (2020). Anti-Obesity Natural Products Tested in Juvenile Zebrafish Obesogenic Tests and Mouse 3T3-L1 Adipogenesis Assays. Molecules. 25(24). 5840–5840. 20 indexed citations
10.
Kagotani, Kazuhiro, et al.. (2020). Lecithin-Based Dermal Drug Delivery for Anti-Pigmentation Maize Ceramide. Molecules. 25(7). 1595–1595. 13 indexed citations
11.
Okazaki, Fumiyoshi, Liqing Zang, Hiroko Nakayama, et al.. (2019). Microbiome Alteration in Type 2 Diabetes Mellitus Model of Zebrafish. Scientific Reports. 9(1). 867–867. 36 indexed citations
12.
Yamamoto, Daiki, et al.. (2019). ZF-Mapper: Simple and Complete Freeware for Fluorescence Quantification in Zebrafish Images. Zebrafish. 16(3). 233–239. 15 indexed citations
13.
Zang, Liqing, Yasuhito Shimada, Hiroko Nakayama, et al.. (2019). RNA-seq Based Transcriptome Analysis of the Anti-Obesity Effect of Green Tea Extract Using Zebrafish Obesity Models. Molecules. 24(18). 3256–3256. 31 indexed citations
14.
Yamada, Yuka, Hiroko Nakayama, Liqing Zang, et al.. (2019). Water Extract of Yamato Tachibana ( Citrus tachibana ) Induces Food Intake in Adult and Larval Zebrafish. Journal of Medicinal Food. 23(1). 65–71. 2 indexed citations
15.
Nakayama, Hiroko, et al.. (2018). Dried Rotifer Sheet: A Novel Live Feed for Rearing First-Feeding Larvae. Zebrafish. 15(3). 291–294. 3 indexed citations
16.
Zang, Liqing, Yasuhito Shimada, & Norihiro Nishimura. (2017). Development of a Novel Zebrafish Model for Type 2 Diabetes Mellitus. Scientific Reports. 7(1). 1461–1461. 120 indexed citations
17.
Shimada, Yasuhito, Beibei Zhang, Yasuhiko Shiina, et al.. (2015). E2F8 promotes hepatic steatosis through FABP3 expression in diet-induced obesity in zebrafish. Nutrition & Metabolism. 12(1). 17–17. 46 indexed citations
18.
Zang, Liqing, Yasuhito Shimada, Toshio Tanaka, & Norihiro Nishimura. (2015). Rhamnan sulphate from Monostroma nitidum attenuates hepatic steatosis by suppressing lipogenesis in a diet-induced obesity zebrafish model. Journal of Functional Foods. 17. 364–370. 36 indexed citations
19.
Zang, Liqing, Yasuhito Shimada, Yuhei Nishimura, Toshio Tanaka, & Norihiro Nishimura. (2013). A Novel, Reliable Method for Repeated Blood Collection from Aquarium Fish. Zebrafish. 10(3). 425–432. 70 indexed citations
20.
Zang, Liqing, et al.. (2011). A Novel Protocol for the Oral Administration of Test Chemicals to Adult Zebrafish. Zebrafish. 8(4). 203–210. 38 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026