Yohei Sasaki

1.6k total citations
69 papers, 1.2k citations indexed

About

Yohei Sasaki is a scholar working on Molecular Biology, Food Science and Pharmacology. According to data from OpenAlex, Yohei Sasaki has authored 69 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 17 papers in Food Science and 14 papers in Pharmacology. Recurrent topics in Yohei Sasaki's work include Natural product bioactivities and synthesis (10 papers), Identification and Quantification in Food (6 papers) and Salmonella and Campylobacter epidemiology (6 papers). Yohei Sasaki is often cited by papers focused on Natural product bioactivities and synthesis (10 papers), Identification and Quantification in Food (6 papers) and Salmonella and Campylobacter epidemiology (6 papers). Yohei Sasaki collaborates with scholars based in Japan, China and Thailand. Yohei Sasaki's co-authors include Seiji Nagumo, Katsuko Komatsu, Tomokazu Hosokawa, Hirotoshi Fushimi, Y. Yamada, Aekkhaluck Intharuksa, Masahiro Nagai, Tetsuo Asai, Hirozo Goto and Yutaka Shimada and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Yohei Sasaki

66 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yohei Sasaki Japan 21 530 253 235 184 129 69 1.2k
Ana Lúcia Fachin Brazil 28 715 1.3× 221 0.9× 221 0.9× 404 2.2× 52 0.4× 97 2.1k
Aldeídia Pereira de Oliveira Brazil 18 325 0.6× 357 1.4× 128 0.5× 261 1.4× 65 0.5× 46 1.1k
Na Dong China 26 1.6k 3.1× 310 1.2× 125 0.5× 155 0.8× 71 0.6× 91 2.6k
Mozart Marins Brazil 23 624 1.2× 92 0.4× 191 0.8× 218 1.2× 46 0.4× 73 1.5k
Rita Pagiotti Italy 21 493 0.9× 453 1.8× 196 0.8× 413 2.2× 27 0.2× 52 1.3k
Xiaohua Chen China 19 743 1.4× 398 1.6× 273 1.2× 731 4.0× 38 0.3× 48 2.1k
Valeria Maria Morittu Italy 25 540 1.0× 378 1.5× 147 0.6× 167 0.9× 29 0.2× 66 1.7k
Alejandra Ochoa‐Zarzosa Mexico 25 816 1.5× 483 1.9× 61 0.3× 222 1.2× 41 0.3× 92 2.1k
Eui‐Hong Byun South Korea 20 317 0.6× 129 0.5× 99 0.4× 158 0.9× 29 0.2× 78 978
Miroslav Dinić Serbia 16 484 0.9× 368 1.5× 59 0.3× 153 0.8× 33 0.3× 36 1.0k

Countries citing papers authored by Yohei Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by Yohei Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohei Sasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Yohei Sasaki. A scholar is included among the top collaborators of Yohei Sasaki 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 Yohei Sasaki. Yohei Sasaki 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.
Sasaki, Shinya, Shin‐ichi Yokota, & Yohei Sasaki. (2024). Optimizing post-harvest processing conditions for Angelica acutiloba roots in Hokkaido: storage temperature and duration. Journal of Natural Medicines. 79(2). 328–340. 1 indexed citations
2.
Nagata, Yuka, Yohei Sasaki, & Ryo Suzuki. (2023). Ephedrine Alkaloid-Independent High-Affinity Immunoglobulin-E Receptor (FcεRI) Internalization Results in CCL2 Production without Inducing Mast Cell Degranulation. Biological and Pharmaceutical Bulletin. 46(6). 811–816. 1 indexed citations
3.
Wei, Wenjun, Xiaohong Chen, Tao Guo, et al.. (2022). A comprehensive study on the relieving effect of Lilium brownii on the intestinal flora and metabolic disorder in p -chlorphenylalanine induced insomnia rats. Pharmaceutical Biology. 60(1). 131–143. 30 indexed citations
4.
Obata, Toshihiro, et al.. (2022). Seasonal variation of alkaloids and polyphenol in Ephedra sinica cultivated in Japan and controlling factors. Journal of Natural Medicines. 77(1). 137–151. 6 indexed citations
5.
Nagata, Yuka, et al.. (2021). Ephedra Herb, Mao, Inhibits Antigen-Induced Mast Cell Degranulation by Induction of the Affinity Receptor for IgE Internalization. Pharmaceutical Research. 38(4). 569–581. 9 indexed citations
6.
Kitamura, Masashi, et al.. (2019). Rapid identification of Aconitum plants based on loop-mediated isothermal amplification assay. BMC Research Notes. 12(1). 408–408. 2 indexed citations
7.
Intharuksa, Aekkhaluck, et al.. (2019). Evaluation of white Kwao Krua (Pueraria candollei Grah. ex Benth.) products sold in Thailand by molecular, chemical, and microscopic analyses. Journal of Natural Medicines. 74(1). 106–118. 14 indexed citations
8.
Mizuguchi, Hiroyuki, Hiroaki Nagai, Yohei Sasaki, et al.. (2015). Disruption of Heat Shock Protein 90 (Hsp90)-Protein Kinase Cδ (PKCδ) Interaction by (−)-Maackiain Suppresses Histamine H1 Receptor Gene Transcription in HeLa Cells. Journal of Biological Chemistry. 290(45). 27393–27402. 24 indexed citations
9.
Yamamoto, Naoki, Tomohiro Suzuki, Masaaki Kobayashi, et al.. (2014). A-WINGS: an integrated genome database for Pleurocybella porrigens (Angel’s wing oyster mushroom, Sugihiratake). BMC Research Notes. 7(1). 866–866. 8 indexed citations
10.
Atsumi, Toshiyuki, Isao Ohtsuka, Nobuko Kakiuchi, et al.. (2013). Effects of Atractylodis Lanceae Rhizoma on inflammatory mediator production from the RAW264 macrophage cell line. 30(3). 124–131. 4 indexed citations
11.
12.
Sasaki, Yohei, et al.. (2011). Risk factors for Salmonella prevalence in laying-hen farms in Japan. Epidemiology and Infection. 140(6). 982–990. 12 indexed citations
13.
Sasaki, Yohei, et al.. (2010). Salmonella prevalence in commercial raw shell eggs in Japan: a survey. Epidemiology and Infection. 139(7). 1060–1064. 16 indexed citations
14.
Ikari, Akira, et al.. (2010). Magnesium deprivation inhibits a MEK–ERK cascade and cell proliferation in renal epithelial Madin-Darby canine kidney cells. Life Sciences. 86(19-20). 766–773. 18 indexed citations
15.
Sasaki, Yohei, et al.. (2010). Risk Factors forCampylobacterColonization in Broiler Flocks in Japan. Zoonoses and Public Health. 58(5). 350–356. 34 indexed citations
16.
Ikari, Akira, et al.. (2009). Extracellular Mg2+ regulates the tight junctional localization of claudin-16 mediated by ERK-dependent phosphorylation. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1798(3). 415–421. 20 indexed citations
17.
Nakayama, Youhei, Masaru Mezawa, Yohei Sasaki, et al.. (2008). Nicotine suppresses bone sialoprotein gene expression. Journal of Periodontal Research. 44(5). 657–663. 18 indexed citations
18.
Ikari, Akira, Yohei Sasaki, Yasuhiro Yamazaki, et al.. (2007). Activation of a polyvalent cation-sensing receptor decreases magnesium transport via claudin-16. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1778(1). 283–290. 41 indexed citations
19.
AMIMOTO, Katsuhiko, et al.. (2005). Genetic variation and cross-reactivity of Clostridium septicum alpha-toxin. Veterinary Microbiology. 114(1-2). 51–59. 11 indexed citations
20.
Sasaki, Yohei, et al.. (2001). Identification of the Tetracycline Resistance Gene, tet(M), in Erysipelothrix rhusiopathiae. Journal of Veterinary Medicine Series B. 48(4). 293–301. 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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