Ai Saiga

1.3k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Ai Saiga is a scholar working on Molecular Biology, Physiology and Insect Science. According to data from OpenAlex, Ai Saiga has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Insect Science. Recurrent topics in Ai Saiga's work include Protein Hydrolysis and Bioactive Peptides (7 papers), Biochemical effects in animals (5 papers) and Insect Utilization and Effects (3 papers). Ai Saiga is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (7 papers), Biochemical effects in animals (5 papers) and Insect Utilization and Effects (3 papers). Ai Saiga collaborates with scholars based in Japan. Ai Saiga's co-authors include Toshihide Nishimura, Soichi Tanabe, Fumiki Morimatsu, Yoshihisa Takahata, Tomoyuki Okumura, Koji Iwai, Tõru Hayakawa, Ryoji Yamada, Tsuyoshi Shimizu and Mikako Sato and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Bioscience Biotechnology and Biochemistry and Journal of Food Biochemistry.

In The Last Decade

Ai Saiga

7 papers receiving 1.0k citations

Hit Papers

Antioxidant Activity of Peptides Obtained from Porcine My... 2003 2026 2010 2018 2003 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ai Saiga Japan 7 887 463 400 340 193 8 1.1k
Anusha Samaranayaka Canada 9 898 1.0× 404 0.9× 361 0.9× 288 0.8× 243 1.3× 16 1.1k
Fa-Yuan Hu China 9 900 1.0× 372 0.8× 333 0.8× 240 0.7× 133 0.7× 9 1.0k
Leila Najafian Iran 12 651 0.7× 252 0.5× 243 0.6× 150 0.4× 261 1.4× 24 892
Kunio Suetsuna Japan 17 1.4k 1.6× 596 1.3× 298 0.7× 459 1.4× 304 1.6× 32 1.7k
Xinyan Peng China 16 503 0.6× 141 0.3× 286 0.7× 231 0.7× 272 1.4× 40 916
Xiaolin Ding China 10 480 0.5× 213 0.5× 106 0.3× 117 0.3× 200 1.0× 10 701
I‐Chuan Sheih Taiwan 7 587 0.7× 218 0.5× 95 0.2× 121 0.4× 119 0.6× 8 846
Mariana Utrera Spain 15 387 0.4× 161 0.3× 802 2.0× 307 0.9× 253 1.3× 16 1.0k
Tanatorn Saisavoey Thailand 19 478 0.5× 256 0.6× 74 0.2× 91 0.3× 111 0.6× 30 704
Alan Connolly Ireland 16 496 0.6× 123 0.3× 292 0.7× 80 0.2× 438 2.3× 24 939

Countries citing papers authored by Ai Saiga

Since Specialization
Citations

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

Fields of papers citing papers by Ai Saiga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ai Saiga

This figure shows the co-authorship network connecting the top 25 collaborators of Ai Saiga. A scholar is included among the top collaborators of Ai Saiga 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 Ai Saiga. Ai Saiga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Saiga, Ai & Toshihide Nishimura. (2013). Antioxidative Properties of Peptides Obtained from Porcine Myofibrillar Proteins by a Protease Treatment in an Fe (II)-Induced Aqueous Lipid Peroxidation System. Bioscience Biotechnology and Biochemistry. 77(11). 2201–2204. 15 indexed citations
2.
Saiga, Ai, Koji Iwai, Tõru Hayakawa, et al.. (2008). Angiotensin I-Converting Enzyme-Inhibitory Peptides Obtained from Chicken Collagen Hydrolysate. Journal of Agricultural and Food Chemistry. 56(20). 9586–9591. 155 indexed citations
3.
Guo, Hang, Ai Saiga, Mikako Sato, et al.. (2007). Royal Jelly Supplementation Improves Lipoprotein Metabolism in Humans. Journal of Nutritional Science and Vitaminology. 53(4). 345–348. 91 indexed citations
4.
Saiga, Ai, et al.. (2006). Action Mechanism of an Angiotensin I-Converting Enzyme Inhibitory Peptide Derived from Chicken Breast Muscle. Journal of Agricultural and Food Chemistry. 54(3). 942–945. 47 indexed citations
5.
Saiga, Ai. (2003). Studies on functional properties of peptides derived from meat proteins : Antioxidant and antihypertensive activities(Department of Bioresource Science and Technology). Hiroshima University Acedemic Information Repository (Hiroshima University). 42. 65–67. 1 indexed citations
6.
Saiga, Ai, Soichi Tanabe, & Toshihide Nishimura. (2003). Antioxidant Activity of Peptides Obtained from Porcine Myofibrillar Proteins by Protease Treatment. Journal of Agricultural and Food Chemistry. 51(12). 3661–3667. 667 indexed citations breakdown →
7.
Saiga, Ai, et al.. (2003). Angiotensin I-Converting Enzyme Inhibitory Peptides in a Hydrolyzed Chicken Breast Muscle Extract. Journal of Agricultural and Food Chemistry. 51(6). 1741–1745. 100 indexed citations
8.
Saiga, Ai, Keiko Kanda, Wei Zheng, et al.. (2002). HYPOTENSIVE ACTIVITY OF MUSCLE PROTEIN AND GLUTEN HYDROLYSATES OBTAINED BY PROTEASE TREATMENT. Journal of Food Biochemistry. 26(5). 391–401. 15 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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