Ai Saiga
Impact in
- Animal Science and Zoology top 1%
- Meat and Animal Product Quality
- Insect Science top 1%
- Insect Utilization and Effects
- Bee Products Chemical Analysis
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 7
-
- Biochemical effects in animals 5
- Co-authors
- Toshihide Nishimura (6 shared papers)Soichi Tanabe (1 shared paper)Fumiki Morimatsu (3 shared papers)Yoshihisa Takahata (2 shared papers)Tomoyuki Okumura (3 shared papers)Koji Iwai (1 shared paper)Tõru Hayakawa (1 shared paper)Tsuyoshi Shimizu (1 shared paper)
- Journals
- Journal of Agricultural and Food Chemistry (4 papers)Bioscience Biotechnology and Biochemistry (1 paper)Journal of Food Biochemistry (1 paper)Journal of Nutritional Science and Vitaminology (1 paper)Institutional Repositories DataBase (IRDB) (1 paper)
- Partner nations
- Japan
In The Last Decade
Ai Saiga
7 papers receiving 1.0k citations
Ai Saiga's Hit Papers
Peers
Comparison fields: 5 of 78
- Animal Science and Zoology 390
- Insect Science 451
- Aquatic Science 112
- Physiology 328
- Molecular Biology 886
Countries citing papers authored by Ai Saiga
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
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-authors
The 16 scholars most cited alongside Ai Saiga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Antioxidant Activity of Peptides Obtained from Porcine Myofibrillar Proteins by Protease Treatment Hit paper breakdown → | 2003 | 673 |
| 2 | 2008 | 156 | |
| 3 | 2003 | 101 | |
| 4 | 2007 | 93 | |
| 5 | 2006 | 47 | |
| 6 | 2013 | 16 | |
| 7 | 2002 | 15 | |
| 8 | Studies on functional properties of peptides derived from meat proteins : Antioxidant and antihypertensive activities(Department of Bioresource Science and Technology) | 2003 | 1 |
About Ai Saiga
Ai Saiga is a scholar working on Molecular Biology, Physiology, Insect Science, Animal Science and Zoology and Cell Biology, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (7 papers), Biochemical effects in animals (5 papers), Insect Utilization and Effects (3 papers), Muscle metabolism and nutrition (2 papers), Meat and Animal Product Quality (2 papers), Nutrition, Genetics, and Disease (1 paper), Bee Products Chemical Analysis (1 paper) and Proteins in Food Systems (1 paper). The work is most often cited by research in Animal Science and Zoology (390 citations), Insect Science (451 citations), Aquatic Science (112 citations), Physiology (328 citations) and Molecular Biology (886 citations). Ai Saiga has collaborated with scholars based in Japan. Frequent co-authors include Toshihide Nishimura, Soichi Tanabe, Fumiki Morimatsu, Yoshihisa Takahata, Tomoyuki Okumura, Koji Iwai, Tõru Hayakawa, Tsuyoshi Shimizu, Ryoji Yamada and Hang Guo. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Bioscience Biotechnology and Biochemistry, Journal of Food Biochemistry, Journal of Nutritional Science and Vitaminology and Institutional Repositories DataBase (IRDB).
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.