Makoto Monnai
- Molecular Biology
- Nutrition and Dietetics top 10%
- Oncology
- Hepatology top 5%
- Surgery
- Co-authors
- Hajime OtaniMasato NakamuraHiroshi SuemizuMamoru ItoMakoto SuematsuMasatoshi WakuiKenji TaniguchiGary Peltz
- Topics
- Protein Hydrolysis and Bioactive Peptides (6 papers)Probiotics and Fermented Foods (5 papers)Infant Nutrition and Health (4 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Makoto Monnai
22 papers receiving 779 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 361
- Nutrition and Dietetics 159
- Oncology 155
- Hepatology 154
- Surgery 118
Countries citing papers authored by Makoto Monnai
This map shows the geographic impact of Makoto Monnai'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 Makoto Monnai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Monnai more than expected).
Fields of papers citing papers by Makoto Monnai
This network shows the impact of papers produced by Makoto Monnai. 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 Makoto Monnai. The network helps show where Makoto Monnai may publish in the future.
Co-authorship network of co-authors of Makoto Monnai
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Monnai. A scholar is included among the top collaborators of Makoto Monnai 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 Makoto Monnai. Makoto Monnai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 5 | |
| 3 | 243 | |
| 4 | 8 | |
| 5 | 42 | |
| 6 | 84 | |
| 7 | 10 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 56 | |
| 11 | 7 | |
| 12 | 57 | |
| 13 | 20 | |
| 14 | Immunomodificatory effect of dietary bovine kappa-caseinoglycopeptide on serum antibody levels and proliferative responses of lymphocytes in mice | 31 |
| 15 | Effect of bovine κ-caseinoglycopeptide on secretion of interleukin-1 family cytokines by P388D1, a line derived from mouse monocyte/macrophage | 19 |
| 16 | 27 | |
| 17 | 58 | |
| 18 | 29 | |
| 19 | 30 | |
| 20 | Bovine κ-casein as inhibitor of the proliferation of mouse splenocytes induced by lipopolysaccharide stimulation | 40 |
About Makoto Monnai
Makoto Monnai is a scholar working on Microbiology, Biotechnology and Food Science, having authored 22 papers that have together received 810 indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (6 papers), Probiotics and Fermented Foods (5 papers) and Infant Nutrition and Health (4 papers). The work is most often cited by research in Hepatology (154 citations), Pharmacology (92 citations) and Nutrition and Dietetics (159 citations). Makoto Monnai has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Hajime Otani, Masato Nakamura, Hiroshi Suemizu, Mamoru Ito, Makoto Suematsu, Masatoshi Wakui, Kenji Taniguchi, Gary Peltz, Masami Hasegawa and Kenji Kawai. Their work appears in journals such as Blood, The Journal of Immunology and Biochemical and Biophysical Research Communications.
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.