Keiji Kainuma
- Nutrition and Dietetics top 0.5%
- Biotechnology top 0.5%
- Food Science top 2%
- Plant Science top 5%
- Biomedical Engineering top 10%
- Co-authors
- Dexter FrenchShôichi KobayashiShigeo SuzukiMamoru YamaguchiTakashi SasakiAkiko MatsunagaTeruo NakakukiSetsuko Takahashi
- Topics
- Enzyme Production and Characterization (67 papers)Food composition and properties (45 papers)Microbial Metabolites in Food Biotechnology (43 papers)
In The Last Decade
Keiji Kainuma
129 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 93
- Nutrition and Dietetics 1.2k
- Biotechnology 810
- Food Science 539
- Plant Science 539
- Biomedical Engineering 413
Countries citing papers authored by Keiji Kainuma
This map shows the geographic impact of Keiji Kainuma'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 Keiji Kainuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiji Kainuma more than expected).
Fields of papers citing papers by Keiji Kainuma
This network shows the impact of papers produced by Keiji Kainuma. 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 Keiji Kainuma. The network helps show where Keiji Kainuma may publish in the future.
Co-authorship network of co-authors of Keiji Kainuma
This figure shows the co-authorship network connecting the top 25 collaborators of Keiji Kainuma. A scholar is included among the top collaborators of Keiji Kainuma 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 Keiji Kainuma. Keiji Kainuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | Physicochemical Properties of Sago Starch Compared with Various Commercial Starches | 3 |
| 5 | The Uppermost Surface Structure of Sago Starch Granules | 2 |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 17 | |
| 11 | Purification and some properties of an endo-1,4-(3-D-xylanase from Streptomyces sp. | 21 |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 11 | |
| 15 | :Part IV. Structural, Chemical and Rheological Properties of AirClassified Small- and Large Granule Potato Starch | 3 |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 33 | |
| 19 | 0 | |
| 20 | 1 |
About Keiji Kainuma
Keiji Kainuma is a scholar working on Biotechnology, Nutrition and Dietetics and Food Science, having authored 136 papers that have together received 1.9k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (67 papers), Food composition and properties (45 papers) and Microbial Metabolites in Food Biotechnology (43 papers). The work is most often cited by research in Biotechnology (810 citations), Nutrition and Dietetics (1.2k citations) and Food Science (539 citations). Keiji Kainuma has collaborated with scholars based in Japan, Slovakia and Cambodia. Frequent co-authors include Dexter French, Shôichi Kobayashi, Shigeo Suzuki, Mamoru Yamaguchi, Takashi Sasaki, Akiko Matsunaga, Teruo Nakakuki, Setsuko Takahashi, Yasunori Nakamura and Tadashi Baba. Their work appears in journals such as Biochemical Journal, FEBS Letters and Journal of Bacteriology.
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.