Takuma Gamo
- Biomaterials top 5%
- Insect Science top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Immunology
- Co-authors
- Hans LauferKensuke SHIMURAAkio HyodoShigeru SatoToshio YamamotoS. KurodaYasuhiro HorieTakeshi UCHIYAMA
- Topics
- Silkworms and Sericulture Research (20 papers)Silk-based biomaterials and applications (13 papers)Insect Utilization and Effects (9 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Takuma Gamo
27 papers receiving 341 citations
Peers
Comparison fields: 5 of 57
- Biomaterials 247
- Insect Science 183
- Molecular Biology 149
- Cellular and Molecular Neuroscience 71
- Immunology 62
Countries citing papers authored by Takuma Gamo
This map shows the geographic impact of Takuma Gamo'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 Takuma Gamo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuma Gamo more than expected).
Fields of papers citing papers by Takuma Gamo
This network shows the impact of papers produced by Takuma Gamo. 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 Takuma Gamo. The network helps show where Takuma Gamo may publish in the future.
Co-authorship network of co-authors of Takuma Gamo
This figure shows the co-authorship network connecting the top 25 collaborators of Takuma Gamo. A scholar is included among the top collaborators of Takuma Gamo 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 Takuma Gamo. Takuma Gamo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Comparative 16S rDNA gene sequence analyses of the deodorant bacterial strains isolated from composting animal feces | 1 |
| 2 | 1 | |
| 3 | Azospirillum spp. from Crop Roots: A Promoter of Plant Growth | 2 |
| 4 | Rhizobia collected from leguminous plants in the Philippines | 2 |
| 5 | 10 | |
| 6 | Components of Silk Proteins and Their Gene Loci in the Silkworm | 3 |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | Biochemical Genetics and Its Application to the Breeding of the Silkworm | 4 |
| 11 | 10 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 24 | |
| 18 | 8 | |
| 19 | 6 | |
| 20 | 2 |
About Takuma Gamo
Takuma Gamo is a scholar working on Insect Science, Biomaterials and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 390 indexed citations. Recurring topics across this work include Silkworms and Sericulture Research (20 papers), Silk-based biomaterials and applications (13 papers) and Insect Utilization and Effects (9 papers). The work is most often cited by research in Biomaterials (247 citations), Insect Science (183 citations) and Cellular and Molecular Neuroscience (71 citations). Takuma Gamo has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Hans Laufer, Kensuke SHIMURA, Akio Hyodo, Shigeru Sato, Toshio Yamamoto, S. Kuroda, Yasuhiro Horie, Takeshi UCHIYAMA, Shoichiro Akao and Hideo Sasakawa. Their work appears in journals such as Journal of Insect Physiology, Soil Science & Plant Nutrition and Biochemical Genetics.
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.