Masaaki Azuma
- Molecular Biology
- Insect Science top 2%
- Cellular and Molecular Neuroscience top 5%
- Ecology top 10%
- Genetics
- Co-authors
- Seiji MiyakeHelmut WieczorekWilliam R. HarveyMasaharu EguchiNaoya KataokaToshinobu YaginumaKanako MitsumasuTeruyuki Niimi
- Topics
- Neurobiology and Insect Physiology Research (23 papers)Physiological and biochemical adaptations (13 papers)Insect Resistance and Genetics (12 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaFEBS Letters
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Masaaki Azuma
44 papers receiving 870 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 464
- Insect Science 391
- Cellular and Molecular Neuroscience 339
- Ecology 231
- Genetics 170
Countries citing papers authored by Masaaki Azuma
This map shows the geographic impact of Masaaki Azuma'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 Masaaki Azuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaaki Azuma more than expected).
Fields of papers citing papers by Masaaki Azuma
This network shows the impact of papers produced by Masaaki Azuma. 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 Masaaki Azuma. The network helps show where Masaaki Azuma may publish in the future.
Co-authorship network of co-authors of Masaaki Azuma
This figure shows the co-authorship network connecting the top 25 collaborators of Masaaki Azuma. A scholar is included among the top collaborators of Masaaki Azuma 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 Masaaki Azuma. Masaaki Azuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 15 | |
| 3 | 5 | |
| 4 | 23 | |
| 5 | 17 | |
| 6 | 4 | |
| 7 | 16 | |
| 8 | 43 | |
| 9 | 10 | |
| 10 | Basic research TGF-β regulates invasive behavior of human pancreatic cancer cells by controlling Smad expression | 3 |
| 11 | 91 | |
| 12 | 24 | |
| 13 | 5 | |
| 14 | 46 | |
| 15 | 5 | |
| 16 | 80 | |
| 17 | Alkaline phoshatase isozymes of the silkworm midgut: Polymorphism in the enzyme activity, antigen and electrophoretogram.:Polymorphism in the enzyme activity, antigen and electrophoretogram | 5 |
| 18 | 1 | |
| 19 | 39 | |
| 20 | 3 |
About Masaaki Azuma
Masaaki Azuma is a scholar working on Insect Science, Cellular and Molecular Neuroscience and Biomaterials, having authored 46 papers that have together received 887 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (23 papers), Physiological and biochemical adaptations (13 papers) and Insect Resistance and Genetics (12 papers). The work is most often cited by research in Insect Science (391 citations), Cellular and Molecular Neuroscience (339 citations) and Ecology (231 citations). Masaaki Azuma has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Seiji Miyake, Helmut Wieczorek, William R. Harvey, Masaharu Eguchi, Naoya Kataoka, Toshinobu Yaginuma, Kanako Mitsumasu, Teruyuki Niimi, Okitsugu Yamashita and Alexandra Lepier. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and FEBS Letters.
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.