Susumu Maeda
- Molecular Biology top 2%
- Insect Science top 0.2%
- Genetics top 5%
- Plant Science top 5%
- Immunology top 5%
- Co-authors
- Shizuo G. KamitaMasayoshi SawamuraHiroyuki UkedaKei MajimaBruce D. HammockAtsushi KondoToshinao ISHIIKazuhiro Okano
- Topics
- Viral Infectious Diseases and Gene Expression in Insects (62 papers)Insect Resistance and Genetics (51 papers)Silicon and Solar Cell Technologies (20 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Susumu Maeda
137 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 3.5k
- Insect Science 1.8k
- Genetics 622
- Plant Science 567
- Immunology 460
Countries citing papers authored by Susumu Maeda
This map shows the geographic impact of Susumu Maeda'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 Susumu Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susumu Maeda more than expected).
Fields of papers citing papers by Susumu Maeda
This network shows the impact of papers produced by Susumu Maeda. 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 Susumu Maeda. The network helps show where Susumu Maeda may publish in the future.
Co-authorship network of co-authors of Susumu Maeda
This figure shows the co-authorship network connecting the top 25 collaborators of Susumu Maeda. A scholar is included among the top collaborators of Susumu Maeda 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 Susumu Maeda. Susumu Maeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | Stray load loss analyses for a turbo-generator | 2 |
| 4 | 29 | |
| 5 | 26 | |
| 6 | Ecdysteroid Stimulates Virus Transmission in Larvae Infected with Bombyx mori Nucleopolyhedrovirus | 3 |
| 7 | 191 | |
| 8 | 80 | |
| 9 | 25 | |
| 10 | 12 | |
| 11 | 3 | |
| 12 | 32 | |
| 13 | 2 | |
| 14 | 33 | |
| 15 | 13 | |
| 16 | Parasitic Effects of Wasp, Apanteles glomeratus on Hemolymph Storage Proteins in Host Cabbage Worm, Pieris rapae crucivora | 2 |
| 17 | 16 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 0 |
About Susumu Maeda
Susumu Maeda is a scholar working on Insect Science, Molecular Biology and Biomaterials, having authored 145 papers that have together received 4.8k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (62 papers), Insect Resistance and Genetics (51 papers) and Silicon and Solar Cell Technologies (20 papers). The work is most often cited by research in Insect Science (1.8k citations), Molecular Biology (3.5k citations) and Biotechnology (297 citations). Susumu Maeda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shizuo G. Kamita, Masayoshi Sawamura, Hiroyuki Ukeda, Kei Majima, Bruce D. Hammock, Atsushi Kondo, Toshinao ISHII, Kazuhiro Okano, Keiju Okano and Toru Shimada. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Biotechnology.
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.