Masaaki Ashida
- Immunology top 0.5%
- Insect Science top 0.1%
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Plant Science top 5%
- Co-authors
- Masanori OchiaiHideya YoshidaKuninori KinoshitaP. T. BreyKenneth SöderhällKenjiro DohkeTsunaki AsanoWon‐Jae Lee
- Topics
- Invertebrate Immune Response Mechanisms (30 papers)Neurobiology and Insect Physiology Research (16 papers)Insect Resistance and Genetics (13 papers)
In The Last Decade
Masaaki Ashida
51 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 102
- Immunology 3.0k
- Insect Science 2.3k
- Cellular and Molecular Neuroscience 1.4k
- Molecular Biology 1.1k
- Plant Science 407
Countries citing papers authored by Masaaki Ashida
This map shows the geographic impact of Masaaki Ashida'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 Ashida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaaki Ashida more than expected).
Fields of papers citing papers by Masaaki Ashida
This network shows the impact of papers produced by Masaaki Ashida. 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 Ashida. The network helps show where Masaaki Ashida may publish in the future.
Co-authorship network of co-authors of Masaaki Ashida
This figure shows the co-authorship network connecting the top 25 collaborators of Masaaki Ashida. A scholar is included among the top collaborators of Masaaki Ashida 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 Ashida. Masaaki Ashida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 68 | |
| 2 | 228 | |
| 3 | PURIFICATION AND CHARACTERIZATION OF CHYMOTRYPSIN-LIKE PROTEASES IN THE INTESTINE OF SEA URCHIN, H. PULCHERRIMUS(Biochemistry,Abstracts of papers presented at the 74^ Annual Meeting of the Zoological Society of Japan) : | 1 |
| 4 | 103 | |
| 5 | 37 | |
| 6 | 207 | |
| 7 | 154 | |
| 8 | 47 | |
| 9 | 31 | |
| 10 | 41 | |
| 11 | 412 | |
| 12 | 63 | |
| 13 | 21 | |
| 14 | 15 | |
| 15 | 24 | |
| 16 | 6 | |
| 17 | 60 | |
| 18 | 28 | |
| 19 | 65 | |
| 20 | BI33 PEPTIDOGLYCAN-INDUCED ACTIVATION OF THE SERINE ENZYMES AND PRO-PHENOLOXIDASE IN PLASMA OF SILKWORM, BOMBYX MORI.(Biochemistry)(Proceedings of the Fifty-Fifth Annual Meeting of the Zoological Society of Japan) | 1 |
About Masaaki Ashida
Masaaki Ashida is a scholar working on Insect Science, Immunology and Cellular and Molecular Neuroscience, having authored 51 papers that have together received 4.2k indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (30 papers), Neurobiology and Insect Physiology Research (16 papers) and Insect Resistance and Genetics (13 papers). The work is most often cited by research in Insect Science (2.3k citations), Immunology (3.0k citations) and Cellular and Molecular Neuroscience (1.4k citations). Masaaki Ashida has collaborated with scholars based in Japan, France and Canada. Frequent co-authors include Masanori Ochiai, Hideya Yoshida, Kuninori Kinoshita, P. T. Brey, Kenneth Söderhäll, Kenjiro Dohke, Tsunaki Asano, Won‐Jae Lee, Hidenori Iwahana and Eiji Ohnishi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Analytical Biochemistry.
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.