Megumi Fusé
- Cellular and Molecular Neuroscience top 5%
- Insect Science top 5%
- Genetics
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Ian OrchardWilliam G. BendenaStephen S. TobeJames W. TrumanE. A. PartridgeRonald J. NachmanB. Cameron DonlyChristopher A. Moffatt
- Topics
- Neurobiology and Insect Physiology Research (16 papers)Insect and Arachnid Ecology and Behavior (10 papers)Bone Tissue Engineering Materials (8 papers)
- Journals
- The Journal of Comparative NeurologyAnnals of the New York Academy of SciencesJournal of Experimental Biology
- Partner nations
- United StatesJapanCanada
In The Last Decade
Megumi Fusé
36 papers receiving 434 citations
Peers
Comparison fields: 5 of 74
- Cellular and Molecular Neuroscience 295
- Insect Science 180
- Genetics 163
- Molecular Biology 97
- Ecology, Evolution, Behavior and Systematics 82
Countries citing papers authored by Megumi Fusé
This map shows the geographic impact of Megumi Fusé'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 Megumi Fusé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megumi Fusé more than expected).
Fields of papers citing papers by Megumi Fusé
This network shows the impact of papers produced by Megumi Fusé. 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 Megumi Fusé. The network helps show where Megumi Fusé may publish in the future.
Co-authorship network of co-authors of Megumi Fusé
This figure shows the co-authorship network connecting the top 25 collaborators of Megumi Fusé. A scholar is included among the top collaborators of Megumi Fusé 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 Megumi Fusé. Megumi Fusé 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 | 1 | |
| 4 | 17 | |
| 5 | 25 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 32 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | 109 | |
| 17 | 31 | |
| 18 | 14 | |
| 19 | 37 | |
| 20 | 12 |
About Megumi Fusé
Megumi Fusé is a scholar working on Cellular and Molecular Neuroscience, Insect Science and Biomaterials, having authored 37 papers that have together received 446 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (16 papers), Insect and Arachnid Ecology and Behavior (10 papers) and Bone Tissue Engineering Materials (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (295 citations), Insect Science (180 citations) and Aging (11 citations). Megumi Fusé has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Ian Orchard, William G. Bendena, Stephen S. Tobe, James W. Truman, E. A. Partridge, Ronald J. Nachman, B. Cameron Donly, Christopher A. Moffatt, K. G. Davey and R. I. Sommerville. Their work appears in journals such as The Journal of Comparative Neurology, Annals of the New York Academy of Sciences and Journal of Experimental Biology.
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.