Gentaro Usuku
- Surgery top 10%
- Cancer Research top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Genetics top 10%
- Co-authors
- Jerome GrossKen‐ichi IyamaKenji OhzonoJi-en ZhaoTeruhisa MiikeMakoto UchinoMitsuhiko KitaokaKowashi Yoshioka
- Topics
- Muscle Physiology and Disorders (3 papers)Reproductive System and Pregnancy (3 papers)Pregnancy and preeclampsia studies (2 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Gentaro Usuku
26 papers receiving 796 citations
Peers
Comparison fields: 5 of 84
- Surgery 323
- Cancer Research 265
- Molecular Biology 245
- Endocrinology, Diabetes and Metabolism 155
- Genetics 111
Countries citing papers authored by Gentaro Usuku
This map shows the geographic impact of Gentaro Usuku'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 Gentaro Usuku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gentaro Usuku more than expected).
Fields of papers citing papers by Gentaro Usuku
This network shows the impact of papers produced by Gentaro Usuku. 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 Gentaro Usuku. The network helps show where Gentaro Usuku may publish in the future.
Co-authorship network of co-authors of Gentaro Usuku
This figure shows the co-authorship network connecting the top 25 collaborators of Gentaro Usuku. A scholar is included among the top collaborators of Gentaro Usuku 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 Gentaro Usuku. Gentaro Usuku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 40 | |
| 3 | Influence of monocyte-macrophage lineage cells on alkaline phosphatase activity of developing osteoblasts derived from rat bone marrow stromal cells. | 9 |
| 4 | 59 | |
| 5 | 19 | |
| 6 | 55 | |
| 7 | 8 | |
| 8 | 27 | |
| 9 | 9 | |
| 10 | DIFFERENTIATION INVITRO OF MESENCHYMAL CELLS FROM CULTURED PREADIPOSE TISSUES | 1 |
| 11 | INVOLUTION OF SMOOTH-MUSCLE CELLS IN THE UTERINE MYOMETRIUM AFTER DELIVERY WITH SPECIAL REFERENCE TO PHAGOCYTOTIC CELLS | 1 |
| 12 | 8 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 13 | |
| 16 | 6 | |
| 17 | 63 | |
| 18 | 7 | |
| 19 | 9 | |
| 20 | An electron microscopical study of the muscle in congenital muscular dystrophy. | 12 |
About Gentaro Usuku
Gentaro Usuku is a scholar working on Immunology and Allergy, Rehabilitation and Genetics, having authored 27 papers that have together received 829 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (3 papers), Reproductive System and Pregnancy (3 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Cancer Research (265 citations), Genetics (111 citations) and Endocrinology, Diabetes and Metabolism (155 citations). Gentaro Usuku has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Jerome Gross, Ken‐ichi Iyama, Kenji Ohzono, Ji-en Zhao, Teruhisa Miike, Makoto Uchino, Mitsuhiko Kitaoka, Kowashi Yoshioka, Hidekatsu Yoshioka and Ikuko Masuda. Their work appears in journals such as Gastroenterology, Analytical Biochemistry and Developmental 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.