Hajime Matsubara
- Physiology top 0.5%
- Genetics top 5%
- Materials Chemistry
- Aquatic Science top 1%
- Reproductive Medicine top 5%
- Co-authors
- Satoshi ŌmuraYukinori KazetoShinji AdachiCraig A. J. FisherShigeho IjiriKohei YamauchiP. Mark LokmanNORIAKI SADAKANE
- Topics
- Reproductive biology and impacts on aquatic species (26 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (13 papers)Aquaculture Nutrition and Growth (13 papers)
- Journals
- Applied Physics LettersScientific ReportsBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Hajime Matsubara
104 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 135
- Physiology 496
- Genetics 358
- Materials Chemistry 331
- Aquatic Science 307
- Reproductive Medicine 206
Countries citing papers authored by Hajime Matsubara
This map shows the geographic impact of Hajime Matsubara'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 Hajime Matsubara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hajime Matsubara more than expected).
Fields of papers citing papers by Hajime Matsubara
This network shows the impact of papers produced by Hajime Matsubara. 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 Hajime Matsubara. The network helps show where Hajime Matsubara may publish in the future.
Co-authorship network of co-authors of Hajime Matsubara
This figure shows the co-authorship network connecting the top 25 collaborators of Hajime Matsubara. A scholar is included among the top collaborators of Hajime Matsubara 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 Hajime Matsubara. Hajime Matsubara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 19 | |
| 10 | 11 | |
| 11 | 54 | |
| 12 | 1 | |
| 13 | 21 | |
| 14 | 10 | |
| 15 | 59 | |
| 16 | 20 | |
| 17 | 0 | |
| 18 | 44 | |
| 19 | INHIBITION OF GONAD-STIMULATING SUBSTANCE SECRETION FROM RADIAL NERVES OF STARFISH ASTERINA PECTINIFERA BY SALMFAMIDE-1(Endocrinology,Abstracts of papers presented at the 74^ Annual Meeting of the Zoological Society of Japan) : | 1 |
| 20 | 1 |
About Hajime Matsubara
Hajime Matsubara is a scholar working on Physiology, Nuclear Energy and Engineering and Aquatic Science, having authored 115 papers that have together received 1.7k indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (26 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (13 papers) and Aquaculture Nutrition and Growth (13 papers). The work is most often cited by research in Physiology (496 citations), Aquatic Science (307 citations) and Reproductive Medicine (206 citations). Hajime Matsubara has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Satoshi Ōmura, Yukinori Kazeto, Shinji Adachi, Craig A. J. Fisher, Shigeho Ijiri, Kohei Yamauchi, P. Mark Lokman, NORIAKI SADAKANE, T. Sakuma and Byung-Koog Jang. Their work appears in journals such as Applied Physics Letters, Scientific Reports and Biochemical and Biophysical Research Communications.
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.