Takashi Suyemitsu
- Molecular Biology
- Aquatic Science top 2%
- Ocean Engineering top 5%
- Endocrinology, Diabetes and Metabolism
- Ecology
- Co-authors
- Katsutoshi IshiharaHiroshi TerayamaKyo YamasuMinoru SaitoYukihiro ChinoKarl SchmidShonan AmemiyaMutuyosi Koga
- Topics
- Echinoderm biology and ecology (17 papers)Marine Biology and Environmental Chemistry (13 papers)Antimicrobial Peptides and Activities (9 papers)
- Partner nations
- JapanSwitzerlandRussia
In The Last Decade
Takashi Suyemitsu
39 papers receiving 552 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 234
- Aquatic Science 182
- Ocean Engineering 141
- Endocrinology, Diabetes and Metabolism 74
- Ecology 67
Countries citing papers authored by Takashi Suyemitsu
This map shows the geographic impact of Takashi Suyemitsu'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 Takashi Suyemitsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Suyemitsu more than expected).
Fields of papers citing papers by Takashi Suyemitsu
This network shows the impact of papers produced by Takashi Suyemitsu. 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 Takashi Suyemitsu. The network helps show where Takashi Suyemitsu may publish in the future.
Co-authorship network of co-authors of Takashi Suyemitsu
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Suyemitsu. A scholar is included among the top collaborators of Takashi Suyemitsu 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 Takashi Suyemitsu. Takashi Suyemitsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | LOCALIZATION AND MIGRATION OF FOLLICULAR MELANOCYTE PRECURSORS IN MOUSE VIBRISSAE DURING HAIR CYCLE(Developmental Biology)(Proceedings of the Seventy-Third Annual Meeting of the Zoological Society of Japan) | 2 |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 41 | |
| 8 | 18 | |
| 9 | 6 | |
| 10 | 67 | |
| 11 | 9 | |
| 12 | 11 | |
| 13 | The Positions of the Disulfide Bonds in Exogastrula-Inducing Peptide D(EGIP-D)Purified from Embryos of the Sea Urchin,Anthocidaris crassispina | 10 |
| 14 | 5 | |
| 15 | 11 | |
| 16 | 7 | |
| 17 | Similarities between the Primary Structures of Exogastrula-Inducing Peptides and Peptide B Purified from Embryos of the Sea Urchin,Anthocidaris crassispina | 9 |
| 18 | 7 | |
| 19 | 26 | |
| 20 | 6 |
About Takashi Suyemitsu
Takashi Suyemitsu is a scholar working on Aquatic Science, Microbiology and Ocean Engineering, having authored 39 papers that have together received 591 indexed citations. Recurring topics across this work include Echinoderm biology and ecology (17 papers), Marine Biology and Environmental Chemistry (13 papers) and Antimicrobial Peptides and Activities (9 papers). The work is most often cited by research in Aquatic Science (182 citations), Ocean Engineering (141 citations) and Microbiology (50 citations). Takashi Suyemitsu has collaborated with scholars based in Japan, Switzerland and Russia. Frequent co-authors include Katsutoshi Ishihara, Hiroshi Terayama, Kyo Yamasu, Minoru Saito, Yukihiro Chino, Karl Schmid, Shonan Amemiya, Mutuyosi Koga, Hideki Ohtake and Masanori SEKI. Their work appears in journals such as Biochemical Journal, Biochemical and Biophysical Research Communications and Endocrinology.
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.