I. Kubota
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Social Psychology top 10%
- Physiology
- Biochemistry top 10%
- Co-authors
- Yojiro MuneokaHiroyuki MinakataKyosuke NomotoT. IkedaYuko FujisawaYoshimi Yasuda‐KamataniYusuke MuneokaTatsumi Hirata
- Topics
- Neurobiology and Insect Physiology Research (12 papers)Neuropeptides and Animal Physiology (7 papers)Protein Hydrolysis and Bioactive Peptides (6 papers)
In The Last Decade
I. Kubota
25 papers receiving 629 citations
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 458
- Molecular Biology 333
- Social Psychology 102
- Physiology 58
- Biochemistry 53
Countries citing papers authored by I. Kubota
This map shows the geographic impact of I. Kubota'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 I. Kubota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Kubota more than expected).
Fields of papers citing papers by I. Kubota
This network shows the impact of papers produced by I. Kubota. 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 I. Kubota. The network helps show where I. Kubota may publish in the future.
Co-authorship network of co-authors of I. Kubota
This figure shows the co-authorship network connecting the top 25 collaborators of I. Kubota. A scholar is included among the top collaborators of I. Kubota 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 I. Kubota. I. Kubota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 12 | |
| 3 | 40 | |
| 4 | 14 | |
| 5 | FMRFamide-related peptides isolated from the prosobranch mollusc Fusinus ferrugineus. | 26 |
| 6 | RELATIONSHIP BETWEEN ERYTHROPOIETIN AND ERYTHROID COLONY-STIMULATING ACTIVITY IN MOUSE PLASMA.(Physiology)Proceedings of the Sixty-Third Annual Meeting of the Zoologiacal Socistry of Japan : | 1 |
| 7 | 1 | |
| 8 | 45 | |
| 9 | 88 | |
| 10 | 4 | |
| 11 | 35 | |
| 12 | 48 | |
| 13 | A NOVEL OXYTOCIN-LIKE PEPTIDE ISOLATED FROM THE NEURAL COMPLEXES OF TUNICATE, Styela plicata : Physiology | 6 |
| 14 | 57 | |
| 15 | 47 | |
| 16 | The amino acid sequence of hemerythrin from Siphonosoma cumanense. | 8 |
| 17 | 22 | |
| 18 | 25 | |
| 19 | 48 | |
| 20 | 49 |
About I. Kubota
I. Kubota is a scholar working on Cellular and Molecular Neuroscience, Microbiology and Animal Science and Zoology, having authored 25 papers that have together received 652 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (12 papers), Neuropeptides and Animal Physiology (7 papers) and Protein Hydrolysis and Bioactive Peptides (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (458 citations), Microbiology (52 citations) and Biochemistry (53 citations). I. Kubota has collaborated with scholars based in Japan and Hungary. Frequent co-authors include Yojiro Muneoka, Hiroyuki Minakata, Kyosuke Nomoto, T. Ikeda, Yuko Fujisawa, Yoshimi Yasuda‐Kamatani, Yusuke Muneoka, Tatsumi Hirata, Masayuki Yoshida and Makoto Kobayashi. Their work appears in journals such as Brain Research, Biochemical and Biophysical Research Communications and European Journal of Pharmacology.
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.