Nobuto Arashiki
- Physiology top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Pediatrics, Perinatology and Child Health
- Cell Biology
- Co-authors
- Yuichi TakakuwaNarla MohandasSumie MannoNaoki KimataJohn HaleMutsumi InabaFumio NakamuraHitoshi Kanno
- Topics
- Erythrocyte Function and Pathophysiology (16 papers)Neonatal Health and Biochemistry (7 papers)Lipid Membrane Structure and Behavior (4 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Nobuto Arashiki
19 papers receiving 332 citations
Peers
Comparison fields: 5 of 64
- Physiology 196
- Molecular Biology 148
- Pulmonary and Respiratory Medicine 67
- Pediatrics, Perinatology and Child Health 61
- Cell Biology 48
Countries citing papers authored by Nobuto Arashiki
This map shows the geographic impact of Nobuto Arashiki'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 Nobuto Arashiki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuto Arashiki more than expected).
Fields of papers citing papers by Nobuto Arashiki
This network shows the impact of papers produced by Nobuto Arashiki. 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 Nobuto Arashiki. The network helps show where Nobuto Arashiki may publish in the future.
Co-authorship network of co-authors of Nobuto Arashiki
This figure shows the co-authorship network connecting the top 25 collaborators of Nobuto Arashiki. A scholar is included among the top collaborators of Nobuto Arashiki 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 Nobuto Arashiki. Nobuto Arashiki 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 | 2 | |
| 3 | 8 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 20 | |
| 7 | 12 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 35 | |
| 11 | 39 | |
| 12 | 68 | |
| 13 | 83 | |
| 14 | 3 | |
| 15 | 10 | |
| 16 | 16 | |
| 17 | Structural implications of the EL(KIQ)(L/C)LD(A/G)DD sequence in the C-terminal cytoplasmic tail for proper targeting of anion exchanger 1 to the plasma membrane. | 3 |
| 18 | Expression of alpha-hemoglobin stabilizing protein and cellular prion protein in a subclone of murine erythroleukemia cell line MEL. | 1 |
| 19 | 1 | |
| 20 | 18 |
About Nobuto Arashiki
Nobuto Arashiki is a scholar working on Physiology, Pediatrics, Perinatology and Child Health and Biochemistry, having authored 21 papers that have together received 337 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (16 papers), Neonatal Health and Biochemistry (7 papers) and Lipid Membrane Structure and Behavior (4 papers). The work is most often cited by research in Physiology (196 citations), Genetics (39 citations) and Pediatrics, Perinatology and Child Health (61 citations). Nobuto Arashiki has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Yuichi Takakuwa, Narla Mohandas, Sumie Manno, Naoki Kimata, John Hale, Mutsumi Inaba, Fumio Nakamura, Hitoshi Kanno, Seiji Kojima and Satoru Miyano. Their work appears in journals such as Journal of Biological Chemistry, Blood and Biochemistry.
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.