Ichiro Kubota
- Molecular Biology
- Oncology top 10%
- Cellular and Molecular Neuroscience top 10%
- Pulmonary and Respiratory Medicine
- Cell Biology top 10%
- Co-authors
- Joeji WakimotoKazuo TachibanaStewart A. ThompsonKoji NakanishiAyako FukudaYujiro HayashiHisayuki MatsuoKenji Kangawa
- Topics
- Metabolism and Genetic Disorders (5 papers)Neurobiology and Insect Physiology Research (4 papers)Peroxisome Proliferator-Activated Receptors (4 papers)
- Journals
- ScienceNucleic Acids ResearchNeuron
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Ichiro Kubota
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 678
- Oncology 248
- Cellular and Molecular Neuroscience 153
- Pulmonary and Respiratory Medicine 142
- Cell Biology 126
Countries citing papers authored by Ichiro Kubota
This map shows the geographic impact of Ichiro 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 Ichiro Kubota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ichiro Kubota more than expected).
Fields of papers citing papers by Ichiro Kubota
This network shows the impact of papers produced by Ichiro 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 Ichiro Kubota. The network helps show where Ichiro Kubota may publish in the future.
Co-authorship network of co-authors of Ichiro Kubota
This figure shows the co-authorship network connecting the top 25 collaborators of Ichiro Kubota. A scholar is included among the top collaborators of Ichiro 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 Ichiro Kubota. Ichiro 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 | 16 | |
| 2 | 115 | |
| 3 | 0 | |
| 4 | 91 | |
| 5 | Micropapillary pattern (MPP) is an excellent predictor of a poor prognosis in lung adenocarcinoma, and even stronger evidence is loss of SP-A expression in MPP. | 1 |
| 6 | 18 | |
| 7 | 60 | |
| 8 | 2 | |
| 9 | 25 | |
| 10 | 180 | |
| 11 | 26 | |
| 12 | 48 | |
| 13 | 22 | |
| 14 | 31 | |
| 15 | 11 | |
| 16 | 35 | |
| 17 | 17 | |
| 18 | 7 | |
| 19 | 20 | |
| 20 | 9 |
About Ichiro Kubota
Ichiro Kubota is a scholar working on Clinical Biochemistry, Biochemistry and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (5 papers), Neurobiology and Insect Physiology Research (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). The work is most often cited by research in Pharmacology (109 citations), Immunology and Allergy (73 citations) and Biochemistry (86 citations). Ichiro Kubota has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Joeji Wakimoto, Kazuo Tachibana, Stewart A. Thompson, Koji Nakanishi, Ayako Fukuda, Yujiro Hayashi, Hisayuki Matsuo, Kenji Kangawa, Emi Kusunose and Masamichi Kusunose. Their work appears in journals such as Science, Nucleic Acids Research and Neuron.
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.