Mitsuo KOBAYASHI
- Molecular Biology
- Oncology
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience
- Endocrine and Autonomic Systems top 10%
- Co-authors
- David A. KeireTravis E. SolomonJoseph R. ReeveKeiichi KoizumiIkuo SaikiPeter MannonJohn H. WalshTakuya Suzuki
- Topics
- Coal Properties and Utilization (4 papers)Advanced Sensor and Energy Harvesting Materials (3 papers)Thermochemical Biomass Conversion Processes (3 papers)
- Partner nations
- JapanUnited StatesSouth Sudan
In The Last Decade
Mitsuo KOBAYASHI
33 papers receiving 478 citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 137
- Oncology 124
- Electrical and Electronic Engineering 86
- Cellular and Molecular Neuroscience 84
- Endocrine and Autonomic Systems 75
Countries citing papers authored by Mitsuo KOBAYASHI
This map shows the geographic impact of Mitsuo KOBAYASHI'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 Mitsuo KOBAYASHI with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuo KOBAYASHI more than expected).
Fields of papers citing papers by Mitsuo KOBAYASHI
This network shows the impact of papers produced by Mitsuo KOBAYASHI. 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 Mitsuo KOBAYASHI. The network helps show where Mitsuo KOBAYASHI may publish in the future.
Co-authorship network of co-authors of Mitsuo KOBAYASHI
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuo KOBAYASHI. A scholar is included among the top collaborators of Mitsuo KOBAYASHI 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 Mitsuo KOBAYASHI. Mitsuo KOBAYASHI 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 | 1 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 80 | |
| 6 | 64 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 36 | |
| 10 | 0 | |
| 11 | 11 | |
| 12 | 1 | |
| 13 | A Study on Color Information Analysis of Paintings. Aimed at the Placement of Colors on the Canvas. | 1 |
| 14 | 14 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 1 |
About Mitsuo KOBAYASHI
Mitsuo KOBAYASHI is a scholar working on Theoretical Computer Science, Algebra and Number Theory and Bioengineering, having authored 37 papers that have together received 492 indexed citations. Recurring topics across this work include Coal Properties and Utilization (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Thermochemical Biomass Conversion Processes (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (75 citations), Fuel Technology (5 citations) and Bioengineering (35 citations). Mitsuo KOBAYASHI has collaborated with scholars based in Japan, United States and South Sudan. Frequent co-authors include David A. Keire, Travis E. Solomon, Joseph R. Reeve, Keiichi Koizumi, Ikuo Saiki, Peter Mannon, John H. Walsh, Takuya Suzuki, Soichi Tabata and Takashi Nakayama. Their work appears in journals such as Biochemistry, American Journal of Obstetrics and Gynecology and Fuel.
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.