Makio Kobayashi
- Molecular Biology top 2%
- Physiology top 2%
- Renewable Energy, Sustainability and the Environment top 1%
- Neurology top 1%
- Surgery top 5%
- Co-authors
- Noriyuki ShibataToshihide KakizonoShiro NagaiKôji UchidaAkira HirasawaGozoh TsujimotoYoshiro KurimuraKeiko Shiratori
- Topics
- Amyotrophic Lateral Sclerosis Research (20 papers)Muscle Physiology and Disorders (17 papers)Parkinson's Disease Mechanisms and Treatments (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryGastroenterology
- Partner nations
- JapanUnited StatesPakistan
In The Last Decade
Makio Kobayashi
238 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 3.3k
- Physiology 1.3k
- Renewable Energy, Sustainability and the Environment 1.3k
- Neurology 1.1k
- Surgery 939
Countries citing papers authored by Makio Kobayashi
This map shows the geographic impact of Makio 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 Makio Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makio Kobayashi more than expected).
Fields of papers citing papers by Makio Kobayashi
This network shows the impact of papers produced by Makio 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 Makio Kobayashi. The network helps show where Makio Kobayashi may publish in the future.
Co-authorship network of co-authors of Makio Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Makio Kobayashi. A scholar is included among the top collaborators of Makio 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 Makio Kobayashi. Makio 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 | 34 | |
| 2 | 16 | |
| 3 | 30 | |
| 4 | 6 | |
| 5 | 22 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | Radical-scavenging activity of red and black rice. | 10 |
| 9 | 3 | |
| 10 | [The clinical efficacy of Bladder Chek NMP22 in urothelial cancer]. | 8 |
| 11 | 60 | |
| 12 | p53, mitosis, apoptosis and necrosis as prognostic indicators of long-term survival in breast cancer. | 24 |
| 13 | C-erbB-2 and PCNA as prognostic indicators of long-term survival in breast cancer. | 26 |
| 14 | 43 | |
| 15 | 5 | |
| 16 | 80 | |
| 17 | 18 | |
| 18 | 51 | |
| 19 | 135 | |
| 20 | 22 |
About Makio Kobayashi
Makio Kobayashi is a scholar working on Neurology, Biochemistry and Clinical Biochemistry, having authored 245 papers that have together received 8.2k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (20 papers), Muscle Physiology and Disorders (17 papers) and Parkinson's Disease Mechanisms and Treatments (16 papers). The work is most often cited by research in Biochemistry (879 citations), Renewable Energy, Sustainability and the Environment (1.3k citations) and Neurology (1.1k citations). Makio Kobayashi has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Noriyuki Shibata, Toshihide Kakizono, Shiro Nagai, Kôji Uchida, Akira Hirasawa, Gozoh Tsujimoto, Yoshiro Kurimura, Keiko Shiratori, Toshihiko Osawa and Atsuhiko Ichimura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Gastroenterology.
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.