Makoto Kobayashi
- Molecular Biology top 0.5%
- Genomics, phytochemicals, and oxidative stress 24
- Photosynthetic Processes and Mechanisms 14
- Glutathione Transferases and Polymorphisms 12
- Metabolomics and Mass Spectrometry Studies 10
- Plant Science top 0.5%
- Plant Molecular Biology Research 17
- Plant Stress Responses and Tolerance 12
- Plant nutrient uptake and metabolism 11
- Cell Biology top 1%
- Zebrafish Biomedical Research Applications 16
- Biochemistry top 2%
- Aging top 5%
Makoto Kobayashi
237 papers receiving 10.7k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Molecular Biology 6.6k
- Plant Science 3.0k
- Cell Biology 842
- Biochemistry 301
- Aging 85
Countries citing papers authored by Makoto Kobayashi
This map shows the geographic impact of Makoto 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 Makoto Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Kobayashi more than expected).
Fields of papers citing papers by Makoto Kobayashi
This network shows the impact of papers produced by Makoto 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 Makoto Kobayashi. The network helps show where Makoto Kobayashi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Makoto Kobayashi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 9 | |
| 10 | 2021 | 18 | |
| 11 | 2018 | 69 | |
| 12 | 2018 | 51 | |
| 13 | 2017 | 66 | |
| 14 | 2011 | 41 | |
| 15 | 2011 | 64 | |
| 16 | 2009 | 215 | |
| 17 | The Antioxidant Defense System Keap1-Nrf2 Comprises a Multiple Sensing Mechanism for Responding to a Wide Range of Chemical Compoundsbreakdown → | 2008 | 558 |
| 18 | 1998 | 73 | |
| 19 | [Extramedullary relapse in the external auditory canal in a patient with acute promyelocytic leukemia treated with all-trans retinoic acid and autologous peripheral blood stem cell transplantation]. | 1998 | 3 |
| 20 | Passive cutaneous anaphylaxis (PCA) of helminthiasis. PCA of pig and dog ascarids. | 1970 | 1 |
About Makoto Kobayashi
Makoto Kobayashi is a scholar working on Molecular Biology, Biophysics and Plant Science, having authored 242 papers that have together received 10.9k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (24 papers), Plant Molecular Biology Research (17 papers), Zebrafish Biomedical Research Applications (16 papers), Photosynthetic Processes and Mechanisms (14 papers), Glutathione Transferases and Polymorphisms (12 papers), Plant Stress Responses and Tolerance (12 papers), Plant nutrient uptake and metabolism (11 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). The work is most often cited by research in Molecular Biology (6.6k citations), Plant Science (3.0k citations) and Cell Biology (842 citations). Makoto Kobayashi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masayuki Yamamoto, Miyako Kusano, Kazuki Saito, Koichi Kawakami, Atsushi Fukushima, Keizo Nishikawa, N. Kawakami, Naoto Matsuda, Hisashi Takeda and Masayoshi Mishina. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.