Kenji Maeda
- Molecular Biology
- Organic Chemistry top 5%
- Geophysics top 5%
- Pharmacology top 2%
- Artificial Intelligence top 10%
- Co-authors
- HAMAO UMEZAWAShinichi KondoHIROSHI NAGANAWAMASA HAMADATOMOHISA TAKITAKATSUHARU IINUMAHARUO YAMAMOTOMasaji Ohno
- Topics
- Microbial Natural Products and Biosynthesis (31 papers)earthquake and tectonic studies (31 papers)Earthquake Detection and Analysis (16 papers)
- Journals
- Journal of the American Chemical SocietyChemical CommunicationsEarth and Planetary Science Letters
- Partner nations
- JapanArmeniaUnited States
In The Last Decade
Kenji Maeda
94 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 638
- Organic Chemistry 565
- Geophysics 468
- Pharmacology 389
- Artificial Intelligence 189
Countries citing papers authored by Kenji Maeda
This map shows the geographic impact of Kenji Maeda'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 Kenji Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Maeda more than expected).
Fields of papers citing papers by Kenji Maeda
This network shows the impact of papers produced by Kenji Maeda. 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 Kenji Maeda. The network helps show where Kenji Maeda may publish in the future.
Co-authorship network of co-authors of Kenji Maeda
This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Maeda. A scholar is included among the top collaborators of Kenji Maeda 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 Kenji Maeda. Kenji Maeda 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 | 13 | |
| 3 | 7 | |
| 4 | Does an ETAS model dream of foreshocks?: Through the application of an earthquake forecasting method based on swarm-like activity | 1 |
| 5 | Simulation of Recurring Earthquakes along the Japan Trench | 1 |
| 6 | 20 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 28 | |
| 13 | 7 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | 49 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | 26 | |
| 20 | On new antifungal substances,moldin and phaeofacin,produced by streptomyces sp. | 0 |
About Kenji Maeda
Kenji Maeda is a scholar working on Geophysics, Toxicology and Pharmacology, having authored 99 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (31 papers), earthquake and tectonic studies (31 papers) and Earthquake Detection and Analysis (16 papers). The work is most often cited by research in Geophysics (468 citations), Pharmacology (389 citations) and Organic Chemistry (565 citations). Kenji Maeda has collaborated with scholars based in Japan, Armenia and United States. Frequent co-authors include HAMAO UMEZAWA, Shinichi Kondo, HIROSHI NAGANAWA, MASA HAMADA, TOMOHISA TAKITA, KATSUHARU IINUMA, HARUO YAMAMOTO, Masaji Ohno, Yoshirō Okami and Hitoshi Umezawa. Their work appears in journals such as Journal of the American Chemical Society, Chemical Communications and Earth and Planetary Science Letters.
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.