Makoto Shimada
- Co-authors
- Kouichi MiuraKazuhiro MaeHideki YoshidaHiroyuki MinamiKen KojioMutsuhisa FurukawaHirofumi HasegawaSuguru Motokucho
- Topics
- RNA modifications and cancer (6 papers)Primate Behavior and Ecology (6 papers)RNA and protein synthesis mechanisms (5 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaApplied Physics Letters
- Partner nations
- JapanUnited StatesKenya
In The Last Decade
Makoto Shimada
87 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 149
- Molecular Biology 269
- Biomedical Engineering 216
- Genetics 167
- Surgery 101
- Social Psychology 97
Countries citing papers authored by Makoto Shimada
This map shows the geographic impact of Makoto Shimada'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 Shimada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Shimada more than expected).
Fields of papers citing papers by Makoto Shimada
This network shows the impact of papers produced by Makoto Shimada. 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 Shimada. The network helps show where Makoto Shimada may publish in the future.
Co-authorship network of co-authors of Makoto Shimada
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Shimada. A scholar is included among the top collaborators of Makoto Shimada 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 Makoto Shimada. Makoto Shimada 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 | Adverse renal effects of anaplastic lymphoma kinase inhibitors and the response to alectinib of an ALK+ lung cancer patient with renal dysfunction | 1 |
| 3 | 16 | |
| 4 | 4 | |
| 5 | Dynamic behaviors of farm tractor passing over an obstacle. (Part I) - Improvement of tractor dynamic model and measurement of tire stiffness. | 4 |
| 6 | 9 | |
| 7 | Dynamic behaviors of farm tractor passing over an obstacle. (Part 2) - Analysis on validation for improved dynamic model. | 6 |
| 8 | 30 | |
| 9 | 7 | |
| 10 | 17 | |
| 11 | 4 | |
| 12 | 10 | |
| 13 | 27 | |
| 14 | 10 | |
| 15 | 7 | |
| 16 | 8 | |
| 17 | [Clinical study on chlormadinone acetate alone followed by combination with LH-RH analogue for prostatic cancer: effects on lipid metabolism]. | 2 |
| 18 | 20 | |
| 19 | 1 | |
| 20 | 1 |
About Makoto Shimada
Makoto Shimada is a scholar working on Fuel Technology, Urology and Developmental Neuroscience, having authored 90 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Primate Behavior and Ecology (6 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Fuel Technology (59 citations), Developmental Biology (29 citations) and Geochemistry and Petrology (72 citations). Makoto Shimada has collaborated with scholars based in Japan, United States and Kenya. Frequent co-authors include Kouichi Miura, Kazuhiro Mae, Hideki Yoshida, Hiroyuki Minami, Ken Kojio, Mutsuhisa Furukawa, Hirofumi Hasegawa, Suguru Motokucho, Takayuki Hamatsu and Yo‐ichi Yamashita. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Applied Physics 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.