Makoto Inoue
- Molecular Biology top 1%
- Plant Science top 2%
- Genetics top 2%
- Oncology top 5%
- Immunology top 5%
- Co-authors
- Mamoru HasegawaShigeyuki YokoyamaT. KigawaYukio OGIHARAHarumi OkuyamaYukio OgiharaMikako ShirouzuRie Suzuki
- Topics
- Virus-based gene therapy research (55 papers)RNA Interference and Gene Delivery (19 papers)Viral gastroenteritis research and epidemiology (17 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- JapanUnited StatesNew Zealand
In The Last Decade
Makoto Inoue
321 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Molecular Biology 4.5k
- Plant Science 1.1k
- Genetics 956
- Oncology 804
- Immunology 701
Countries citing papers authored by Makoto Inoue
This map shows the geographic impact of Makoto Inoue'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 Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Inoue more than expected).
Fields of papers citing papers by Makoto Inoue
This network shows the impact of papers produced by Makoto Inoue. 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 Inoue. The network helps show where Makoto Inoue may publish in the future.
Co-authorship network of co-authors of Makoto Inoue
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Inoue. A scholar is included among the top collaborators of Makoto Inoue 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 Inoue. Makoto Inoue 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 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 20 | |
| 10 | 420 | |
| 11 | 68 | |
| 12 | 34 | |
| 13 | 2 | |
| 14 | Trace element concentrations in carbonate reference materials; coral JCp-1 and giant clam JCt-1 by inductively coupled plasma mass spectrometry | 1 |
| 15 | Cytotoxic activities of alkaloids from Zephyranthes carinata | 5 |
| 16 | 12 | |
| 17 | Plasma alpha 1-acid glycoprotein in chickens infected with infectious bursal disease virus. | 27 |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 2 |
About Makoto Inoue
Makoto Inoue is a scholar working on Virology, Applied Microbiology and Biotechnology and Nephrology, having authored 333 papers that have together received 8.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (55 papers), RNA Interference and Gene Delivery (19 papers) and Viral gastroenteritis research and epidemiology (17 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (239 citations), Molecular Biology (4.5k citations) and Biochemistry (319 citations). Makoto Inoue has collaborated with scholars based in Japan, United States and New Zealand. Frequent co-authors include Mamoru Hasegawa, Shigeyuki Yokoyama, T. Kigawa, Yukio OGIHARA, Harumi Okuyama, Yukio Ogihara, Mikako Shirouzu, Rie Suzuki, Takashi Yabuki and Nahoko Sakaguchi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.