Makoto Ueno
- Plant Science top 5%
- Molecular Biology
- Cell Biology top 10%
- Pharmacology top 10%
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Junichi KiharaSakae AraseYuichi HondaAkihiro MoriwakiS. AraseNozomi TanakaHitoshi ShibataKotomi Ueno
- Topics
- Plant-Microbe Interactions and Immunity (38 papers)Plant Pathogens and Fungal Diseases (36 papers)Fungal Biology and Applications (9 papers)
- Partner nations
- JapanBangladeshUnited States
In The Last Decade
Makoto Ueno
72 papers receiving 836 citations
Peers
Comparison fields: 5 of 76
- Plant Science 689
- Molecular Biology 293
- Cell Biology 211
- Pharmacology 95
- Ecology, Evolution, Behavior and Systematics 59
Countries citing papers authored by Makoto Ueno
This map shows the geographic impact of Makoto Ueno'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 Ueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Ueno more than expected).
Fields of papers citing papers by Makoto Ueno
This network shows the impact of papers produced by Makoto Ueno. 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 Ueno. The network helps show where Makoto Ueno may publish in the future.
Co-authorship network of co-authors of Makoto Ueno
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Ueno. A scholar is included among the top collaborators of Makoto Ueno 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 Ueno. Makoto Ueno 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 | 1 | |
| 3 | 14 | |
| 4 | 25 | |
| 5 | 19 | |
| 6 | 4 | |
| 7 | Characteristics and potential usage of dissolved silica in rice cultivation in Sumani Watershed, Sumatra, Indonesia | 0 |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | Effect of culture filtrates of Trichoderma sp. isolated from wild mushrooms on the infectious behavior of plant pathogenic fungi | 4 |
| 13 | 9 | |
| 14 | 14 | |
| 15 | 40 | |
| 16 | 27 | |
| 17 | 40 | |
| 18 | 70 | |
| 19 | 13 | |
| 20 | Soil nitrogen and its release from fertilizer and the application technique using all fertilizer as basal fertilizer. (1.) The ideal nitrogen uptake pattern for paddy rice and the pattern for the release of nitrogen from fertilizers. | 2 |
About Makoto Ueno
Makoto Ueno is a scholar working on Cell Biology, Plant Science and Pharmacology, having authored 74 papers that have together received 861 indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (38 papers), Plant Pathogens and Fungal Diseases (36 papers) and Fungal Biology and Applications (9 papers). The work is most often cited by research in Plant Science (689 citations), Cell Biology (211 citations) and Pharmacology (95 citations). Makoto Ueno has collaborated with scholars based in Japan, Bangladesh and United States. Frequent co-authors include Junichi Kihara, Sakae Arase, Yuichi Honda, Akihiro Moriwaki, S. Arase, Nozomi Tanaka, Hitoshi Shibata, Kotomi Ueno, Toshiki Asao and Md. Asaduzzaman. Their work appears in journals such as Nature, PLoS ONE and The Journal of Physical Chemistry B.
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.