Shuichi Aiba
- Molecular Biology top 10%
- Biotechnology top 1%
- Biomedical Engineering top 10%
- Genetics top 10%
- Renewable Energy, Sustainability and the Environment top 10%
- Co-authors
- Tadayuki ImanakaRyoichi NakajimaTakahira OgawaYoshinori NishizawaShiro NagaiJun‐ichi KoizumiMasayoshi MatsuokaMasazumi Matsumura
- Topics
- Microbial Metabolic Engineering and Bioproduction (19 papers)Biofuel production and bioconversion (12 papers)Bacteriophages and microbial interactions (10 papers)
- Partner nations
- JapanBrazilUnited States
In The Last Decade
Shuichi Aiba
93 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.2k
- Biotechnology 447
- Biomedical Engineering 444
- Genetics 336
- Renewable Energy, Sustainability and the Environment 212
Countries citing papers authored by Shuichi Aiba
This map shows the geographic impact of Shuichi Aiba'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 Shuichi Aiba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuichi Aiba more than expected).
Fields of papers citing papers by Shuichi Aiba
This network shows the impact of papers produced by Shuichi Aiba. 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 Shuichi Aiba. The network helps show where Shuichi Aiba may publish in the future.
Co-authorship network of co-authors of Shuichi Aiba
This figure shows the co-authorship network connecting the top 25 collaborators of Shuichi Aiba. A scholar is included among the top collaborators of Shuichi Aiba 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 Shuichi Aiba. Shuichi Aiba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 7 | |
| 3 | 25 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 38 | |
| 7 | 45 | |
| 8 | 39 | |
| 9 | 4. SIMULATION OF WATER - BLOOM IN A EUTROPHIC LAKE - III | 2 |
| 10 | 3 | |
| 11 | 25 | |
| 12 | 2 | |
| 13 | Simulation and Optimization of Cultured-Broth Filtration | 2 |
| 14 | 10 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 10 | |
| 19 | Some Analysis of Lag Phase in the Growth of Microbial Cells | 1 |
| 20 | 1 |
About Shuichi Aiba
Shuichi Aiba is a scholar working on Biotechnology, Environmental Chemistry and Molecular Biology, having authored 95 papers that have together received 2.1k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (19 papers), Biofuel production and bioconversion (12 papers) and Bacteriophages and microbial interactions (10 papers). The work is most often cited by research in Biotechnology (447 citations), Molecular Biology (1.2k citations) and Environmental Chemistry (135 citations). Shuichi Aiba has collaborated with scholars based in Japan, Brazil and United States. Frequent co-authors include Tadayuki Imanaka, Ryoichi Nakajima, Takahira Ogawa, Yoshinori Nishizawa, Shiro Nagai, Jun‐ichi Koizumi, Masayoshi Matsuoka, Masazumi Matsumura, Ryuichi Sudo and Mitsumasa Okada. Their work appears in journals such as Nature, Applied and Environmental Microbiology and Water 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.