Sumio Maeda
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
Papers in ⓘ
-
- Bacterial biofilms and quorum sensing 8
- CRISPR and Genetic Engineering 8
- RNA and protein synthesis mechanisms 5
- Enzyme Catalysis and Immobilization 3
- Genetics 19
- Bacterial Genetics and Biotechnology 17
- Co-authors
- Takao Saito (12 shared papers)Érika Suzuki (3 shared papers)Hidetoshi Inagaki (12 shared papers)Katsuya Kato (3 shared papers)Akiko Matsuda (2 shared papers)Takeshi Mizuno (2 shared papers)Miki Ito (4 shared papers)Takao Saito (7 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (6 papers)Medical Mycology (3 papers)World Journal of Microbiology and Biotechnology (3 papers)Bioscience Biotechnology and Biochemistry (3 papers)IUBMB Life (2 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Sumio Maeda
48 papers receiving 793 citations
Peers
Comparison fields: 5 of 96
- Molecular Medicine 107
- Endocrinology 64
- Biotechnology 98
- Applied Microbiology and Biotechnology 18
- Pollution 100
Countries citing papers authored by Sumio Maeda
This map shows the geographic impact of Sumio 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 Sumio Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumio Maeda more than expected).
Fields of papers citing papers by Sumio Maeda
This network shows the impact of papers produced by Sumio 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 Sumio Maeda. The network helps show where Sumio Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumio Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 76 | |
| 2 | 2018 | 68 | |
| 3 | 2005 | 65 | |
| 4 | 2018 | 54 | |
| 5 | 1988 | 43 | |
| 6 | hst-1 transforming protein: expression in silkworm cells and characterization as a novel heparin-binding growth factor. | 1988 | 39 |
| 7 | 1992 | 35 | |
| 8 | 2011 | 32 | |
| 9 | 1995 | 31 | |
| 10 | 2004 | 30 | |
| 11 | 1991 | 24 | |
| 12 | 1998 | 24 | |
| 13 | 2000 | 23 | |
| 14 | 2019 | 22 | |
| 15 | 1993 | 20 | |
| 16 | 2009 | 18 | |
| 17 | 1998 | 16 | |
| 18 | 2003 | 15 | |
| 19 | 1994 | 14 | |
| 20 | 2012 | 13 |
About Sumio Maeda
Sumio Maeda is a scholar working on Molecular Biology, Genetics, Ecology, Hepatology and Biotechnology, having authored 49 papers that have together received 821 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (17 papers), Bacteriophages and microbial interactions (14 papers), Bacterial biofilms and quorum sensing (8 papers), Liver physiology and pathology (8 papers), CRISPR and Genetic Engineering (8 papers), RNA and protein synthesis mechanisms (5 papers), Enzyme Catalysis and Immobilization (3 papers) and Nuclear Physics and Applications (3 papers). The work is most often cited by research in Molecular Medicine (107 citations), Endocrinology (64 citations), Biotechnology (98 citations), Applied Microbiology and Biotechnology (18 citations) and Pollution (100 citations). Sumio Maeda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Takao Saito, Érika Suzuki, Hidetoshi Inagaki, Katsuya Kato, Akiko Matsuda, Takeshi Mizuno, Miki Ito, Takao Saito, Masaharu Okazaki and Hong Peng. Their work appears in journals such as Biochemical and Biophysical Research Communications, Medical Mycology, World Journal of Microbiology and Biotechnology, Bioscience Biotechnology and Biochemistry and IUBMB Life.
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.