Tomokuni Abe
Impact in
- Biotechnology top 2%
- Biochemical and biochemical processes
- Pollution top 10%
- Microbial bioremediation and biosurfactants
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 3
- Glutathione Transferases and Polymorphisms 1
- Microbial metabolism and enzyme function 1
-
- Biochemical and biochemical processes 3
- Co-authors
- Eiji Masai (8 shared papers)Masao Fukuda (7 shared papers)Yoshihiro Katayama (7 shared papers)Keisuke Miyauchi (2 shared papers)Daisuke Kasai (5 shared papers)Naofumi Kamimura (4 shared papers)Tomonori Sonoki (2 shared papers)Masaya Nakamura (3 shared papers)
- Journals
- Journal of Bacteriology (3 papers)Scientific Reports (1 paper)Bioscience Biotechnology and Biochemistry (1 paper)Applied and Environmental Microbiology (1 paper)Journal of Bioscience and Bioengineering (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Tomokuni Abe
8 papers receiving 534 citations
Peers
Comparison fields: 5 of 48
- Biotechnology 255
- Pollution 110
- Biomedical Engineering 283
- Plant Science 216
- Molecular Biology 242
Countries citing papers authored by Tomokuni Abe
This map shows the geographic impact of Tomokuni Abe'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 Tomokuni Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomokuni Abe more than expected).
Fields of papers citing papers by Tomokuni Abe
This network shows the impact of papers produced by Tomokuni Abe. 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 Tomokuni Abe. The network helps show where Tomokuni Abe may publish in the future.
Co-authors
The 15 scholars most cited alongside Tomokuni Abe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 121 | |
| 2 | 2004 | 93 | |
| 3 | 2009 | 86 | |
| 4 | 2012 | 63 | |
| 5 | 2015 | 61 | |
| 6 | 2010 | 53 | |
| 7 | 2011 | 35 | |
| 8 | 2019 | 27 |
About Tomokuni Abe
Tomokuni Abe is a scholar working on Molecular Biology, Biotechnology, Plant Science, Biomedical Engineering and Pollution, having authored 8 papers that have together received 539 indexed citations. Recurring topics across this work include Enzyme-mediated dye degradation (3 papers), Biochemical and biochemical processes (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Microbial bioremediation and biosurfactants (2 papers), Biofuel production and bioconversion (2 papers), Glutathione Transferases and Polymorphisms (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Microbial metabolism and enzyme function (1 paper). The work is most often cited by research in Biotechnology (255 citations), Pollution (110 citations), Biomedical Engineering (283 citations), Plant Science (216 citations) and Molecular Biology (242 citations). Tomokuni Abe has collaborated with scholars based in Japan and United States. Frequent co-authors include Eiji Masai, Masao Fukuda, Yoshihiro Katayama, Keisuke Miyauchi, Daisuke Kasai, Naofumi Kamimura, Tomonori Sonoki, Masaya Nakamura, Yuichiro Otsuka and Shinya Kajita. Their work appears in journals such as Journal of Bacteriology, Scientific Reports, Bioscience Biotechnology and Biochemistry, Applied and Environmental Microbiology and Journal of Bioscience and Bioengineering.
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.