Tomoya Baba
- Genetics top 0.2%
- Bacterial Genetics and Biotechnology 14
- Genetic Mapping and Diversity in Plants and Animals 4
- Endocrinology top 0.5%
- Molecular Medicine top 0.5%
- Molecular Biology top 0.5%
- RNA and protein synthesis mechanisms 11
- Genomics and Phylogenetic Studies 9
- Microbial Metabolic Engineering and Bioproduction 8
- Protist diversity and phylogeny 5
- Biochemistry top 1%
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- Microbial Community Ecology and Physiology 9
- Bacteriophages and microbial interactions 4
- Co-authors
- Hirotada MoriBarry L. WannerKirill A. DatsenkoMasaru TomitaYuki TakaiTakeshi AraMiki HasegawaYosuke Umehara
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tomoya Baba
42 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Genetics 4.3k
- Endocrinology 782
- Molecular Medicine 759
- Molecular Biology 6.6k
- Biochemistry 404
Countries citing papers authored by Tomoya Baba
This map shows the geographic impact of Tomoya Baba'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 Tomoya Baba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoya Baba more than expected).
Fields of papers citing papers by Tomoya Baba
This network shows the impact of papers produced by Tomoya Baba. 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 Tomoya Baba. The network helps show where Tomoya Baba may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomoya Baba, 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 | 2015 | 21 | |
| 2 | Evaluation of the Prediction of Gene Knockout Effects by Minimal Pathway Enumeration | 2012 | 1 |
| 3 | 2011 | 5 | |
| 4 | 2011 | 34 | |
| 5 | 2010 | 30 | |
| 6 | 2009 | 23 | |
| 7 | 2008 | 39 | |
| 8 | 2007 | 0 | |
| 9 | Construction of Escherichia coli K‐12 in‐frame, single‐gene knockout mutants: the Keio collectionbreakdown → | 2006 | 6172 |
| 10 | 2006 | 368 | |
| 11 | 2006 | 7 | |
| 12 | 2006 | 32 | |
| 13 | 2005 | 37 | |
| 14 | 2004 | 95 | |
| 15 | 2004 | 76 | |
| 16 | 2003 | 157 | |
| 17 | 2003 | 107 | |
| 18 | 2003 | 40 | |
| 19 | 2003 | 44 | |
| 20 | 2001 | 32 |
About Tomoya Baba
Tomoya Baba is a scholar working on Genetics, Biochemistry, Ecology, Molecular Biology and Clinical Biochemistry, having authored 43 papers that have together received 9.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (14 papers), RNA and protein synthesis mechanisms (11 papers), Microbial Community Ecology and Physiology (9 papers), Genomics and Phylogenetic Studies (9 papers), Microbial Metabolic Engineering and Bioproduction (8 papers), Protist diversity and phylogeny (5 papers), Bacteriophages and microbial interactions (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). The work is most often cited by research in Genetics (4.3k citations), Endocrinology (782 citations), Molecular Medicine (759 citations), Molecular Biology (6.6k citations) and Biochemistry (404 citations). Tomoya Baba has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hirotada Mori, Barry L. Wanner, Kirill A. Datsenko, Masaru Tomita, Yuki Takai, Takeshi Ara, Miki Hasegawa, Yosuke Umehara, Takuji Sasaki and Masahiro Yano. Their work appears in journals such as Metabolic Engineering, Polar Biology, Journal of Bacteriology, Genome and Molecular Systems Biology.
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.