Mariko Takeuchi
Impact in
- Microbiology top 2%
- Endocrinology top 5%
Papers in
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- Genomics and Phylogenetic Studies 13
- Gut microbiota and health 3
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- Microbial Metabolism and Applications 5
- Enzyme Production and Characterization 4
- Co-authors
- Akira Yokota (11 shared papers)Kazunori Hatano (3 shared papers)Fusako Kawai (2 shared papers)Norbert Weiss (2 shared papers)Takeshi Sakane (2 shared papers)Yu Ryang Pyun (1 shared paper)Jin Hee Yoon (1 shared paper)Yong Kook Shin (1 shared paper)
In The Last Decade
Mariko Takeuchi
49 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Microbiology 53
- Endocrinology 100
- Biotechnology 158
- Molecular Medicine 68
- Ecology 337
Countries citing papers authored by Mariko Takeuchi
This map shows the geographic impact of Mariko Takeuchi'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 Mariko Takeuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariko Takeuchi more than expected).
Fields of papers citing papers by Mariko Takeuchi
This network shows the impact of papers produced by Mariko Takeuchi. 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 Mariko Takeuchi. The network helps show where Mariko Takeuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mariko Takeuchi, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 197 | |
| 2 | 1993 | 155 | |
| 3 | 2001 | 121 | |
| 4 | 1992 | 96 | |
| 5 | 1993 | 75 | |
| 6 | 2012 | 66 | |
| 7 | 1981 | 51 | |
| 8 | 1998 | 48 | |
| 9 | 1978 | 48 | |
| 10 | 2020 | 46 | |
| 11 | Polyamine Profiles as Chemotaxonomic Marker within Alpha, Beta, Gamma, Delta, and Epsilon Subclasses of Class Proteobacteria : Distribution of 2-Hydroxyputrescine and Homospermidine | 1998 | 35 |
| 12 | 1993 | 32 | |
| 13 | 1994 | 31 | |
| 14 | 1989 | 27 | |
| 15 | 2002 | 26 | |
| 16 | 2002 | 20 | |
| 17 | 2003 | 19 | |
| 18 | 1999 | 19 | |
| 19 | 1984 | 16 | |
| 20 | 2022 | 15 |
About Mariko Takeuchi
Mariko Takeuchi is a scholar working on Molecular Biology, Biotechnology, Pharmacology, Plant Science and Physiology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), Microbial Metabolism and Applications (5 papers), Diet and metabolism studies (5 papers), Enzyme Production and Characterization (4 papers), Microbial Natural Products and Biosynthesis (4 papers), Maternal Mental Health During Pregnancy and Postpartum (3 papers), Gut microbiota and health (3 papers) and Plant Pathogens and Fungal Diseases (3 papers). The work is most often cited by research in Microbiology (53 citations), Endocrinology (100 citations), Biotechnology (158 citations), Molecular Medicine (68 citations) and Ecology (337 citations). Mariko Takeuchi has collaborated with scholars based in Japan, Germany and Austria. Frequent co-authors include Akira Yokota, Kazunori Hatano, Fusako Kawai, Norbert Weiss, Takeshi Sakane, Yu Ryang Pyun, Jin Hee Yoon, Yong Kook Shin, Yong-Ha Park and Koei Hamana. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, The Journal of General and Applied Microbiology, Nutrients, Antimicrobial Agents and Chemotherapy and Systematic and Applied Microbiology.
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.