Takeshi Uozumi
- Molecular Biology top 5%
- Biotechnology top 0.5%
- Biomedical Engineering top 5%
- Plant Science top 5%
- Genetics top 10%
- Co-authors
- Teruhiko BeppuHaruhiko MasakiAkira NakamuraMakoto HidakaΚει ArimaShou TakashimaSueharu HorinouchiHajime Okumura
- Topics
- Bacterial Genetics and Biotechnology (30 papers)Enzyme Production and Characterization (29 papers)Microbial Metabolic Engineering and Bioproduction (22 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- JapanUnited KingdomBelarus
In The Last Decade
Takeshi Uozumi
134 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 1.5k
- Biotechnology 709
- Biomedical Engineering 486
- Plant Science 425
- Genetics 336
Countries citing papers authored by Takeshi Uozumi
This map shows the geographic impact of Takeshi Uozumi'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 Takeshi Uozumi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Uozumi more than expected).
Fields of papers citing papers by Takeshi Uozumi
This network shows the impact of papers produced by Takeshi Uozumi. 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 Takeshi Uozumi. The network helps show where Takeshi Uozumi may publish in the future.
Co-authorship network of co-authors of Takeshi Uozumi
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Uozumi. A scholar is included among the top collaborators of Takeshi Uozumi 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 Takeshi Uozumi. Takeshi Uozumi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 5 | |
| 3 | 45 | |
| 4 | 6 | |
| 5 | 25 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 17 | |
| 9 | 23 | |
| 10 | 10 | |
| 11 | 42 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 21 | |
| 18 | 24 | |
| 19 | 18 | |
| 20 | Studies on the Autolysis of Aspergillus oryzae :Part II. Morphological Chenge of Mycelia and Degradation Products of Cellular Constituents | 1 |
About Takeshi Uozumi
Takeshi Uozumi is a scholar working on Biotechnology, Microbiology and Molecular Medicine, having authored 138 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (30 papers), Enzyme Production and Characterization (29 papers) and Microbial Metabolic Engineering and Bioproduction (22 papers). The work is most often cited by research in Biotechnology (709 citations), Molecular Biology (1.5k citations) and Nutrition and Dietetics (194 citations). Takeshi Uozumi has collaborated with scholars based in Japan, United Kingdom and Belarus. Frequent co-authors include Teruhiko Beppu, Haruhiko Masaki, Akira Nakamura, Makoto Hidaka, Κει Arima, Shou Takashima, Sueharu Horinouchi, Hajime Okumura, Yoshiyuki Kawaguchi and Hiroshi Iikura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.