Yoko Katayama-Fujimura
- Molecular Biology top 10%
- Ecology top 5%
- Plant Science top 10%
- Pharmacology top 10%
- Biomedical Engineering
- Co-authors
- Hiroshi KuraishiJin TámaokaTakichi KanekoYoko KômatsuSusan GottesmanMichael R. MauriziNaoko TsuzakiMasao Fujimoto
- Topics
- Genomics and Phylogenetic Studies (5 papers)Metal Extraction and Bioleaching (4 papers)Chemical and Physical Properties in Aqueous Solutions (3 papers)
- Cited by
- MicrobiologyEcologyBiotechnology
- Journals
- Journal of Biological ChemistryMicrobiologyBiochimica et Biophysica Acta (BBA) - General Subjects
- Partner nations
- JapanRussiaUnited States
In The Last Decade
Yoko Katayama-Fujimura
14 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Molecular Biology 1.1k
- Ecology 544
- Plant Science 225
- Pharmacology 162
- Biomedical Engineering 155
Countries citing papers authored by Yoko Katayama-Fujimura
This map shows the geographic impact of Yoko Katayama-Fujimura'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 Yoko Katayama-Fujimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoko Katayama-Fujimura more than expected).
Fields of papers citing papers by Yoko Katayama-Fujimura
This network shows the impact of papers produced by Yoko Katayama-Fujimura. 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 Yoko Katayama-Fujimura. The network helps show where Yoko Katayama-Fujimura may publish in the future.
Co-authorship network of co-authors of Yoko Katayama-Fujimura
This figure shows the co-authorship network connecting the top 25 collaborators of Yoko Katayama-Fujimura. A scholar is included among the top collaborators of Yoko Katayama-Fujimura 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 Yoko Katayama-Fujimura. Yoko Katayama-Fujimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 179 | |
| 3 | 52 | |
| 4 | 32 | |
| 5 | 22 | |
| 6 | 15 | |
| 7 | 159 | |
| 8 | 18 | |
| 9 | 122 | |
| 10 | 18 | |
| 11 | Analysis of bacterial menaquinone mixtures by high performance liquid chromatographybreakdown → | 630 |
| 12 | 9 | |
| 13 | 11 | |
| 14 | 79 |
About Yoko Katayama-Fujimura
Yoko Katayama-Fujimura is a scholar working on Filtration and Separation, Process Chemistry and Technology and Toxicology, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Metal Extraction and Bioleaching (4 papers) and Chemical and Physical Properties in Aqueous Solutions (3 papers). The work is most often cited by research in Microbiology (52 citations), Ecology (544 citations) and Biotechnology (153 citations). Yoko Katayama-Fujimura has collaborated with scholars based in Japan, Russia and United States. Frequent co-authors include Hiroshi Kuraishi, Jin Támaoka, Takichi Kaneko, Yoko Kômatsu, Susan Gottesman, Michael R. Maurizi, Naoko Tsuzaki, Masao Fujimoto, Masao Kumagai and Ichiro Kawashima. Their work appears in journals such as Journal of Biological Chemistry, Microbiology and Biochimica et Biophysica Acta (BBA) - General Subjects.
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.