Tsuneo Shiba
- Ecology top 2%
- Molecular Biology
- Oceanography top 5%
- Immunology
- Pollution top 5%
- Co-authors
- Nobuo TagaUsio SimiduToshimichi MaedaManabu FurushitaKeiji HarashimaMichio OhtaYukinori TakahashiKeizo Torii
- Topics
- Microbial Community Ecology and Physiology (19 papers)Genomics and Phylogenetic Studies (9 papers)Photosynthetic Processes and Mechanisms (8 papers)
- Cited by
- EcologyEndocrinologyOceanography
- Journals
- Applied and Environmental MicrobiologyPlant and Cell PhysiologyINTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Tsuneo Shiba
42 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 76
- Ecology 695
- Molecular Biology 661
- Oceanography 221
- Immunology 178
- Pollution 174
Countries citing papers authored by Tsuneo Shiba
This map shows the geographic impact of Tsuneo Shiba'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 Tsuneo Shiba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuneo Shiba more than expected).
Fields of papers citing papers by Tsuneo Shiba
This network shows the impact of papers produced by Tsuneo Shiba. 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 Tsuneo Shiba. The network helps show where Tsuneo Shiba may publish in the future.
Co-authorship network of co-authors of Tsuneo Shiba
This figure shows the co-authorship network connecting the top 25 collaborators of Tsuneo Shiba. A scholar is included among the top collaborators of Tsuneo Shiba 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 Tsuneo Shiba. Tsuneo Shiba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Fish Fermented Technology by Filamentous Fungi | 4 |
| 3 | 19 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | Distribution and horizontal transfer of antibiotic resistance gene in marine environments (Eleventh Pukyong National University: National Fisheries University symposium) | 2 |
| 7 | 196 | |
| 8 | 27 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 30 | |
| 12 | 20 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 27 | |
| 17 | 44 | |
| 18 | 117 | |
| 19 | 59 | |
| 20 | 2 |
About Tsuneo Shiba
Tsuneo Shiba is a scholar working on Endocrinology, Ecology and Oceanography, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (19 papers), Genomics and Phylogenetic Studies (9 papers) and Photosynthetic Processes and Mechanisms (8 papers). The work is most often cited by research in Ecology (695 citations), Endocrinology (117 citations) and Oceanography (221 citations). Tsuneo Shiba has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Nobuo Taga, Usio Simidu, Toshimichi Maeda, Manabu Furushita, Keiji Harashima, Michio Ohta, Yukinori Takahashi, Keizo Torii, Tadao Hasegawa and Ken-ichiro Takamiya. Their work appears in journals such as Applied and Environmental Microbiology, Plant and Cell Physiology and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY 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.