Shigeru Tsuiki
- Molecular Biology top 5%
- Cell Biology top 2%
- Immunology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Co-authors
- Taeko MiyagiKunimi KikuchiShinri TamuraWard PigmanAkira HiragaY. HashimotoT MiyagiG. Quintarelli
- Topics
- Glycosylation and Glycoproteins Research (40 papers)Cancer, Hypoxia, and Metabolism (20 papers)Mitochondrial Function and Pathology (15 papers)
- Partner nations
- JapanFranceUnited States
In The Last Decade
Shigeru Tsuiki
101 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.7k
- Cell Biology 581
- Immunology 283
- Endocrinology, Diabetes and Metabolism 257
- Physiology 228
Countries citing papers authored by Shigeru Tsuiki
This map shows the geographic impact of Shigeru Tsuiki'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 Shigeru Tsuiki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeru Tsuiki more than expected).
Fields of papers citing papers by Shigeru Tsuiki
This network shows the impact of papers produced by Shigeru Tsuiki. 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 Shigeru Tsuiki. The network helps show where Shigeru Tsuiki may publish in the future.
Co-authorship network of co-authors of Shigeru Tsuiki
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeru Tsuiki. A scholar is included among the top collaborators of Shigeru Tsuiki 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 Shigeru Tsuiki. Shigeru Tsuiki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 16 | |
| 3 | 14 | |
| 4 | 78 | |
| 5 | 18 | |
| 6 | 7 | |
| 7 | 58 | |
| 8 | 16 | |
| 9 | 11 | |
| 10 | 17 | |
| 11 | 6 | |
| 12 | 43 | |
| 13 | 1 | |
| 14 | 27 | |
| 15 | 20 | |
| 16 | Purification and characterization of beta-galactoside (alpha 2 leads to 6)sialyltransferase from rat liver and hepatomas. | 27 |
| 17 | Characterization of rat hepatoma glucosamine 6-phosphate synthase and its relation to liver and fetal forms. | 7 |
| 18 | 10 | |
| 19 | 9 | |
| 20 | 2 |
About Shigeru Tsuiki
Shigeru Tsuiki is a scholar working on Cell Biology, Biochemistry and Cancer Research, having authored 105 papers that have together received 2.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (40 papers), Cancer, Hypoxia, and Metabolism (20 papers) and Mitochondrial Function and Pathology (15 papers). The work is most often cited by research in Cell Biology (581 citations), Molecular Biology (1.7k citations) and Endocrinology, Diabetes and Metabolism (257 citations). Shigeru Tsuiki has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Taeko Miyagi, Kunimi Kikuchi, Shinri Tamura, Ward Pigman, Akira Hiraga, Y. Hashimoto, T Miyagi, G. Quintarelli, Kiyomi Sato and Taeko Miyagi. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.