Shigeyuki Itai
- Molecular Biology
- Immunology
- Radiology, Nuclear Medicine and Imaging
- Immunology and Allergy top 10%
- Hepatology top 10%
- Co-authors
- Shigeki AriiTakayoshi TobeReiji KannagiKatsuyoshi ShigetaAiko KitaharaKatsuyuki OhmoriHirohiko YamabeKazunobu Monden
- Topics
- Glycosylation and Glycoproteins Research (8 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)Liver physiology and pathology (4 papers)
- Partner nations
- Japan
In The Last Decade
Shigeyuki Itai
14 papers receiving 350 citations
Peers
Comparison fields: 5 of 51
- Molecular Biology 238
- Immunology 108
- Radiology, Nuclear Medicine and Imaging 93
- Immunology and Allergy 58
- Hepatology 55
Countries citing papers authored by Shigeyuki Itai
This map shows the geographic impact of Shigeyuki Itai'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 Shigeyuki Itai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeyuki Itai more than expected).
Fields of papers citing papers by Shigeyuki Itai
This network shows the impact of papers produced by Shigeyuki Itai. 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 Shigeyuki Itai. The network helps show where Shigeyuki Itai may publish in the future.
Co-authorship network of co-authors of Shigeyuki Itai
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeyuki Itai. A scholar is included among the top collaborators of Shigeyuki Itai 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 Shigeyuki Itai. Shigeyuki Itai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 7 | |
| 3 | Stage-specific expression of cancer-associated type 1 and type 2 chain polylactosamine antigens in the developing pancreas of human embryos. | 14 |
| 4 | 22 | |
| 5 | 16 | |
| 6 | 41 | |
| 7 | 18 | |
| 8 | Differentiation-dependent expression of I and sialyl I antigens in the developing lung of human embryos and in lung cancers. | 38 |
| 9 | 46 | |
| 10 | 3 | |
| 11 | Monoclonal antibodies directed to a disulfated glycosphingolipid, SB1a (GgOse4Cer-II3IV3-bis-sulfate), associated with human hepatocellular carcinoma. | 20 |
| 12 | 17 | |
| 13 | 47 | |
| 14 | Quantitative and qualitative characterization of human cancer-associated serum glycoprotein antigens expressing epitopes consisting of sialyl or sialyl-fucosyl type 1 chain. | 58 |
About Shigeyuki Itai
Shigeyuki Itai is a scholar working on Hepatology, Pharmacology and Immunology, having authored 14 papers that have together received 356 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Liver physiology and pathology (4 papers). The work is most often cited by research in Immunology and Allergy (58 citations), Hepatology (55 citations) and Immunology (108 citations). Shigeyuki Itai has collaborated with scholars based in Japan. Frequent co-authors include Shigeki Arii, Takayoshi Tobe, Reiji Kannagi, Katsuyoshi Shigeta, Aiko Kitahara, Katsuyuki Ohmori, Hirohiko Yamabe, Kazunobu Monden, Masaki Abe and K Zenita. Their work appears in journals such as Blood, Cancer and Cancer Immunology Immunotherapy.
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.