Shin Yazawa
- Molecular Biology top 10%
- Immunology top 10%
- Organic Chemistry top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery
- Co-authors
- Takayuki AsaoYukio NagamachiKhushi L. MattaRagupathy MadiyalakanHiroko IwasakiShoko NishiharaSuguru AkamatsuHiroyuki Kuwano
- Topics
- Glycosylation and Glycoproteins Research (68 papers)Carbohydrate Chemistry and Synthesis (31 papers)Monoclonal and Polyclonal Antibodies Research (26 papers)
- Partner nations
- JapanUnited StatesSpain
In The Last Decade
Shin Yazawa
93 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 1.0k
- Immunology 405
- Organic Chemistry 355
- Radiology, Nuclear Medicine and Imaging 267
- Surgery 167
Countries citing papers authored by Shin Yazawa
This map shows the geographic impact of Shin Yazawa'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 Shin Yazawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin Yazawa more than expected).
Fields of papers citing papers by Shin Yazawa
This network shows the impact of papers produced by Shin Yazawa. 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 Shin Yazawa. The network helps show where Shin Yazawa may publish in the future.
Co-authorship network of co-authors of Shin Yazawa
This figure shows the co-authorship network connecting the top 25 collaborators of Shin Yazawa. A scholar is included among the top collaborators of Shin Yazawa 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 Shin Yazawa. Shin Yazawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 20 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 17 | |
| 7 | 12 | |
| 8 | 10 | |
| 9 | α1,2 Fucosylation is a superior predictor of postoperative prognosis for colorectal cancer to expression of blood group A, B or sialyl Lewis X antigen in colorectal tumor tissues | 2 |
| 10 | 15 | |
| 11 | 11 | |
| 12 | 18 | |
| 13 | 1 | |
| 14 | 19 | |
| 15 | 43 | |
| 16 | BIOSYNTHESIS OF THE BLOOD GROUP P ANTIGEN-LIKE GalNAcβ1→3Galβ1→4GlcNAc/Glc STRUCTURE : A NOVEL N-ACETYLGALACTOSAMINYLTRANSFERASE ACTIVITY IN HUMAN BLOOD PLASMA(Biochemistry)Proceedings of the Sixty-Third Annual Meeting of the Zoologiacal Socistry of Japan | 2 |
| 17 | 1 | |
| 18 | Elevated activities of serum (α(1→3)-L-fucosyltransferase in human cancer | 8 |
| 19 | 10 | |
| 20 | 30 |
About Shin Yazawa
Shin Yazawa is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry, having authored 97 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (68 papers), Carbohydrate Chemistry and Synthesis (31 papers) and Monoclonal and Polyclonal Antibodies Research (26 papers). The work is most often cited by research in Immunology (405 citations), Molecular Biology (1.0k citations) and Hematology (146 citations). Shin Yazawa has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Takayuki Asao, Yukio Nagamachi, Khushi L. Matta, Ragupathy Madiyalakan, Hiroko Iwasaki, Shoko Nishihara, Suguru Akamatsu, Hiroyuki Kuwano, Hisashi Narimatsu and Naohisa Kochibe. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Cancer.
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.