S Gasa
Impact in
- Biochemistry top 5%
- Sulfur Compounds in Biology
-
- Glycosylation and Glycoproteins Research
- Sphingolipid Metabolism and Signaling
- Lipid Membrane Structure and Behavior
Papers in
-
- Carbohydrate Chemistry and Synthesis 16
- Physiology 12
- Lysosomal Storage Disorders Research 6
- Adipose Tissue and Metabolism 3
- Erythrocyte Function and Pathophysiology 2
- Co-authors
- Akira MakitaNaoyuki TaniguchiNorikazu SakakibaraHiroeki SaharaNobuaki TakahashiTomohiko KoyanagiTatsuya KondoKazuhiro Yoshida
In The Last Decade
S Gasa
39 papers receiving 758 citations
Peers
Comparison fields: 5 of 85
- Biochemistry 85
- Molecular Biology 621
- Cell Biology 129
- Organic Chemistry 197
- Immunology 96
Countries citing papers authored by S Gasa
This map shows the geographic impact of S Gasa'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 S Gasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Gasa more than expected).
Fields of papers citing papers by S Gasa
This network shows the impact of papers produced by S Gasa. 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 S Gasa. The network helps show where S Gasa may publish in the future.
Co-authors
The 25 scholars most cited alongside S Gasa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 3 | |
| 2 | 2003 | 26 | |
| 3 | 1998 | 23 | |
| 4 | 1998 | 73 | |
| 5 | 1998 | 25 | |
| 6 | 1997 | 76 | |
| 7 | 1996 | 2 | |
| 8 | 1995 | 4 | |
| 9 | 1995 | 7 | |
| 10 | 1993 | 55 | |
| 11 | 1992 | 2 | |
| 12 | 1991 | 6 | |
| 13 | 1991 | 9 | |
| 14 | 1991 | 23 | |
| 15 | Glycosphingolipids of porcine blood: human blood group A and H antigens with type 1 chain in erythrocytes and plasma. | 1990 | 4 |
| 16 | Training effects on blood zinc levels in humans. | 1990 | 20 |
| 17 | Biochemical studies on lymphoblastoid cells with inherited N-acetyl-glucosamine 1-phosphotransferase deficiency (I-cell disease). | 1988 | 3 |
| 18 | 1983 | 41 | |
| 19 | 1982 | 29 | |
| 20 | 1981 | 1 |
About S Gasa
S Gasa is a scholar working on Organic Chemistry, Physiology, Molecular Biology, Biotechnology and Biochemistry, having authored 40 papers that have together received 782 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (23 papers), Carbohydrate Chemistry and Synthesis (16 papers), Lysosomal Storage Disorders Research (6 papers), Sphingolipid Metabolism and Signaling (4 papers), Lipid Membrane Structure and Behavior (3 papers), Adipose Tissue and Metabolism (3 papers), Drug Transport and Resistance Mechanisms (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Biochemistry (85 citations), Molecular Biology (621 citations), Cell Biology (129 citations), Organic Chemistry (197 citations) and Immunology (96 citations). S Gasa has collaborated with scholars based in Japan, India and Germany. Frequent co-authors include Akira Makita, Naoyuki Taniguchi, Norikazu Sakakibara, Hiroeki Sahara, Nobuaki Takahashi, Tomohiko Koyanagi, Tatsuya Kondo, Kazuhiro Yoshida, Y. Urata and Satoshi Goto. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, British Journal of Cancer, The Journal of Biochemistry and Cancer Letters.
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.