Tomomi Hashidate
Impact in
- Immunology top 2%
- Galectins and Cancer Biology
- Toxin Mechanisms and Immunotoxins
- Invertebrate Immune Response Mechanisms
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research
- Signaling Pathways in Disease
- Metabolomics and Mass Spectrometry Studies
Papers in
-
- Receptor Mechanisms and Signaling 3
- Sphingolipid Metabolism and Signaling 3
- Glycosylation and Glycoproteins Research 2
- Lipid Membrane Structure and Behavior 2
- Peroxisome Proliferator-Activated Receptors 1
-
- Galectins and Cancer Biology 4
- Toxin Mechanisms and Immunotoxins 3
- Co-authors
- Takao Shimizu (6 shared papers)Jun Hirabayashi (4 shared papers)Hideo Shindou (2 shared papers)Nozomu Nishi (3 shared papers)Mitsuomi Hirashima (3 shared papers)Ken‐ichi Kasai (3 shared papers)Daisuke Hishikawa (1 shared paper)Tadasu Urashima (2 shared papers)
In The Last Decade
Tomomi Hashidate
10 papers receiving 1.4k citations
Tomomi Hashidate's Hit Papers
Peers
Comparison fields: 5 of 97
- Immunology 910
- Molecular Biology 925
- Biochemistry 64
- Oncology 125
- Cell Biology 77
Countries citing papers authored by Tomomi Hashidate
This map shows the geographic impact of Tomomi Hashidate'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 Tomomi Hashidate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomomi Hashidate more than expected).
Fields of papers citing papers by Tomomi Hashidate
This network shows the impact of papers produced by Tomomi Hashidate. 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 Tomomi Hashidate. The network helps show where Tomomi Hashidate may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomomi Hashidate, 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 | Oligosaccharide specificity of galectins: a search by frontal affinity chromatography Hit paper breakdown → | 2002 | 812 |
| 2 | 2014 | 328 | |
| 3 | 2003 | 97 | |
| 4 | 2002 | 83 | |
| 5 | 2009 | 26 | |
| 6 | 2014 | 26 | |
| 7 | 2009 | 24 | |
| 8 | Glyco-catch method: A lectin affinity technique for glycoproteomics. | 2002 | 16 |
| 9 | 2010 | 9 | |
| 10 | 2009 | 8 |
About Tomomi Hashidate
Tomomi Hashidate is a scholar working on Molecular Biology, Immunology, Cell Biology, Surgery and Oncology, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Galectins and Cancer Biology (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), Receptor Mechanisms and Signaling (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Glycosylation and Glycoproteins Research (2 papers), Lipid Membrane Structure and Behavior (2 papers), Cellular transport and secretion (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Immunology (910 citations), Molecular Biology (925 citations), Biochemistry (64 citations), Oncology (125 citations) and Cell Biology (77 citations). Tomomi Hashidate has collaborated with scholars based in Japan, Germany and Canada. Frequent co-authors include Takao Shimizu, Jun Hirabayashi, Hideo Shindou, Nozomu Nishi, Mitsuomi Hirashima, Ken‐ichi Kasai, Daisuke Hishikawa, Tadasu Urashima, Takanori Nakamura and Yoichiro Arata. Their work appears in journals such as Journal of Lipid Research, The FASEB Journal, Journal of Biological Chemistry, Biochimica et Biophysica Acta (BBA) - General Subjects and Genes to Cells.
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.