M Haraguchi
Impact in
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- Galectins and Cancer Biology
- Cell Biology top 10%
- Cellular transport and secretion
Papers in
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- Glycosylation and Glycoproteins Research 6
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- Galectins and Cancer Biology 3
- T-cell and Retrovirus Studies 1
- Co-authors
- Hiroshi Shiku (4 shared papers)Koichi Furukawa (5 shared papers)S. Yamashiro (5 shared papers)Kogo Takamiya (4 shared papers)Akira Yamamoto (2 shared papers)M Okada (3 shared papers)Masashi Shin (2 shared papers)Mihoko Sakae (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Biochemical Journal (1 paper)The Journal of Urology (1 paper)PubMed (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
M Haraguchi
8 papers receiving 583 citations
Peers
Comparison fields: 5 of 55
- Immunology 168
- Cell Biology 133
- Molecular Biology 461
- Neurology 65
- Cellular and Molecular Neuroscience 81
Countries citing papers authored by M Haraguchi
This map shows the geographic impact of M Haraguchi'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 M Haraguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Haraguchi more than expected).
Fields of papers citing papers by M Haraguchi
This network shows the impact of papers produced by M Haraguchi. 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 M Haraguchi. The network helps show where M Haraguchi may publish in the future.
Co-authors
The 25 scholars most cited alongside M Haraguchi, 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 | 1996 | 311 | |
| 2 | 1994 | 162 | |
| 3 | 1995 | 62 | |
| 4 | High expression of ganglioside alpha-2,8-sialyltransferase (GD3 synthase) gene in adult T-cell leukemia cells unrelated to the gene expression of human T-lymphotropic virus type I. | 1996 | 37 |
| 5 | Mice with disrupted GM2/GD2 synthase gene lack complex gangliosides but exhibit only subtle defects in their nervous system | 1998 | 13 |
| 6 | 2020 | 4 | |
| 7 | [The effect of sustained-release theophylline granules in the inhibition of exercise-induced asthma]. | 1992 | 1 |
| 8 | 1999 | 1 |
About M Haraguchi
M Haraguchi is a scholar working on Molecular Biology, Immunology, Physiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 591 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Galectins and Cancer Biology (3 papers), Lysosomal Storage Disorders Research (2 papers), T-cell and Retrovirus Studies (1 paper), Pharmacy and Medical Practices (1 paper), Lipid metabolism and disorders (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Asthma and respiratory diseases (1 paper). The work is most often cited by research in Immunology (168 citations), Cell Biology (133 citations), Molecular Biology (461 citations), Neurology (65 citations) and Cellular and Molecular Neuroscience (81 citations). M Haraguchi has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroshi Shiku, Koichi Furukawa, S. Yamashiro, Kogo Takamiya, Akira Yamamoto, M Okada, Masashi Shin, Mihoko Sakae, Satoshi Fukumoto and Masao Kishikawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical Journal, The Journal of Urology and PubMed.
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.