Koichi Furukawa
- Molecular Biology top 0.2%
- Immunology top 0.5%
- Cell Biology top 0.2%
- Physiology top 0.5%
- Neurology top 0.5%
- Co-authors
- Keiko FurukawaTakeshi UranoHiroshi ShikuTetsuya OkajimaSatoshi FukumotoKenneth O. LloydNoboru TomizukaMark P. Mattson
- Topics
- Glycosylation and Glycoproteins Research (167 papers)Galectins and Cancer Biology (60 papers)Monoclonal and Polyclonal Antibodies Research (43 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Koichi Furukawa
402 papers receiving 17.9k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 11.5k
- Immunology 3.5k
- Cell Biology 3.0k
- Physiology 2.1k
- Neurology 1.8k
Countries citing papers authored by Koichi Furukawa
This map shows the geographic impact of Koichi Furukawa'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 Koichi Furukawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Furukawa more than expected).
Fields of papers citing papers by Koichi Furukawa
This network shows the impact of papers produced by Koichi Furukawa. 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 Koichi Furukawa. The network helps show where Koichi Furukawa may publish in the future.
Co-authorship network of co-authors of Koichi Furukawa
This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Furukawa. A scholar is included among the top collaborators of Koichi Furukawa 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 Koichi Furukawa. Koichi Furukawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 54 | |
| 5 | 6 | |
| 6 | 14 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | 15 | |
| 10 | 6 | |
| 11 | 100 | |
| 12 | 118 | |
| 13 | Extracellular O-GlcNAc: Its biology and relationship to human disease | 0 |
| 14 | 89 | |
| 15 | 88 | |
| 16 | 0 | |
| 17 | 233 | |
| 18 | 101 | |
| 19 | 60 | |
| 20 | 19 |
About Koichi Furukawa
Koichi Furukawa is a scholar working on Immunology, Cell Biology and Immunology and Allergy, having authored 412 papers that have together received 18.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (167 papers), Galectins and Cancer Biology (60 papers) and Monoclonal and Polyclonal Antibodies Research (43 papers). The work is most often cited by research in Cell Biology (3.0k citations), Immunology (3.5k citations) and Molecular Biology (11.5k citations). Koichi Furukawa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Keiko Furukawa, Takeshi Urano, Hiroshi Shiku, Tetsuya Okajima, Satoshi Fukumoto, Kenneth O. Lloyd, Noboru Tomizuka, Mark P. Mattson, Yuhsuke Ohmi and Yuki Ohkawa. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.