K Uyemura
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Neurology top 5%
- Cell Biology top 10%
- Immunology
- Co-authors
- Masaru SuzukiRichard MeyermannS. IzumoK KitamuraChristopher LiningtonH. WekerleHiroaki AsouMasayuki Miura
- Topics
- Glycosylation and Glycoproteins Research (5 papers)Axon Guidance and Neuronal Signaling (4 papers)RNA Research and Splicing (4 papers)
- Journals
- Journal of Biological ChemistryThe Journal of ImmunologyBiochemical and Biophysical Research Communications
- Partner nations
- JapanFranceUnited States
In The Last Decade
K Uyemura
30 papers receiving 973 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 479
- Cellular and Molecular Neuroscience 360
- Neurology 214
- Cell Biology 153
- Immunology 146
Countries citing papers authored by K Uyemura
This map shows the geographic impact of K Uyemura'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 K Uyemura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Uyemura more than expected).
Fields of papers citing papers by K Uyemura
This network shows the impact of papers produced by K Uyemura. 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 K Uyemura. The network helps show where K Uyemura may publish in the future.
Co-authorship network of co-authors of K Uyemura
This figure shows the co-authorship network connecting the top 25 collaborators of K Uyemura. A scholar is included among the top collaborators of K Uyemura 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 K Uyemura. K Uyemura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 14 | |
| 3 | Purification of P0 myelin glycoprotein for crystallization. | 2 |
| 4 | [Review of neural cell adhesion molecules]. | 0 |
| 5 | 10 | |
| 6 | 12 | |
| 7 | 25 | |
| 8 | 56 | |
| 9 | 13 | |
| 10 | 29 | |
| 11 | 105 | |
| 12 | 1 | |
| 13 | Inhibitory effect of tunicamycin on glycosylation of glycoproteins in peripheral nerve myelin. | 1 |
| 14 | Synthesis and neuritogenic activity of the peptides related to P2 protein. | 2 |
| 15 | 5 | |
| 16 | 45 | |
| 17 | 37 | |
| 18 | 98 | |
| 19 | [Use of mixed acrylamide-agarose gels for the determination of neurospecific S-100 protein fractions]. | 1 |
| 20 | [Demonstration of specific proteins of the brain in mammals]. | 1 |
About K Uyemura
K Uyemura is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Cell Biology, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Axon Guidance and Neuronal Signaling (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Developmental Neuroscience (114 citations), Cellular and Molecular Neuroscience (360 citations) and Neurology (214 citations). K Uyemura has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Masaru Suzuki, Richard Meyermann, S. Izumo, K Kitamura, Christopher Linington, H. Wekerle, Hiroaki Asou, Masayuki Miura, Masaaki Kobayashi and Yuiko Tsukada. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and Biochemical and Biophysical Research Communications.
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.