Go Totsukawa
- Cell Biology top 0.5%
- Molecular Biology top 10%
- Immunology and Allergy top 2%
- Oncology
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Fumio MatsumuraYoshihiko YamakitaShigeko YamashiroDavid J. HartshorneYasuharu SasakiYue WuShoichiro OnoTimothy J. Mitchison
- Topics
- Cellular Mechanics and Interactions (8 papers)Microtubule and mitosis dynamics (6 papers)Endoplasmic Reticulum Stress and Disease (4 papers)
- Journals
- The Journal of Cell BiologyThe EMBO JournalBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesDenmark
In The Last Decade
Go Totsukawa
18 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Cell Biology 1.3k
- Molecular Biology 1.2k
- Immunology and Allergy 290
- Oncology 194
- Cardiology and Cardiovascular Medicine 188
Countries citing papers authored by Go Totsukawa
This map shows the geographic impact of Go Totsukawa'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 Go Totsukawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Go Totsukawa more than expected).
Fields of papers citing papers by Go Totsukawa
This network shows the impact of papers produced by Go Totsukawa. 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 Go Totsukawa. The network helps show where Go Totsukawa may publish in the future.
Co-authorship network of co-authors of Go Totsukawa
This figure shows the co-authorship network connecting the top 25 collaborators of Go Totsukawa. A scholar is included among the top collaborators of Go Totsukawa 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 Go Totsukawa. Go Totsukawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 34 | |
| 3 | 14 | |
| 4 | 7 | |
| 5 | 133 | |
| 6 | 89 | |
| 7 | 40 | |
| 8 | 103 | |
| 9 | 334 | |
| 10 | 163 | |
| 11 | 50 | |
| 12 | Distinct Roles of Rock (Rho-Kinase) and Mlck in Spatial Regulation of Mlc Phosphorylation for Assembly of Stress Fibers and Focal Adhesions in 3t3 Fibroblastsbreakdown → | 554 |
| 13 | 102 | |
| 14 | 55 | |
| 15 | 200 | |
| 16 | 19 | |
| 17 | 6 | |
| 18 | 19 |
About Go Totsukawa
Go Totsukawa is a scholar working on Cell Biology, Immunology and Allergy and Molecular Biology, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (8 papers), Microtubule and mitosis dynamics (6 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Cell Biology (1.3k citations), Immunology and Allergy (290 citations) and Aging (47 citations). Go Totsukawa has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Fumio Matsumura, Yoshihiko Yamakita, Shigeko Yamashiro, David J. Hartshorne, Yasuharu Sasaki, Yue Wu, Shoichiro Ono, Timothy J. Mitchison, Guillaume Charras and Justin C. Yarrow. Their work appears in journals such as The Journal of Cell Biology, The EMBO Journal 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.