Tomohiko Maehama
- Molecular Biology top 0.5%
- Cell Biology top 0.5%
- Oncology top 2%
- Immunology top 2%
- Cancer Research top 2%
- Co-authors
- Jack E. DixonGregory S. TaylorBrian A. HemmingsMarco MudaCarolyn A. WorbyJames C. ClemensYasunori KanahoNikola P. Pavletich
- Topics
- PI3K/AKT/mTOR signaling in cancer (19 papers)Hippo pathway signaling and YAP/TAZ (15 papers)Protein Kinase Regulation and GTPase Signaling (14 papers)
- Cited by
- Molecular BiologyCell BiologyAging
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Tomohiko Maehama
65 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 6.2k
- Cell Biology 1.5k
- Oncology 1.1k
- Immunology 937
- Cancer Research 798
Countries citing papers authored by Tomohiko Maehama
This map shows the geographic impact of Tomohiko Maehama'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 Tomohiko Maehama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohiko Maehama more than expected).
Fields of papers citing papers by Tomohiko Maehama
This network shows the impact of papers produced by Tomohiko Maehama. 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 Tomohiko Maehama. The network helps show where Tomohiko Maehama may publish in the future.
Co-authorship network of co-authors of Tomohiko Maehama
This figure shows the co-authorship network connecting the top 25 collaborators of Tomohiko Maehama. A scholar is included among the top collaborators of Tomohiko Maehama 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 Tomohiko Maehama. Tomohiko Maehama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 24 | |
| 3 | 91 | |
| 4 | 11 | |
| 5 | 49 | |
| 6 | 1 | |
| 7 | 27 | |
| 8 | 60 | |
| 9 | 11 | |
| 10 | 41 | |
| 11 | 27 | |
| 12 | 66 | |
| 13 | 86 | |
| 14 | 102 | |
| 15 | The Tumor Suppressor, PTEN/MMAC1, Dephosphorylates the Lipid Second Messenger, Phosphatidylinositol 3,4,5-Trisphosphatebreakdown → | 2551 |
| 16 | 229 | |
| 17 | 1 | |
| 18 | 17 | |
| 19 | 38 | |
| 20 | 1 |
About Tomohiko Maehama
Tomohiko Maehama is a scholar working on Physiology, Cell Biology and Molecular Biology, having authored 66 papers that have together received 7.6k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (19 papers), Hippo pathway signaling and YAP/TAZ (15 papers) and Protein Kinase Regulation and GTPase Signaling (14 papers). The work is most often cited by research in Molecular Biology (6.2k citations), Cell Biology (1.5k citations) and Aging (95 citations). Tomohiko Maehama has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Jack E. Dixon, Gregory S. Taylor, Brian A. Hemmings, Marco Muda, Carolyn A. Worby, James C. Clemens, Yasunori Kanaho, Nikola P. Pavletich, Maria-Magdalena Georgescu and Yigong Shi. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.