Tatsuya Maeda
- Molecular Biology top 1%
- Plant Science top 1%
- Cell Biology top 0.5%
- Pharmacology top 2%
- Genetics top 10%
- Co-authors
- Haruo SaitoTerunao TakaharaMutsuhiro TakekawaFrancesc PosasTran C. ThaiHiroyuki SorimachiMasayuki YamamotoTetsuo Meshi
- Topics
- Fungal and yeast genetics research (30 papers)PI3K/AKT/mTOR signaling in cancer (15 papers)Cellular transport and secretion (10 papers)
- Cited by
- Cell BiologyAgingMolecular Biology
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Tatsuya Maeda
78 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 4.6k
- Plant Science 2.1k
- Cell Biology 1.3k
- Pharmacology 549
- Genetics 322
Countries citing papers authored by Tatsuya Maeda
This map shows the geographic impact of Tatsuya Maeda'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 Tatsuya Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Maeda more than expected).
Fields of papers citing papers by Tatsuya Maeda
This network shows the impact of papers produced by Tatsuya Maeda. 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 Tatsuya Maeda. The network helps show where Tatsuya Maeda may publish in the future.
Co-authorship network of co-authors of Tatsuya Maeda
This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Maeda. A scholar is included among the top collaborators of Tatsuya Maeda 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 Tatsuya Maeda. Tatsuya Maeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 10 | |
| 5 | 10 | |
| 6 | 25 | |
| 7 | 16 | |
| 8 | 76 | |
| 9 | 31 | |
| 10 | 47 | |
| 11 | 2 | |
| 12 | 219 | |
| 13 | 153 | |
| 14 | 84 | |
| 15 | 15 | |
| 16 | 40 | |
| 17 | [Osmotic response of the yeast Saccharomyces cerevisiae]. | 3 |
| 18 | 18 | |
| 19 | Yeast HOG1 MAP Kinase Cascade Is Regulated by a Multistep Phosphorelay Mechanism in the SLN1–YPD1–SSK1 “Two-Component” Osmosensorbreakdown → | 745 |
| 20 | A two-component system that regulates an osmosensing MAP kinase cascade in yeastbreakdown → | 931 |
About Tatsuya Maeda
Tatsuya Maeda is a scholar working on Cell Biology, Molecular Biology and Aging, having authored 79 papers that have together received 5.8k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (30 papers), PI3K/AKT/mTOR signaling in cancer (15 papers) and Cellular transport and secretion (10 papers). The work is most often cited by research in Cell Biology (1.3k citations), Aging (134 citations) and Molecular Biology (4.6k citations). Tatsuya Maeda has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Haruo Saito, Terunao Takahara, Mutsuhiro Takekawa, Francesc Posas, Tran C. Thai, Hiroyuki Sorimachi, Masayuki Yamamoto, Tetsuo Meshi, Michio Hayashi and Elizabeth Witten. Their work appears in journals such as Nature, Science and Cell.
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.