Takumi Ito
- Molecular Biology top 2%
- Hematology top 0.5%
- Oncology top 2%
- Immunology top 10%
- Genetics top 5%
- Co-authors
- Hiroshi HandaHideki AndoYuki YamaguchiToshihiko OguraTakayuki SuzukiYoshimasa ImamuraPeter SchäferJian Kang
- Topics
- Protein Degradation and Inhibitors (28 papers)Multiple Myeloma Research and Treatments (27 papers)Ubiquitin and proteasome pathways (18 papers)
- Cited by
- HematologyMolecular BiologyOncology
- Partner nations
- JapanMalaysiaUnited States
In The Last Decade
Takumi Ito
74 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 3.4k
- Hematology 1.8k
- Oncology 1.1k
- Immunology 338
- Genetics 276
Countries citing papers authored by Takumi Ito
This map shows the geographic impact of Takumi Ito'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 Takumi Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takumi Ito more than expected).
Fields of papers citing papers by Takumi Ito
This network shows the impact of papers produced by Takumi Ito. 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 Takumi Ito. The network helps show where Takumi Ito may publish in the future.
Co-authorship network of co-authors of Takumi Ito
This figure shows the co-authorship network connecting the top 25 collaborators of Takumi Ito. A scholar is included among the top collaborators of Takumi Ito 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 Takumi Ito. Takumi Ito 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 | 1 | |
| 3 | 1 | |
| 4 | 18 | |
| 5 | 22 | |
| 6 | 86 | |
| 7 | 53 | |
| 8 | 8 | |
| 9 | Immunomodulatory agents lenalidomide and pomalidomide co‐stimulate | 457 |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 30 | |
| 13 | 35 | |
| 14 | Identification of a Primary Target of Thalidomide Teratogenicitybreakdown → | 1512 |
| 15 | 6 | |
| 16 | 1 | |
| 17 | A celecoxib derivative potently inhibits proliferation of colon adenocarcinoma cells by induction of apoptosis. | 7 |
| 18 | MF and MMSE Combined Iterative Soft Interference Canceller for MIMO/OFDM Systems | 1 |
| 19 | 1 | |
| 20 | 0 |
About Takumi Ito
Takumi Ito is a scholar working on Hematology, Molecular Biology and Biophysics, having authored 75 papers that have together received 4.6k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (28 papers), Multiple Myeloma Research and Treatments (27 papers) and Ubiquitin and proteasome pathways (18 papers). The work is most often cited by research in Hematology (1.8k citations), Molecular Biology (3.4k citations) and Oncology (1.1k citations). Takumi Ito has collaborated with scholars based in Japan, Malaysia and United States. Frequent co-authors include Hiroshi Handa, Hideki Ando, Yuki Yamaguchi, Toshihiko Ogura, Takayuki Suzuki, Yoshimasa Imamura, Peter Schäfer, Jian Kang, Anita K. Gandhi and Rajesh Chopra. Their work appears in journals such as Science, Chemical Society Reviews 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.