Yutaka Hattori
- Molecular Biology top 10%
- Hematology top 5%
- Oncology top 10%
- Genetics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Yasuo IkedaM TeradaTakashi SugimuraMasahiro KizakiO KatohYoshihiro HamakawaChiharu KawamuraDusit Kruangam
- Topics
- Multiple Myeloma Research and Treatments (30 papers)Protein Degradation and Inhibitors (10 papers)Cancer Treatment and Pharmacology (9 papers)
- Cited by
- HematologyMolecular BiologyOncology
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Yutaka Hattori
100 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 130
- Molecular Biology 918
- Hematology 325
- Oncology 318
- Genetics 249
- Electrical and Electronic Engineering 183
Countries citing papers authored by Yutaka Hattori
This map shows the geographic impact of Yutaka Hattori'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 Yutaka Hattori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutaka Hattori more than expected).
Fields of papers citing papers by Yutaka Hattori
This network shows the impact of papers produced by Yutaka Hattori. 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 Yutaka Hattori. The network helps show where Yutaka Hattori may publish in the future.
Co-authorship network of co-authors of Yutaka Hattori
This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Hattori. A scholar is included among the top collaborators of Yutaka Hattori 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 Yutaka Hattori. Yutaka Hattori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 19 | |
| 5 | 29 | |
| 6 | 30 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 21 | |
| 10 | 1 | |
| 11 | Development And Mass Production of X60 High Deformable Line Pipe Suitable For Strain-based Design | 1 |
| 12 | 11 | |
| 13 | UNDERSTANDING THE TIRE-TO-ROAD INTERFACE VIA AN INTELLIGENT TPMS. | 1 |
| 14 | 5 | |
| 15 | 23 | |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 8 | |
| 19 | High-conductive wide band gap p-type a-SiC:H prepared by ECR CVD and its application to high efficiency a-Si basis solar cells | 3 |
| 20 | Effect of glucose and fructose in a diet or a drinking water on body weight gain, liver lipid content and serum triglyceride level in 4 strains of rats. | 5 |
About Yutaka Hattori
Yutaka Hattori is a scholar working on Hematology, Oncology and Genetics, having authored 109 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (30 papers), Protein Degradation and Inhibitors (10 papers) and Cancer Treatment and Pharmacology (9 papers). The work is most often cited by research in Hematology (325 citations), Molecular Biology (918 citations) and Oncology (318 citations). Yutaka Hattori has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Yasuo Ikeda, M Terada, Takashi Sugimura, Masahiro Kizaki, O Katoh, Yoshihiro Hamakawa, Chiharu Kawamura, Dusit Kruangam, Hideo Uchida and Hiroki Odagiri. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.
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.