Yuta Adachi
Impact in
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Lung Cancer Research Studies
-
- Lung Cancer Treatments and Mutations
Papers in
-
- NF-κB Signaling Pathways 2
- Oncology 4
- Pancreatic and Hepatic Oncology Research 2
- Co-authors
- Hiromichi Ebi (8 shared papers)Ryo Kimura (3 shared papers)Rui Yamaguchi (2 shared papers)Tuan Zea Tan (2 shared papers)Kentaro Ito (1 shared paper)Yuko Hayashi (1 shared paper)Seiji Yano (7 shared papers)Hidenori Kitai (3 shared papers)
- Journals
- Cell Reports Medicine (1 paper)Journal of the American Chemical Society (1 paper)Cancer Science (1 paper)Cancer Discovery (1 paper)Nature Cancer (1 paper)
- Partner nations
- JapanUnited StatesSingapore
In The Last Decade
Yuta Adachi
19 papers receiving 849 citations
Peers
Comparison fields: 5 of 50
- Oncology 310
- Pulmonary and Respiratory Medicine 250
- Cancer Research 90
- Molecular Biology 439
- Immunology 115
Countries citing papers authored by Yuta Adachi
This map shows the geographic impact of Yuta Adachi'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 Yuta Adachi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuta Adachi more than expected).
Fields of papers citing papers by Yuta Adachi
This network shows the impact of papers produced by Yuta Adachi. 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 Yuta Adachi. The network helps show where Yuta Adachi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuta Adachi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 279 | |
| 2 | 2020 | 191 | |
| 3 | 2016 | 133 | |
| 4 | 2023 | 64 | |
| 5 | 2024 | 29 | |
| 6 | 2018 | 27 | |
| 7 | 2025 | 21 | |
| 8 | 2021 | 18 | |
| 9 | 2017 | 17 | |
| 10 | 2020 | 17 | |
| 11 | 2015 | 15 | |
| 12 | 2022 | 14 | |
| 13 | 2022 | 13 | |
| 14 | 2019 | 7 | |
| 15 | 2020 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2019 | 2 | |
| 18 | 2025 | 2 | |
| 19 | EUSにおける主膵管拡張を契機とし,連続膵液細胞診(serial pancreatic juice aspiration cytological examination:SPACE)にて診断された膵上皮内癌の1切除例 | 2016 | 1 |
About Yuta Adachi
Yuta Adachi is a scholar working on Cancer Research, Oncology, Cell Biology, Immunology and Molecular Biology, having authored 19 papers that have together received 859 indexed citations. Recurring topics across this work include Phagocytosis and Immune Regulation (2 papers), NF-κB Signaling Pathways (2 papers), Fibroblast Growth Factor Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Perovskite Materials and Applications (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Melanoma and MAPK Pathways (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Oncology (310 citations), Pulmonary and Respiratory Medicine (250 citations), Cancer Research (90 citations), Molecular Biology (439 citations) and Immunology (115 citations). Yuta Adachi has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Hiromichi Ebi, Ryo Kimura, Rui Yamaguchi, Tuan Zea Tan, Kentaro Ito, Yuko Hayashi, Seiji Yano, Hidenori Kitai, Hiroshi Kotani and Anthony C. Faber. Their work appears in journals such as Cell Reports Medicine, Journal of the American Chemical Society, Cancer Science, Cancer Discovery and Nature Cancer.
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.