Junya Azumi
Impact in
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- Liver physiology and pathology
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Wnt/β-catenin signaling in development and cancer 3
- Glycosylation and Glycoproteins Research 1
- Ubiquitin and proteasome pathways 1
- Retinoids in leukemia and cellular processes 1
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- Thallium and Germanium Studies 4
- Co-authors
- Goshi Shiota (12 shared papers)Tomohiko Sakabe (7 shared papers)Toshiaki Tsubota (3 shared papers)Yoshihisa Umekita (4 shared papers)Tomoya Takeda (6 shared papers)Yasuhiro Shimada (6 shared papers)Takashi Nakamura (6 shared papers)Hisashi Aso (5 shared papers)
- Journals
- Anticancer Research (3 papers)International Journal of Molecular Sciences (3 papers)Cancer Science (2 papers)Inflammation Research (1 paper)Heliyon (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Junya Azumi
18 papers receiving 332 citations
Peers
Comparison fields: 5 of 65
- Hepatology 42
- Cancer Research 75
- Oncology 68
- Pollution 28
- Molecular Biology 157
Countries citing papers authored by Junya Azumi
This map shows the geographic impact of Junya Azumi'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 Junya Azumi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junya Azumi more than expected).
Fields of papers citing papers by Junya Azumi
This network shows the impact of papers produced by Junya Azumi. 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 Junya Azumi. The network helps show where Junya Azumi may publish in the future.
Co-authors
The 25 scholars most cited alongside Junya Azumi, 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 | 2016 | 63 | |
| 2 | 2017 | 29 | |
| 3 | 2019 | 26 | |
| 4 | 2011 | 25 | |
| 5 | 2017 | 24 | |
| 6 | 2016 | 23 | |
| 7 | 2011 | 19 | |
| 8 | 2017 | 19 | |
| 9 | 2019 | 18 | |
| 10 | 2017 | 16 | |
| 11 | 2015 | 14 | |
| 12 | Wnt/Beta-Catenin Signal Inhibitor HC-1 Sensitizes Oral Squamous Cell Carcinoma Cells to 5-Fluorouracil through Reduction of CD44-Positive Population. | 2016 | 14 |
| 13 | 2013 | 12 | |
| 14 | 2016 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 1 |
About Junya Azumi
Junya Azumi is a scholar working on Molecular Biology, Pollution, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 18 papers that have together received 335 indexed citations. Recurring topics across this work include Thallium and Germanium Studies (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Glycosylation and Glycoproteins Research (1 paper), Ubiquitin and proteasome pathways (1 paper), Liver physiology and pathology (1 paper), Gout, Hyperuricemia, Uric Acid (1 paper), Forensic Toxicology and Drug Analysis (1 paper) and Retinoids in leukemia and cellular processes (1 paper). The work is most often cited by research in Hepatology (42 citations), Cancer Research (75 citations), Oncology (68 citations), Pollution (28 citations) and Molecular Biology (157 citations). Junya Azumi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Goshi Shiota, Tomohiko Sakabe, Toshiaki Tsubota, Yoshihisa Umekita, Tomoya Takeda, Yasuhiro Shimada, Takashi Nakamura, Hisashi Aso, Kan Toriguchi and Etsuro Hatano. Their work appears in journals such as Anticancer Research, International Journal of Molecular Sciences, Cancer Science, Inflammation Research and Heliyon.
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.