Dakai Yang
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- Extracellular vesicles in disease 5
- Circular RNAs in diseases 3
- Gut microbiota and health 2
-
- MicroRNA in disease regulation 4
- Co-authors
- Hui Qian (2 shared papers)Jing Liu (1 shared paper)Qin Zhuang (2 shared papers)Jing Liu (2 shared papers)Wenrong Xu (3 shared papers)Qinggong Yuan (4 shared papers)Michael P. Manns (4 shared papers)Asha Balakrishnan (4 shared papers)
- Journals
- Liver International (1 paper)Journal of Hepatology (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Cell Death and Disease (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Dakai Yang
18 papers receiving 951 citations
Dakai Yang's Hit Papers
Peers
Comparison fields: 5 of 92
- Hepatology 147
- Cancer Research 210
- Immunology 161
- Molecular Biology 462
- Oncology 178
Countries citing papers authored by Dakai Yang
This map shows the geographic impact of Dakai Yang'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 Dakai Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dakai Yang more than expected).
Fields of papers citing papers by Dakai Yang
This network shows the impact of papers produced by Dakai Yang. 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 Dakai Yang. The network helps show where Dakai Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dakai Yang, 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 | Cancer-associated fibroblasts: from basic science to anticancer therapy Hit paper breakdown → | 2023 | 268 |
| 2 | 2016 | 159 | |
| 3 | 2022 | 116 | |
| 4 | 2021 | 57 | |
| 5 | 2016 | 48 | |
| 6 | 2021 | 44 | |
| 7 | 2021 | 37 | |
| 8 | 2017 | 36 | |
| 9 | 2014 | 34 | |
| 10 | 2023 | 33 | |
| 11 | 2018 | 29 | |
| 12 | 2024 | 26 | |
| 13 | 2022 | 26 | |
| 14 | 2020 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 2020 | 11 | |
| 17 | 2024 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2026 | 0 | |
| 20 | 2025 | 0 |
About Dakai Yang
Dakai Yang is a scholar working on Molecular Biology, Cancer Research, Hepatology, Surgery and Physiology, having authored 20 papers that have together received 956 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (4 papers), Liver physiology and pathology (3 papers), Circular RNAs in diseases (3 papers), High voltage insulation and dielectric phenomena (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Gut microbiota and health (2 papers) and Drug-Induced Hepatotoxicity and Protection (2 papers). The work is most often cited by research in Hepatology (147 citations), Cancer Research (210 citations), Immunology (161 citations), Molecular Biology (462 citations) and Oncology (178 citations). Dakai Yang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Hui Qian, Jing Liu, Qin Zhuang, Jing Liu, Wenrong Xu, Hui Qian, Qinggong Yuan, Michael P. Manns, Asha Balakrishnan and Tobias Cantz. Their work appears in journals such as Liver International, Journal of Hepatology, Frontiers in Cell and Developmental Biology, Cell Death and Disease and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.
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.