Yong Dai
- Cancer Research top 0.5%
- MicroRNA in disease regulation 54
- Cancer-related molecular mechanisms research 48
- Rheumatology top 1%
- Systemic Lupus Erythematosus Research 40
- Immunology top 2%
- Immune Cell Function and Interaction 24
- Molecular Biology top 2%
- RNA modifications and cancer 41
- Epigenetics and DNA Methylation 33
- Circular RNAs in diseases 27
- Transplantation top 2%
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- Renal Diseases and Glomerulopathies 27
- Journals
- Journal of Biological Chemistry (1 paper)SHILAP Revista de lepidopterología (7 papers)Renewable and Sustainable Energy Reviews (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yong Dai
415 papers receiving 6.9k citations
Peers
Comparison fields: 5 of 161
- Cancer Research 2.2k
- Rheumatology 928
- Immunology 1.3k
- Molecular Biology 3.7k
- Transplantation 141
Countries citing papers authored by Yong Dai
This map shows the geographic impact of Yong Dai'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 Yong Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong Dai more than expected).
Fields of papers citing papers by Yong Dai
This network shows the impact of papers produced by Yong Dai. 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 Yong Dai. The network helps show where Yong Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yong Dai, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 32 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 54 | |
| 15 | 2021 | 9 | |
| 16 | 2021 | 8 | |
| 17 | Prediction of Risk Factors for the Evolution of Traumatic Subdural Effusion into Chronic Subdural Hematoma | 2020 | 0 |
| 18 | Long Noncoding RNA (lncRNA) MT1JP Suppresses Hepatocellular Carcinoma (HCC) in vitro | 2020 | 1 |
| 19 | External ventricular drainage combined with continuous lumbar drainage in the treatment of ventricular hemorrhage | 2019 | 1 |
| 20 | Clinical significance of the expression of hMLH1 and hMSH2 in colorectal cancer | 2012 | 1 |
About Yong Dai
Yong Dai is a scholar working on Transplantation, Nephrology and Cancer Research, having authored 435 papers that have together received 7.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (54 papers), Cancer-related molecular mechanisms research (48 papers), RNA modifications and cancer (41 papers), Systemic Lupus Erythematosus Research (40 papers), Epigenetics and DNA Methylation (33 papers), Renal Diseases and Glomerulopathies (27 papers), Circular RNAs in diseases (27 papers) and Immune Cell Function and Interaction (24 papers). The work is most often cited by research in Cancer Research (2.2k citations), Rheumatology (928 citations) and Immunology (1.3k citations). Yong Dai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Donge Tang, Weiguo Sui, Fengping Zheng, Minglin Ou, Wujian Peng, He Huang, Yuanshuai Huang, Min Tang, Lianghong Yin and Xin Ouyang. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.
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.