Dehua Yu
Impact in
- Immunology top 5%
- Galectins and Cancer Biology
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions
Papers in
-
- RNA Interference and Gene Delivery 6
- RNA modifications and cancer 4
- Oncology 21
- Cytokine Signaling Pathways and Interactions 5
- Co-authors
- Gen‐Sheng Feng (4 shared papers)Min You (2 shared papers)Chunbo Li (7 shared papers)Morag Park (1 shared paper)Jie Qian (5 shared papers)Mark S. Marshall (1 shared paper)Zhongqing Shi (1 shared paper)Yumei Wan (2 shared papers)
- Journals
- Frontiers in Public Health (7 papers)Cancer Research (4 papers)BMJ Open (4 papers)BMC Primary Care (2 papers)BMC Family Practice (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dehua Yu
85 papers receiving 2.3k citations
Dehua Yu's Hit Papers
Peers
Comparison fields: 5 of 147
- Immunology 487
- Oncology 519
- Molecular Biology 1.1k
- Cancer Research 243
- Clinical Psychology 327
Countries citing papers authored by Dehua Yu
This map shows the geographic impact of Dehua Yu'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 Dehua Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dehua Yu more than expected).
Fields of papers citing papers by Dehua Yu
This network shows the impact of papers produced by Dehua Yu. 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 Dehua Yu. The network helps show where Dehua Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dehua Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 303 | |
| 2 | An update on the prevalence of eating disorders in the general population: a systematic review and meta-analysis Hit paper breakdown → | 2021 | 221 |
| 3 | 2000 | 199 | |
| 4 | 1999 | 124 | |
| 5 | 2001 | 117 | |
| 6 | 2004 | 105 | |
| 7 | 2013 | 103 | |
| 8 | 2021 | 86 | |
| 9 | 2016 | 76 | |
| 10 | 2008 | 62 | |
| 11 | 2013 | 61 | |
| 12 | 2007 | 60 | |
| 13 | 2014 | 59 | |
| 14 | 2004 | 57 | |
| 15 | 2020 | 34 | |
| 16 | 2023 | 33 | |
| 17 | 2017 | 32 | |
| 18 | 2010 | 29 | |
| 19 | 2022 | 27 | |
| 20 | 2021 | 27 |
About Dehua Yu
Dehua Yu is a scholar working on Molecular Biology, Oncology, General Health Professions, Psychiatry and Mental health and Finance, having authored 90 papers that have together received 2.4k indexed citations. Recurring topics across this work include Healthcare Systems and Reforms (10 papers), Primary Care and Health Outcomes (9 papers), Chronic Disease Management Strategies (9 papers), Healthcare Policy and Management (6 papers), Dementia and Cognitive Impairment Research (6 papers), RNA Interference and Gene Delivery (6 papers), Cytokine Signaling Pathways and Interactions (5 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Immunology (487 citations), Oncology (519 citations), Molecular Biology (1.1k citations), Cancer Research (243 citations) and Clinical Psychology (327 citations). Dehua Yu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Gen‐Sheng Feng, Min You, Chunbo Li, Morag Park, Jie Qian, Mark S. Marshall, Zhongqing Shi, Yumei Wan, Flossie Wong‐Staal and Qi‐Xiang Li. Their work appears in journals such as Frontiers in Public Health, Cancer Research, BMJ Open, BMC Primary Care and BMC Family Practice.
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.