Dong Hua
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cancer, Hypoxia, and Metabolism 7
- MicroRNA in disease regulation 5
- Oncology 27
- Cancer Immunotherapy and Biomarkers 11
- Colorectal Cancer Treatments and Studies 5
- Co-authors
- Xiaowei Qi (11 shared papers)Bo Jiang (4 shared papers)Fen Liu (2 shared papers)Linfang Jin (6 shared papers)Yong Mao (10 shared papers)Xin Ma (5 shared papers)Xiaosong Ge (6 shared papers)Kuan Ning (3 shared papers)
- Journals
- Oncotarget (3 papers)Biochemical and Biophysical Research Communications (2 papers)Technology in Cancer Research & Treatment (2 papers)Oncology Reports (2 papers)World Journal of Gastroenterology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dong Hua
60 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 88
- Cancer Research 593
- Oncology 699
- Sensory Systems 125
- Immunology 348
- Molecular Biology 878
Countries citing papers authored by Dong Hua
This map shows the geographic impact of Dong Hua'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 Dong Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Hua more than expected).
Fields of papers citing papers by Dong Hua
This network shows the impact of papers produced by Dong Hua. 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 Dong Hua. The network helps show where Dong Hua may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong Hua, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 199 | |
| 2 | 2014 | 169 | |
| 3 | 2017 | 99 | |
| 4 | 2014 | 96 | |
| 5 | 2014 | 92 | |
| 6 | 2015 | 84 | |
| 7 | 2016 | 75 | |
| 8 | 2016 | 74 | |
| 9 | 2017 | 73 | |
| 10 | 2023 | 66 | |
| 11 | 2014 | 64 | |
| 12 | 2014 | 54 | |
| 13 | 2016 | 54 | |
| 14 | 2018 | 50 | |
| 15 | 2012 | 44 | |
| 16 | 2016 | 43 | |
| 17 | 2015 | 42 | |
| 18 | 2015 | 41 | |
| 19 | 2016 | 32 | |
| 20 | 2016 | 30 |
About Dong Hua
Dong Hua is a scholar working on Cancer Research, Oncology, Molecular Biology, Immunology and Pathology and Forensic Medicine, having authored 62 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (11 papers), Cancer, Hypoxia, and Metabolism (7 papers), Lung Cancer Treatments and Mutations (6 papers), Genetic factors in colorectal cancer (5 papers), Colorectal Cancer Treatments and Studies (5 papers), MicroRNA in disease regulation (5 papers), Ubiquitin and proteasome pathways (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Cancer Research (593 citations), Oncology (699 citations), Sensory Systems (125 citations), Immunology (348 citations) and Molecular Biology (878 citations). Dong Hua has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaowei Qi, Bo Jiang, Fen Liu, Linfang Jin, Yong Mao, Xin Ma, Xiaosong Ge, Kuan Ning, Ting Zhang and Qiongxi Pan. Their work appears in journals such as Oncotarget, Biochemical and Biophysical Research Communications, Technology in Cancer Research & Treatment, Oncology Reports and World Journal of Gastroenterology.
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.