Hao Dong
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Small Animals top 5%
- Brucella: diagnosis, epidemiology, treatment
Papers in
-
- Circular RNAs in diseases 6
- RNA modifications and cancer 4
-
- Cancer-related molecular mechanisms research 11
- MicroRNA in disease regulation 7
- Co-authors
- Qingmin Wu (8 shared papers)Kristen M. Johansen (2 shared papers)Jørgen Johansen (2 shared papers)Yanming Wang (1 shared paper)Diana L. Walker (1 shared paper)Jin Ye (1 shared paper)Weijing Sun (3 shared papers)Xiangjun Chen (3 shared papers)
- Journals
- Microbial Pathogenesis (3 papers)Veterinary Microbiology (2 papers)Frontiers in Veterinary Science (2 papers)Current Microbiology (1 paper)Academic Radiology (1 paper)
- Partner nations
- ChinaUnited StatesIndonesia
In The Last Decade
Hao Dong
42 papers receiving 794 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 244
- Small Animals 115
- Endocrinology 49
- Molecular Biology 510
- Immunology 61
Countries citing papers authored by Hao Dong
This map shows the geographic impact of Hao Dong'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 Hao Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Dong more than expected).
Fields of papers citing papers by Hao Dong
This network shows the impact of papers produced by Hao Dong. 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 Hao Dong. The network helps show where Hao Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Dong, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 142 | |
| 2 | Long noncoding RNA MHENCR promotes melanoma progression via regulating miR-425/489-mediated PI3K-Akt pathway. | 2017 | 59 |
| 3 | 2017 | 52 | |
| 4 | 2020 | 51 | |
| 5 | 2017 | 42 | |
| 6 | 2019 | 40 | |
| 7 | 2013 | 31 | |
| 8 | 2018 | 30 | |
| 9 | 2020 | 28 | |
| 10 | 2017 | 24 | |
| 11 | 2019 | 23 | |
| 12 | 2020 | 20 | |
| 13 | 2018 | 19 | |
| 14 | 2012 | 19 | |
| 15 | 2014 | 18 | |
| 16 | 2017 | 18 | |
| 17 | 2015 | 17 | |
| 18 | 2021 | 15 | |
| 19 | 2014 | 14 | |
| 20 | 2019 | 14 |
About Hao Dong
Hao Dong is a scholar working on Molecular Biology, Cancer Research, Small Animals, Endocrinology and Immunology, having authored 43 papers that have together received 807 indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (11 papers), Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers), Escherichia coli research studies (6 papers), Salmonella and Campylobacter epidemiology (4 papers), RNA modifications and cancer (4 papers) and Galectins and Cancer Biology (3 papers). The work is most often cited by research in Cancer Research (244 citations), Small Animals (115 citations), Endocrinology (49 citations), Molecular Biology (510 citations) and Immunology (61 citations). Hao Dong has collaborated with scholars based in China, United States and Indonesia. Frequent co-authors include Qingmin Wu, Kristen M. Johansen, Jørgen Johansen, Yanming Wang, Diana L. Walker, Jin Ye, Weijing Sun, Xiangjun Chen, Sha Liu and Xingwei Yao. Their work appears in journals such as Microbial Pathogenesis, Veterinary Microbiology, Frontiers in Veterinary Science, Current Microbiology and Academic Radiology.
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.