Ying Dong
Impact in
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- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
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- RNA modifications and cancer 5
- Epigenetics and DNA Methylation 4
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- Ferroptosis and cancer prognosis 8
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 4
- Co-authors
- Qi Wang (1 shared paper)Oumin Shi (1 shared paper)Xiaoqin Lu (1 shared paper)Wei Wang (1 shared paper)Yong Li (1 shared paper)Yi Zang (9 shared papers)Yuqing Zhang (4 shared papers)Jia Li (6 shared papers)
- Journals
- Cancers (5 papers)PeerJ (2 papers)Acta Pharmacologica Sinica (2 papers)PLoS ONE (2 papers)Pacific Economic Review (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Ying Dong
63 papers receiving 814 citations
Ying Dong's Hit Papers
Peers
Comparison fields: 5 of 135
- Cancer Research 148
- Hematology 73
- Software 19
- Signal Processing 52
- Pulmonary and Respiratory Medicine 160
Countries citing papers authored by Ying Dong
This map shows the geographic impact of Ying 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 Ying Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Dong more than expected).
Fields of papers citing papers by Ying Dong
This network shows the impact of papers produced by Ying 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 Ying Dong. The network helps show where Ying Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Leukemia incidence trends at the global, regional, and national level between 1990 and 2017 Hit paper breakdown → | 2020 | 202 |
| 2 | 2021 | 63 | |
| 3 | Towards the detection of inconsistencies in public security vulnerability reports | 2019 | 49 |
| 4 | 2023 | 34 | |
| 5 | 2021 | 33 | |
| 6 | 2021 | 26 | |
| 7 | 2023 | 25 | |
| 8 | 2021 | 24 | |
| 9 | 2022 | 23 | |
| 10 | 2020 | 23 | |
| 11 | 2019 | 19 | |
| 12 | 2018 | 19 | |
| 13 | 2015 | 17 | |
| 14 | 2023 | 17 | |
| 15 | 2018 | 17 | |
| 16 | 2023 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2014 | 12 | |
| 19 | 2021 | 12 | |
| 20 | 2021 | 11 |
About Ying Dong
Ying Dong is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Surgery, having authored 66 papers that have together received 832 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (8 papers), Cancer, Lipids, and Metabolism (5 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Epigenetics and DNA Methylation (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Cancer Research (148 citations), Hematology (73 citations), Software (19 citations), Signal Processing (52 citations) and Pulmonary and Respiratory Medicine (160 citations). Ying Dong has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Qi Wang, Oumin Shi, Xiaoqin Lu, Wei Wang, Yong Li, Yi Zang, Yuqing Zhang, Jia Li, Mingshu Li and Yueqi Chen. Their work appears in journals such as Cancers, PeerJ, Acta Pharmacologica Sinica, PLoS ONE and Pacific Economic Review.
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.