Xiaoying Dong
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Immune cells in cancer
Papers in
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- PI3K/AKT/mTOR signaling in cancer 5
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- Ferroptosis and cancer prognosis 3
- Lung Cancer Treatments and Mutations 3
- Co-authors
- Sheng-Qiu Tang (4 shared papers)Xiguang Liu (15 shared papers)Kaican Cai (16 shared papers)Shuan Rao (4 shared papers)Kaican Cai (4 shared papers)Di Lu (15 shared papers)Jianjun Yang (1 shared paper)Siyang Feng (15 shared papers)
- Journals
- Frontiers in Oncology (4 papers)Cancer Medicine (3 papers)Experimental Cell Research (2 papers)Oncotarget (2 papers)The Science of The Total Environment (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Xiaoying Dong
50 papers receiving 931 citations
Peers
Comparison fields: 5 of 133
- Cancer Research 126
- Immunology 115
- Oncology 131
- Endocrine and Autonomic Systems 32
- Molecular Biology 304
Countries citing papers authored by Xiaoying Dong
This map shows the geographic impact of Xiaoying 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 Xiaoying Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoying Dong more than expected).
Fields of papers citing papers by Xiaoying Dong
This network shows the impact of papers produced by Xiaoying 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 Xiaoying Dong. The network helps show where Xiaoying Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoying 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 126 | |
| 2 | 2019 | 106 | |
| 3 | 2010 | 96 | |
| 4 | 2011 | 54 | |
| 5 | 2018 | 47 | |
| 6 | 2017 | 46 | |
| 7 | 2012 | 44 | |
| 8 | 2015 | 36 | |
| 9 | 2008 | 33 | |
| 10 | 2020 | 28 | |
| 11 | 2022 | 25 | |
| 12 | 2018 | 23 | |
| 13 | 2016 | 20 | |
| 14 | 2022 | 17 | |
| 15 | 2016 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2022 | 13 | |
| 19 | 2019 | 12 | |
| 20 | 2018 | 12 |
About Xiaoying Dong
Xiaoying Dong is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Insect Science, having authored 55 papers that have together received 949 indexed citations. Recurring topics across this work include Insect Utilization and Effects (7 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Esophageal Cancer Research and Treatment (4 papers), Cancer-related molecular mechanisms research (3 papers), Ferroptosis and cancer prognosis (3 papers), Lung Cancer Treatments and Mutations (3 papers), Liver physiology and pathology (2 papers) and Insect and Arachnid Ecology and Behavior (2 papers). The work is most often cited by research in Cancer Research (126 citations), Immunology (115 citations), Oncology (131 citations), Endocrine and Autonomic Systems (32 citations) and Molecular Biology (304 citations). Xiaoying Dong has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Sheng-Qiu Tang, Xiguang Liu, Kaican Cai, Shuan Rao, Kaican Cai, Di Lu, Jianjun Yang, Siyang Feng, Donghui Guo and Xiaoshun Shi. Their work appears in journals such as Frontiers in Oncology, Cancer Medicine, Experimental Cell Research, Oncotarget and The Science of The Total Environment.
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.