Ling Dong
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Obstetrics and Gynecology top 1%
- Gestational Diabetes Research and Management
Papers in
-
- RNA modifications and cancer 14
- Ubiquitin and proteasome pathways 10
- Circular RNAs in diseases 9
- Metabolomics and Mass Spectrometry Studies 9
- Oncology 39
- Cancer Immunotherapy and Biomarkers 12
- Co-authors
- Xizhong Shen (57 shared papers)Taotao Liu (38 shared papers)Rui Xue (22 shared papers)Si Zhang (24 shared papers)Shu‐Qiang Weng (32 shared papers)Chunhui Deng (7 shared papers)Ji‐Min Zhu (24 shared papers)Hao Wu (12 shared papers)
- Journals
- Journal of Translational Medicine (6 papers)Cancer Research (4 papers)Oncogene (4 papers)Digestive Diseases and Sciences (4 papers)Analytica Chimica Acta (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ling Dong
155 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 144
- Cancer Research 956
- Obstetrics and Gynecology 418
- Molecular Biology 2.3k
- Oncology 740
- Immunology 505
Countries citing papers authored by Ling Dong
This map shows the geographic impact of Ling 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 Ling Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Dong more than expected).
Fields of papers citing papers by Ling Dong
This network shows the impact of papers produced by Ling 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 Ling Dong. The network helps show where Ling Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 224 | |
| 2 | 2018 | 210 | |
| 3 | 2017 | 192 | |
| 4 | 2018 | 168 | |
| 5 | 2011 | 164 | |
| 6 | 2016 | 164 | |
| 7 | 1999 | 153 | |
| 8 | 2009 | 135 | |
| 9 | 2012 | 109 | |
| 10 | 2008 | 109 | |
| 11 | 2019 | 108 | |
| 12 | 2007 | 103 | |
| 13 | 2018 | 85 | |
| 14 | 2008 | 83 | |
| 15 | 2009 | 80 | |
| 16 | 2020 | 74 | |
| 17 | 2021 | 69 | |
| 18 | 2019 | 65 | |
| 19 | 2021 | 61 | |
| 20 | 2012 | 61 |
About Ling Dong
Ling Dong is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 155 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (15 papers), RNA modifications and cancer (14 papers), MicroRNA in disease regulation (13 papers), Cancer Immunotherapy and Biomarkers (12 papers), Ubiquitin and proteasome pathways (10 papers), Circular RNAs in diseases (9 papers), Ferroptosis and cancer prognosis (9 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). The work is most often cited by research in Cancer Research (956 citations), Obstetrics and Gynecology (418 citations), Molecular Biology (2.3k citations), Oncology (740 citations) and Immunology (505 citations). Ling Dong has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xizhong Shen, Taotao Liu, Rui Xue, Si Zhang, Shu‐Qiang Weng, Chunhui Deng, Ji‐Min Zhu, Hao Wu, Danying Zhang and Melitta Schachner. Their work appears in journals such as Journal of Translational Medicine, Cancer Research, Oncogene, Digestive Diseases and Sciences and Analytica Chimica Acta.
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.