Ling Dong
Impact in
- Obstetrics and Gynecology top 1%
- Gestational Diabetes Research and Management
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Ubiquitin and proteasome pathways 8
- Metabolomics and Mass Spectrometry Studies 8
- RNA modifications and cancer 7
- Oncology 27
- Cancer Immunotherapy and Biomarkers 10
- Co-authors
- Xizhong Shen (58 shared papers)Taotao Liu (39 shared papers)Si Zhang (24 shared papers)Shu‐Qiang Weng (33 shared papers)Chunhui Deng (7 shared papers)Hao Wu (12 shared papers)Ji‐Min Zhu (25 shared papers)Danying Zhang (13 shared papers)
- Journals
- Journal of Translational Medicine (6 papers)Oncogene (4 papers)Cancer Research (4 papers)Digestive Diseases and Sciences (4 papers)Rapid Communications in Mass Spectrometry (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ling Dong
155 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 144
- Obstetrics and Gynecology 393
- Cancer Research 779
- Molecular Biology 2.1k
- Developmental Neuroscience 99
- Oncology 633
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 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 234 | |
| 2 | 2018 | 220 | |
| 3 | 2017 | 203 | |
| 4 | 2011 | 179 | |
| 5 | 2018 | 174 | |
| 6 | 2016 | 168 | |
| 7 | 1999 | 154 | |
| 8 | 2009 | 143 | |
| 9 | 2008 | 116 | |
| 10 | 2019 | 115 | |
| 11 | 2012 | 112 | |
| 12 | 2007 | 112 | |
| 13 | 2009 | 88 | |
| 14 | 2008 | 86 | |
| 15 | 2018 | 86 | |
| 16 | 2021 | 77 | |
| 17 | 2020 | 76 | |
| 18 | 2019 | 69 | |
| 19 | 2021 | 63 | |
| 20 | 2014 | 62 |
About Ling Dong
Ling Dong is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Biomedical Engineering, having authored 156 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (10 papers), MicroRNA in disease regulation (10 papers), Immune cells in cancer (9 papers), Ubiquitin and proteasome pathways (8 papers), Cancer-related molecular mechanisms research (8 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Obstetrics and Gynecology (393 citations), Cancer Research (779 citations), Molecular Biology (2.1k citations), Developmental Neuroscience (99 citations) and Oncology (633 citations). Ling Dong has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xizhong Shen, Taotao Liu, Si Zhang, Shu‐Qiang Weng, Chunhui Deng, Hao Wu, Ji‐Min Zhu, Danying Zhang, She Chen and Suzhen Chen. Their work appears in journals such as Journal of Translational Medicine, Oncogene, Cancer Research, Digestive Diseases and Sciences and Rapid Communications in Mass Spectrometry.
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.