Ning Dong
Impact in
- Immunology top 5%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
- Immunology 20
- Immune Response and Inflammation 16
- Immune Cell Function and Interaction 7
- Immune cells in cancer 5
- T-cell and B-cell Immunology 4
- Co-authors
- Yong-ming Yao (36 shared papers)Zhi-yong Sheng (25 shared papers)Yong-Ming Yao (8 shared papers)Yan Yu (11 shared papers)Xiaomei Zhu (9 shared papers)Yao Wu (11 shared papers)Yingyi Luan (5 shared papers)Lixin He (5 shared papers)
- Journals
- Shock (4 papers)Scientific Reports (4 papers)Cytokine (3 papers)Journal of Interferon & Cytokine Research (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Ning Dong
68 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Immunology 427
- Critical Care and Intensive Care Medicine 57
- Neurology 81
- Clinical Biochemistry 65
- Epidemiology 290
Countries citing papers authored by Ning Dong
This map shows the geographic impact of Ning 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 Ning Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Dong more than expected).
Fields of papers citing papers by Ning Dong
This network shows the impact of papers produced by Ning 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 Ning Dong. The network helps show where Ning Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 75 | |
| 2 | 2013 | 73 | |
| 3 | 2011 | 61 | |
| 4 | 2022 | 56 | |
| 5 | 2023 | 53 | |
| 6 | 2022 | 53 | |
| 7 | 2017 | 50 | |
| 8 | 2020 | 50 | |
| 9 | 2015 | 48 | |
| 10 | 2011 | 48 | |
| 11 | 2015 | 45 | |
| 12 | 2019 | 41 | |
| 13 | 2011 | 39 | |
| 14 | 2012 | 39 | |
| 15 | 2017 | 38 | |
| 16 | 2011 | 38 | |
| 17 | 2009 | 37 | |
| 18 | 2010 | 35 | |
| 19 | 2007 | 30 | |
| 20 | 2015 | 26 |
About Ning Dong
Ning Dong is a scholar working on Immunology, Epidemiology, Molecular Biology, Neurology and Clinical Biochemistry, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Response and Inflammation (16 papers), Immune Cell Function and Interaction (7 papers), Natural Language Processing Techniques (5 papers), Immune cells in cancer (5 papers), Topic Modeling (4 papers), T-cell and B-cell Immunology (4 papers), Advanced Glycation End Products research (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Immunology (427 citations), Critical Care and Intensive Care Medicine (57 citations), Neurology (81 citations), Clinical Biochemistry (65 citations) and Epidemiology (290 citations). Ning Dong has collaborated with scholars based in China and United States. Frequent co-authors include Yong-ming Yao, Zhi-yong Sheng, Yong-Ming Yao, Yan Yu, Xiaomei Zhu, Yao Wu, Yingyi Luan, Lixin He, Yuhang Gao and Xin Qi. Their work appears in journals such as Shock, Scientific Reports, Cytokine, Journal of Interferon & Cytokine Research and PLoS ONE.
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.