Nian Wang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Immunology top 10%
- Immune Response and Inflammation
Papers in
-
- Inflammasome and immune disorders 7
- Epidemiology 24
- Autophagy in Disease and Therapy 8
- Virology and Viral Diseases 5
- Co-authors
- Huali Zhang (14 shared papers)Kangkai Wang (13 shared papers)Xianzhong Xiao (14 shared papers)Jiang Zou (10 shared papers)Daolin Tang (6 shared papers)Runliu Wu (6 shared papers)Rui Kang (6 shared papers)Meidong Liu (10 shared papers)
- Journals
- International Journal of Molecular Medicine (3 papers)PLoS ONE (3 papers)Virus Research (2 papers)Journal of Molecular and Cellular Cardiology (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Nian Wang
82 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 121
- Cancer Research 236
- Immunology 305
- Neurology 97
- Neurology 165
- Epidemiology 363
Countries citing papers authored by Nian Wang
This map shows the geographic impact of Nian Wang'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 Nian Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nian Wang more than expected).
Fields of papers citing papers by Nian Wang
This network shows the impact of papers produced by Nian Wang. 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 Nian Wang. The network helps show where Nian Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Nian Wang, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 139 | |
| 2 | 2016 | 126 | |
| 3 | 2020 | 122 | |
| 4 | 2016 | 95 | |
| 5 | 2020 | 94 | |
| 6 | 2020 | 83 | |
| 7 | 2019 | 68 | |
| 8 | 2021 | 66 | |
| 9 | 2017 | 61 | |
| 10 | 2023 | 52 | |
| 11 | 2022 | 47 | |
| 12 | 2023 | 47 | |
| 13 | 2017 | 45 | |
| 14 | 2018 | 44 | |
| 15 | 2019 | 41 | |
| 16 | 2015 | 40 | |
| 17 | 2017 | 37 | |
| 18 | 2018 | 31 | |
| 19 | 2016 | 29 | |
| 20 | 2017 | 29 |
About Nian Wang
Nian Wang is a scholar working on Molecular Biology, Epidemiology, Immunology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 89 papers that have together received 1.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (8 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Inflammasome and immune disorders (7 papers), Cancer-related molecular mechanisms research (6 papers), MRI in cancer diagnosis (5 papers), Virology and Viral Diseases (5 papers), Immune Cell Function and Interaction (5 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Cancer Research (236 citations), Immunology (305 citations), Neurology (97 citations), Neurology (165 citations) and Epidemiology (363 citations). Nian Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Huali Zhang, Kangkai Wang, Xianzhong Xiao, Jiang Zou, Daolin Tang, Runliu Wu, Rui Kang, Meidong Liu, Hao Wang and Ke Liu. Their work appears in journals such as International Journal of Molecular Medicine, PLoS ONE, Virus Research, Journal of Molecular and Cellular Cardiology and Frontiers in Immunology.
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.