Xiaoli Wang
Impact in
- Paleontology top 2%
- Paleontology and Evolutionary Biology
- Evolution and Paleontology Studies
- Molecular Biology top 5%
- Genomics, phytochemicals, and oxidative stress
Papers in
-
- RNA modifications and cancer 6
- Epidemiology 43
- Liver Disease Diagnosis and Treatment 8
- Autophagy in Disease and Therapy 5
- Co-authors
- Jixiang Zhang (7 shared papers)Weiguo Dong (6 shared papers)Yulan Liu (1 shared paper)Qing Ye (1 shared paper)Vikash Vikash (1 shared paper)Dandan Wu (1 shared paper)Xiaoting Zheng (13 shared papers)Jingmai K. O’Connor (9 shared papers)
- Journals
- PLoS ONE (5 papers)Frontiers in Immunology (3 papers)Nature Communications (3 papers)Molecular Phylogenetics and Evolution (2 papers)Annals of Translational Medicine (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoli Wang
203 papers receiving 4.8k citations
Xiaoli Wang's Hit Papers
Peers
Comparison fields: 5 of 181
- Paleontology 372
- Molecular Biology 1.6k
- Biochemistry 135
- Cancer Research 304
- Aging 37
Countries citing papers authored by Xiaoli Wang
This map shows the geographic impact of Xiaoli 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 Xiaoli Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Wang more than expected).
Fields of papers citing papers by Xiaoli Wang
This network shows the impact of papers produced by Xiaoli 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 Xiaoli Wang. The network helps show where Xiaoli Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli 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 215 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ROS and ROS‐Mediated Cellular Signaling Hit paper breakdown → | 2016 | 1563 |
| 2 | 2015 | 121 | |
| 3 | 2011 | 86 | |
| 4 | 2015 | 83 | |
| 5 | 2012 | 80 | |
| 6 | 2018 | 79 | |
| 7 | 2019 | 72 | |
| 8 | 2006 | 68 | |
| 9 | 2013 | 64 | |
| 10 | 2022 | 63 | |
| 11 | 2014 | 62 | |
| 12 | 2019 | 62 | |
| 13 | 2017 | 51 | |
| 14 | 2019 | 51 | |
| 15 | 2013 | 50 | |
| 16 | 2004 | 47 | |
| 17 | 2016 | 44 | |
| 18 | 2014 | 44 | |
| 19 | 2014 | 43 | |
| 20 | 2013 | 43 |
About Xiaoli Wang
Xiaoli Wang is a scholar working on Molecular Biology, Epidemiology, Genetics, Immunology and Paleontology, having authored 215 papers that have together received 4.9k indexed citations. Recurring topics across this work include Paleontology and Evolutionary Biology (14 papers), Evolution and Paleontology Studies (12 papers), Ichthyology and Marine Biology (8 papers), Liver Disease Diagnosis and Treatment (8 papers), Genetic diversity and population structure (6 papers), RNA modifications and cancer (6 papers), Lipid metabolism and disorders (5 papers) and Autophagy in Disease and Therapy (5 papers). The work is most often cited by research in Paleontology (372 citations), Molecular Biology (1.6k citations), Biochemistry (135 citations), Cancer Research (304 citations) and Aging (37 citations). Xiaoli Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jixiang Zhang, Weiguo Dong, Yulan Liu, Qing Ye, Vikash Vikash, Dandan Wu, Xiaoting Zheng, Jingmai K. O’Connor, Zhonghe Zhou and Min Wang. Their work appears in journals such as PLoS ONE, Frontiers in Immunology, Nature Communications, Molecular Phylogenetics and Evolution and Annals of Translational Medicine.
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.