Liling Wang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
Papers in
-
- Circular RNAs in diseases 3
-
- Reproductive System and Pregnancy 7
- Immune Cell Function and Interaction 3
- Co-authors
- Gang Wang (9 shared papers)Shengdi Chen (4 shared papers)Aihua Liao (7 shared papers)Yue Huang (2 shared papers)Shengdi Chen (3 shared papers)Ru‐Jing Ren (5 shared papers)Eric B. Dammer (2 shared papers)Gil Mor (5 shared papers)
- Journals
- Journal of Reproductive Immunology (3 papers)International Journal of Biological Macromolecules (2 papers)Journal of Alzheimer s Disease (1 paper)Molecular Neurobiology (1 paper)Blood (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Liling Wang
49 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 244
- Obstetrics and Gynecology 81
- Neurology 70
- Biotechnology 72
- Endocrine and Autonomic Systems 49
Countries citing papers authored by Liling Wang
This map shows the geographic impact of Liling 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 Liling Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liling Wang more than expected).
Fields of papers citing papers by Liling Wang
This network shows the impact of papers produced by Liling 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 Liling Wang. The network helps show where Liling Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Liling 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 100 | |
| 2 | 2015 | 97 | |
| 3 | 2013 | 97 | |
| 4 | 2011 | 59 | |
| 5 | 2021 | 57 | |
| 6 | 2022 | 57 | |
| 7 | 2018 | 55 | |
| 8 | 2016 | 50 | |
| 9 | 2012 | 45 | |
| 10 | 2011 | 42 | |
| 11 | 2015 | 42 | |
| 12 | 2023 | 33 | |
| 13 | 2010 | 28 | |
| 14 | 2022 | 26 | |
| 15 | 2023 | 25 | |
| 16 | 2016 | 25 | |
| 17 | 2022 | 24 | |
| 18 | 2012 | 24 | |
| 19 | 2018 | 20 | |
| 20 | 2016 | 18 |
About Liling Wang
Liling Wang is a scholar working on Molecular Biology, Immunology, Cancer Research, Obstetrics and Gynecology and Biomedical Engineering, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (7 papers), MicroRNA in disease regulation (6 papers), Pregnancy and preeclampsia studies (5 papers), Microbial Metabolism and Applications (4 papers), Neurological disorders and treatments (3 papers), Alzheimer's disease research and treatments (3 papers), Circular RNAs in diseases (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Cancer Research (244 citations), Obstetrics and Gynecology (81 citations), Neurology (70 citations), Biotechnology (72 citations) and Endocrine and Autonomic Systems (49 citations). Liling Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Gang Wang, Shengdi Chen, Aihua Liao, Yue Huang, Shengdi Chen, Ru‐Jing Ren, Eric B. Dammer, Gil Mor, Jianxun Liu and Jing Luo. Their work appears in journals such as Journal of Reproductive Immunology, International Journal of Biological Macromolecules, Journal of Alzheimer s Disease, Molecular Neurobiology and Blood.
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.