Liling Wang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
Papers in
-
- 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)Jianxun Liu (1 shared paper)Eric B. Dammer (2 shared papers)
- Journals
- Journal of Reproductive Immunology (3 papers)International Journal of Biological Macromolecules (2 papers)Blood (1 paper)Scientific Reports (1 paper)Food Research International (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Liling Wang
45 papers receiving 998 citations
Peers
Comparison fields: 5 of 122
- Cancer Research 264
- Obstetrics and Gynecology 90
- Neurology 84
- Biotechnology 69
- Biological Psychiatry 19
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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 97 | |
| 2 | 2013 | 93 | |
| 3 | 2015 | 87 | |
| 4 | 2011 | 58 | |
| 5 | 2018 | 55 | |
| 6 | 2021 | 52 | |
| 7 | 2022 | 48 | |
| 8 | 2016 | 47 | |
| 9 | 2012 | 44 | |
| 10 | 2015 | 42 | |
| 11 | 2011 | 42 | |
| 12 | 2023 | 29 | |
| 13 | 2010 | 27 | |
| 14 | 2022 | 25 | |
| 15 | 2023 | 24 | |
| 16 | 2012 | 24 | |
| 17 | 2016 | 22 | |
| 18 | 2022 | 22 | |
| 19 | 2018 | 20 | |
| 20 | 2016 | 17 |
About Liling Wang
Liling Wang is a scholar working on Molecular Biology, Immunology, Obstetrics and Gynecology, Cancer Research and Biomedical Engineering, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (7 papers), MicroRNA in disease regulation (6 papers), Pregnancy and preeclampsia studies (6 papers), Alzheimer's disease research and treatments (4 papers), Microbial Metabolism and Applications (4 papers), Neurological disorders and treatments (3 papers), Dementia and Cognitive Impairment Research (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Cancer Research (264 citations), Obstetrics and Gynecology (90 citations), Neurology (84 citations), Biotechnology (69 citations) and Biological Psychiatry (19 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, Jianxun Liu, Eric B. Dammer, Gil Mor and Jing Luo. Their work appears in journals such as Journal of Reproductive Immunology, International Journal of Biological Macromolecules, Blood, Scientific Reports and Food Research International.
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.