Xiaoling Wu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hepatology top 10%
Papers in
-
- RNA modifications and cancer 8
- Ubiquitin and proteasome pathways 5
- Epidemiology 21
- Liver Disease Diagnosis and Treatment 6
- Sepsis Diagnosis and Treatment 6
- Co-authors
- Peng Yin (1 shared paper)Maigeng Zhou (1 shared paper)Lijun Wang (1 shared paper)Shiwei Liu (1 shared paper)Yue Cai (1 shared paper)Andrew Page (1 shared paper)Li Y (1 shared paper)Yunning Liu (1 shared paper)
- Journals
- Aging (3 papers)Oncology Reports (2 papers)Gene (2 papers)Virology Journal (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoling Wu
71 papers receiving 1.4k citations
Xiaoling Wu's Hit Papers
Peers
Comparison fields: 5 of 137
- Cancer Research 219
- Hepatology 75
- Oncology 256
- Health 64
- Health, Toxicology and Mutagenesis 98
Countries citing papers authored by Xiaoling Wu
This map shows the geographic impact of Xiaoling Wu'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 Xiaoling Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Wu more than expected).
Fields of papers citing papers by Xiaoling Wu
This network shows the impact of papers produced by Xiaoling Wu. 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 Xiaoling Wu. The network helps show where Xiaoling Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Wu, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An integrated national mortality surveillance system for death registration and mortality surveillance, China Hit paper breakdown → | 2015 | 275 |
| 2 | 2020 | 135 | |
| 3 | 2010 | 87 | |
| 4 | 2007 | 83 | |
| 5 | 2015 | 78 | |
| 6 | 2014 | 43 | |
| 7 | 2019 | 32 | |
| 8 | 2018 | 32 | |
| 9 | 2014 | 31 | |
| 10 | Macrophage functional phenotype can be consecutively and reversibly shifted to adapt to microenvironmental changes. | 2015 | 30 |
| 11 | 2015 | 29 | |
| 12 | 2020 | 29 | |
| 13 | 2005 | 27 | |
| 14 | 2013 | 27 | |
| 15 | 2020 | 24 | |
| 16 | 2013 | 23 | |
| 17 | 2013 | 23 | |
| 18 | 2017 | 23 | |
| 19 | 2023 | 21 | |
| 20 | 2022 | 20 |
About Xiaoling Wu
Xiaoling Wu is a scholar working on Molecular Biology, Epidemiology, Oncology, Cancer Research and Surgery, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Cancer-related Molecular Pathways (7 papers), Cancer-related molecular mechanisms research (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Cancer Cells and Metastasis (6 papers), Sepsis Diagnosis and Treatment (6 papers), Ubiquitin and proteasome pathways (5 papers) and Helicobacter pylori-related gastroenterology studies (4 papers). The work is most often cited by research in Cancer Research (219 citations), Hepatology (75 citations), Oncology (256 citations), Health (64 citations) and Health, Toxicology and Mutagenesis (98 citations). Xiaoling Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Peng Yin, Maigeng Zhou, Lijun Wang, Shiwei Liu, Yue Cai, Andrew Page, Li Y, Yunning Liu, Alan D López and Jiangmei Liu. Their work appears in journals such as Aging, Oncology Reports, Gene, Virology Journal and Cell Death and Disease.
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.