Xin Wang
Impact in
- Cancer Research top 0.1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 0.5%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Bacterial biofilms and quorum sensing
Papers in
- Cancer Research 173
- Cancer-related molecular mechanisms research 89
- MicroRNA in disease regulation 86
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- RNA modifications and cancer 70
- Circular RNAs in diseases 51
- Epigenetics and DNA Methylation 46
- RNA Research and Splicing 30
- Co-authors
- Tony RomeoJames F. PrestonLouis VermeulenFlorian MarkowetzJan Paul MedemaFeng GaoEvelyn FesslerYunlong Liu
- Journals
- Nature Communications (8 papers)Frontiers in Oncology (7 papers)Cell Death and Disease (7 papers)Analytical Chemistry (6 papers)Scientific Reports (6 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xin Wang
508 papers receiving 14.7k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Cancer Research 4.5k
- Molecular Biology 9.0k
- Oncology 2.6k
- Immunology 1.3k
- Endocrinology 271
Countries citing papers authored by Xin Wang
This map shows the geographic impact of Xin 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 Xin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Wang more than expected).
Fields of papers citing papers by Xin Wang
This network shows the impact of papers produced by Xin 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 Xin Wang. The network helps show where Xin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 8 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 2 | |
| 11 | Paeoniflorin Sensitizes Breast Cancer Cells to Tamoxifen by Downregulating microRNA-15b via the FOXO1/CCND1/β-Catenin Axis | 2021 | 0 |
| 12 | 2021 | 17 | |
| 13 | 2021 | 9 | |
| 14 | 2020 | 35 | |
| 15 | 2019 | 74 | |
| 16 | 2018 | 60 | |
| 17 | 2018 | 33 | |
| 18 | 2016 | 132 | |
| 19 | 2016 | 120 | |
| 20 | 2007 | 1 |
About Xin Wang
Xin Wang is a scholar working on Cancer Research, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Gastroenterology, having authored 547 papers that have together received 14.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (89 papers), MicroRNA in disease regulation (86 papers), RNA modifications and cancer (70 papers), Circular RNAs in diseases (51 papers), Epigenetics and DNA Methylation (46 papers), Gastric Cancer Management and Outcomes (39 papers), RNA Research and Splicing (30 papers) and Pancreatic and Hepatic Oncology Research (30 papers). The work is most often cited by research in Cancer Research (4.5k citations), Molecular Biology (9.0k citations), Oncology (2.6k citations), Immunology (1.3k citations) and Endocrinology (271 citations). Xin Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tony Romeo, James F. Preston, Louis Vermeulen, Florian Markowetz, Jan Paul Medema, Feng Gao, Evelyn Fessler, Yunlong Liu, Jeremy R. Sanford and Hao Huang. Their work appears in journals such as Nature Communications, Frontiers in Oncology, Cell Death and Disease, Analytical Chemistry and Scientific Reports.
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.