Xi Wang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Physiology top 5%
- Pain Mechanisms and Treatments
Papers in
-
- RNA modifications and cancer 8
- Circular RNAs in diseases 7
- Sexual Differentiation and Disorders 7
- Physiology 35
- Adipose Tissue and Metabolism 10
- Co-authors
- Lingling Dai (16 shared papers)Liuqun Jia (13 shared papers)Tianci Jiang (10 shared papers)Naranjan S. Dhalla (9 shared papers)Xiaogang Jing (12 shared papers)Zhe Cheng (8 shared papers)Nora L. Lee (2 shared papers)Igor Burstyn (2 shared papers)
- Journals
- Current Medicinal Chemistry (3 papers)Canadian Journal of Physiology and Pharmacology (3 papers)Biomedicine & Pharmacotherapy (3 papers)Oncology Reports (3 papers)BMC Gastroenterology (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xi Wang
159 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 147
- Cancer Research 570
- Physiology 505
- Molecular Biology 1.3k
- Neurology 130
- Reproductive Medicine 125
Countries citing papers authored by Xi Wang
This map shows the geographic impact of Xi 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 Xi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Wang more than expected).
Fields of papers citing papers by Xi Wang
This network shows the impact of papers produced by Xi 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 Xi Wang. The network helps show where Xi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xi 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 169 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 188 | |
| 2 | 2004 | 106 | |
| 3 | 2020 | 90 | |
| 4 | 2018 | 89 | |
| 5 | 2018 | 81 | |
| 6 | 2018 | 79 | |
| 7 | 2018 | 77 | |
| 8 | 2009 | 73 | |
| 9 | 2020 | 67 | |
| 10 | 2010 | 62 | |
| 11 | 2020 | 61 | |
| 12 | 2018 | 61 | |
| 13 | 2007 | 59 | |
| 14 | 2018 | 51 | |
| 15 | 2020 | 50 | |
| 16 | 2020 | 48 | |
| 17 | 2019 | 46 | |
| 18 | 2016 | 42 | |
| 19 | 2019 | 40 | |
| 20 | 2010 | 38 |
About Xi Wang
Xi Wang is a scholar working on Molecular Biology, Physiology, Cancer Research, Epidemiology and Pulmonary and Respiratory Medicine, having authored 169 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (14 papers), Adipose Tissue and Metabolism (10 papers), RNA modifications and cancer (8 papers), MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Autophagy in Disease and Therapy (7 papers) and Sexual Differentiation and Disorders (7 papers). The work is most often cited by research in Cancer Research (570 citations), Physiology (505 citations), Molecular Biology (1.3k citations), Neurology (130 citations) and Reproductive Medicine (125 citations). Xi Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lingling Dai, Liuqun Jia, Tianci Jiang, Naranjan S. Dhalla, Xiaogang Jing, Zhe Cheng, Nora L. Lee, Igor Burstyn, Peng Qu and Cong Yan. Their work appears in journals such as Current Medicinal Chemistry, Canadian Journal of Physiology and Pharmacology, Biomedicine & Pharmacotherapy, Oncology Reports and BMC Gastroenterology.
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.