Xiaohui Wang
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Circular RNAs in diseases
- Extracellular vesicles in disease
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
-
- Circular RNAs in diseases 6
- RNA regulation and disease 5
-
- Cancer-related molecular mechanisms research 13
- MicroRNA in disease regulation 9
- Co-authors
- Xian‐Jun Qu (5 shared papers)Xinfeng Yu (6 shared papers)Shiyue Sun (3 shared papers)Shu‐Xiang Cui (3 shared papers)Mahan Si (3 shared papers)Dong Wang (2 shared papers)Juan Yang (1 shared paper)Tuanzhu Ha (6 shared papers)
- Journals
- Scientific Reports (4 papers)Advances in experimental medicine and biology (3 papers)Neural Plasticity (3 papers)Brain Research (3 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaohui Wang
132 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 135
- Cancer Research 800
- Molecular Biology 1.4k
- Neurology 133
- Immunology 331
- Developmental Neuroscience 60
Countries citing papers authored by Xiaohui Wang
This map shows the geographic impact of Xiaohui 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 Xiaohui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Wang more than expected).
Fields of papers citing papers by Xiaohui Wang
This network shows the impact of papers produced by Xiaohui 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 Xiaohui Wang. The network helps show where Xiaohui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui 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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 284 | |
| 2 | 2019 | 152 | |
| 3 | 2014 | 127 | |
| 4 | 2022 | 115 | |
| 5 | 2020 | 114 | |
| 6 | 2017 | 109 | |
| 7 | 2022 | 97 | |
| 8 | 2021 | 89 | |
| 9 | 2015 | 82 | |
| 10 | 2009 | 81 | |
| 11 | 2019 | 76 | |
| 12 | 2020 | 65 | |
| 13 | 2011 | 65 | |
| 14 | 2008 | 62 | |
| 15 | 2016 | 61 | |
| 16 | 2015 | 59 | |
| 17 | 2019 | 58 | |
| 18 | 2015 | 55 | |
| 19 | 2019 | 48 | |
| 20 | 2019 | 48 |
About Xiaohui Wang
Xiaohui Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Cell Biology, having authored 139 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (13 papers), MicroRNA in disease regulation (9 papers), Nerve injury and regeneration (6 papers), Circular RNAs in diseases (6 papers), RNA regulation and disease (5 papers), Neuroblastoma Research and Treatments (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers) and Autoimmune Neurological Disorders and Treatments (4 papers). The work is most often cited by research in Cancer Research (800 citations), Molecular Biology (1.4k citations), Neurology (133 citations), Immunology (331 citations) and Developmental Neuroscience (60 citations). Xiaohui Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xian‐Jun Qu, Xinfeng Yu, Shiyue Sun, Shu‐Xiang Cui, Mahan Si, Dong Wang, Juan Yang, Tuanzhu Ha, Haochen Wu and Chuanfu Li. Their work appears in journals such as Scientific Reports, Advances in experimental medicine and biology, Neural Plasticity, Brain Research and Frontiers in Immunology.
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.