Xiongjun Wang
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Metabolism, Diabetes, and Cancer
Papers in
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- Epigenetics and DNA Methylation 8
- RNA modifications and cancer 4
- Protein Degradation and Inhibitors 3
- Histone Deacetylase Inhibitors Research 3
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- Cancer, Hypoxia, and Metabolism 12
- Co-authors
- Wencheng Zhu (12 shared papers)Weiwei Yang (8 shared papers)Ji Liang (6 shared papers)Yajuan Zhang (6 shared papers)Hong Gao (7 shared papers)Hua Yu (15 shared papers)Ruilong Liu (4 shared papers)Huiying Chu (5 shared papers)
- Journals
- Nature Communications (4 papers)Molecular Cell (2 papers)Cell Research (2 papers)The EMBO Journal (2 papers)Cell Discovery (2 papers)
- Partner nations
- ChinaUnited StatesPortugal
In The Last Decade
Xiongjun Wang
40 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 557
- Molecular Biology 932
- Immunology 235
- Oncology 208
- Genetics 63
Countries citing papers authored by Xiongjun Wang
This map shows the geographic impact of Xiongjun 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 Xiongjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiongjun Wang more than expected).
Fields of papers citing papers by Xiongjun Wang
This network shows the impact of papers produced by Xiongjun 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 Xiongjun Wang. The network helps show where Xiongjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiongjun 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 271 | |
| 2 | 2018 | 243 | |
| 3 | 2019 | 160 | |
| 4 | 2020 | 159 | |
| 5 | 2019 | 122 | |
| 6 | 2019 | 116 | |
| 7 | 2019 | 90 | |
| 8 | 2021 | 78 | |
| 9 | 2019 | 64 | |
| 10 | 2018 | 54 | |
| 11 | 2013 | 40 | |
| 12 | 2019 | 40 | |
| 13 | 2021 | 38 | |
| 14 | 2020 | 36 | |
| 15 | 2024 | 30 | |
| 16 | 2023 | 28 | |
| 17 | 2020 | 27 | |
| 18 | 2018 | 26 | |
| 19 | 2019 | 25 | |
| 20 | 2015 | 24 |
About Xiongjun Wang
Xiongjun Wang is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Epidemiology, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (12 papers), Epigenetics and DNA Methylation (8 papers), Immune cells in cancer (4 papers), Antifungal resistance and susceptibility (4 papers), RNA modifications and cancer (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Protein Degradation and Inhibitors (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). The work is most often cited by research in Cancer Research (557 citations), Molecular Biology (932 citations), Immunology (235 citations), Oncology (208 citations) and Genetics (63 citations). Xiongjun Wang has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Wencheng Zhu, Weiwei Yang, Ji Liang, Yajuan Zhang, Hong Gao, Hua Yu, Ruilong Liu, Huiying Chu, Ping Wei and Bangbao Tao. Their work appears in journals such as Nature Communications, Molecular Cell, Cell Research, The EMBO Journal and Cell Discovery.
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.