Qirui Wang
Impact in
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Genomics and Phylogenetic Studies 8
- RNA modifications and cancer 5
- Circular RNAs in diseases 4
- Plant and Fungal Species Descriptions 4
-
- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 5
- Co-authors
- Zhixin Yin (7 shared papers)Zhenqiang He (3 shared papers)Rubin Cheng (10 shared papers)Xuegang Sun (7 shared papers)Yuqing Ge (9 shared papers)Gangli Zhu (1 shared paper)Yongyou Hu (1 shared paper)Peihong Ma (2 shared papers)
- Journals
- Phytomedicine (4 papers)Applied Catalysis B: Environmental (2 papers)BMC Genomics (2 papers)Medical Mycology (2 papers)Separation and Purification Technology (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Qirui Wang
82 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 137
- Molecular Medicine 68
- Cancer Research 189
- Immunology 234
- Genetics 109
- Molecular Biology 547
Countries citing papers authored by Qirui Wang
This map shows the geographic impact of Qirui 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 Qirui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qirui Wang more than expected).
Fields of papers citing papers by Qirui Wang
This network shows the impact of papers produced by Qirui 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 Qirui Wang. The network helps show where Qirui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qirui 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 198 | |
| 2 | 2019 | 119 | |
| 3 | 2013 | 60 | |
| 4 | 2020 | 60 | |
| 5 | 2023 | 57 | |
| 6 | 2021 | 56 | |
| 7 | 2009 | 41 | |
| 8 | 2022 | 37 | |
| 9 | 2010 | 36 | |
| 10 | 2017 | 35 | |
| 11 | 2021 | 31 | |
| 12 | 2023 | 30 | |
| 13 | 2019 | 29 | |
| 14 | 2022 | 27 | |
| 15 | 2017 | 22 | |
| 16 | 2013 | 22 | |
| 17 | 2018 | 22 | |
| 18 | 2018 | 19 | |
| 19 | 2019 | 18 | |
| 20 | 2017 | 17 |
About Qirui Wang
Qirui Wang is a scholar working on Molecular Biology, Cancer Research, Materials Chemistry, Oncology and Immunology, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), MicroRNA in disease regulation (7 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (4 papers), Catalysis and Oxidation Reactions (4 papers), Plant and Fungal Species Descriptions (4 papers) and Cancer Cells and Metastasis (4 papers). The work is most often cited by research in Molecular Medicine (68 citations), Cancer Research (189 citations), Immunology (234 citations), Genetics (109 citations) and Molecular Biology (547 citations). Qirui Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zhixin Yin, Zhenqiang He, Rubin Cheng, Xuegang Sun, Yuqing Ge, Gangli Zhu, Yongyou Hu, Peihong Ma, Yuheng Zou and Wanyu Wang. Their work appears in journals such as Phytomedicine, Applied Catalysis B: Environmental, BMC Genomics, Medical Mycology and Separation and Purification Technology.
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.