Weixia Wang
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Hepatology top 5%
- Hepatitis C virus research
Papers in
-
- Insect Resistance and Genetics 16
- RNA modifications and cancer 5
- Co-authors
- Feng-Xiang Lai (26 shared papers)Qiang Fu (22 shared papers)Zhenghong Yuan (4 shared papers)Guosheng Shao (3 shared papers)Guoping Zhang (2 shared papers)Mingxue Chen (2 shared papers)Pin‐Jun Wan (21 shared papers)Renxiang Mou (1 shared paper)
- Journals
- Scientific Reports (5 papers)Rice Science (4 papers)PLoS ONE (4 papers)International Journal of Molecular Sciences (3 papers)Microbial Pathogenesis (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Weixia Wang
130 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 130
- Molecular Medicine 107
- Hepatology 126
- Plant Science 544
- Endocrinology 62
- Insect Science 142
Countries citing papers authored by Weixia Wang
This map shows the geographic impact of Weixia 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 Weixia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weixia Wang more than expected).
Fields of papers citing papers by Weixia Wang
This network shows the impact of papers produced by Weixia 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 Weixia Wang. The network helps show where Weixia Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weixia 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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 171 | |
| 2 | 2007 | 104 | |
| 3 | 2014 | 79 | |
| 4 | 2011 | 74 | |
| 5 | 2016 | 71 | |
| 6 | 2021 | 64 | |
| 7 | 2017 | 58 | |
| 8 | 2023 | 57 | |
| 9 | 2017 | 47 | |
| 10 | 2019 | 41 | |
| 11 | 2013 | 39 | |
| 12 | 2015 | 37 | |
| 13 | 2016 | 32 | |
| 14 | 2010 | 31 | |
| 15 | 2017 | 31 | |
| 16 | 2018 | 27 | |
| 17 | 2014 | 26 | |
| 18 | 2018 | 26 | |
| 19 | 2020 | 24 | |
| 20 | 2002 | 24 |
About Weixia Wang
Weixia Wang is a scholar working on Molecular Biology, Plant Science, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 135 papers that have together received 1.8k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (16 papers), Lung Cancer Treatments and Mutations (11 papers), Insect-Plant Interactions and Control (9 papers), Lung Cancer Diagnosis and Treatment (7 papers), MicroRNA in disease regulation (6 papers), Animal Virus Infections Studies (5 papers), Neurobiology and Insect Physiology Research (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Molecular Medicine (107 citations), Hepatology (126 citations), Plant Science (544 citations), Endocrinology (62 citations) and Insect Science (142 citations). Weixia Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Feng-Xiang Lai, Qiang Fu, Zhenghong Yuan, Guosheng Shao, Guoping Zhang, Mingxue Chen, Pin‐Jun Wan, Renxiang Mou, Pengju Zhang and Xin‐Tao Li. Their work appears in journals such as Scientific Reports, Rice Science, PLoS ONE, International Journal of Molecular Sciences and Microbial Pathogenesis.
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.