Huawei Wang
Impact in
- Biological Psychiatry top 10%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Mitochondrial Function and Pathology 6
- Bacterial biofilms and quorum sensing 5
- Gut microbiota and health 4
- RNA modifications and cancer 4
- RNA and protein synthesis mechanisms 4
-
- Antimicrobial Resistance in Staphylococcus 4
- Co-authors
- Ya‐Ping Zhang (7 shared papers)Qing‐Peng Kong (5 shared papers)Yong‐Gang Yao (3 shared papers)Huhu Wang (6 shared papers)Xinglian Xu (2 shared papers)Kunhua Wang (9 shared papers)Xiaofeng Wang (2 shared papers)Runping Fang (3 shared papers)
- Journals
- Cancer Research (4 papers)LWT (3 papers)Medicine (3 papers)Cancer Letters (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Huawei Wang
89 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 146
- Biological Psychiatry 34
- Cancer Research 161
- Molecular Biology 743
- Endocrinology, Diabetes and Metabolism 119
- Genetics 205
Countries citing papers authored by Huawei Wang
This map shows the geographic impact of Huawei 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 Huawei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huawei Wang more than expected).
Fields of papers citing papers by Huawei Wang
This network shows the impact of papers produced by Huawei 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 Huawei Wang. The network helps show where Huawei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Huawei 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 181 | |
| 2 | 2020 | 96 | |
| 3 | 2019 | 95 | |
| 4 | 2017 | 87 | |
| 5 | 2017 | 70 | |
| 6 | 2018 | 65 | |
| 7 | 2015 | 65 | |
| 8 | 2023 | 64 | |
| 9 | 2014 | 54 | |
| 10 | 2021 | 54 | |
| 11 | 2008 | 50 | |
| 12 | 2016 | 47 | |
| 13 | 2007 | 45 | |
| 14 | 2019 | 41 | |
| 15 | 2019 | 39 | |
| 16 | 2016 | 38 | |
| 17 | 2020 | 30 | |
| 18 | 2020 | 29 | |
| 19 | 2017 | 28 | |
| 20 | 2018 | 24 |
About Huawei Wang
Huawei Wang is a scholar working on Molecular Biology, Infectious Diseases, Cell Biology, Cancer Research and Surgery, having authored 97 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Bacterial biofilms and quorum sensing (5 papers), Gut microbiota and health (4 papers), Autophagy in Disease and Therapy (4 papers), Cell Adhesion Molecules Research (4 papers), RNA modifications and cancer (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Biological Psychiatry (34 citations), Cancer Research (161 citations), Molecular Biology (743 citations), Endocrinology, Diabetes and Metabolism (119 citations) and Genetics (205 citations). Huawei Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ya‐Ping Zhang, Qing‐Peng Kong, Yong‐Gang Yao, Huhu Wang, Xinglian Xu, Kunhua Wang, Xiaofeng Wang, Runping Fang, Yu Xu and Lihong Ye. Their work appears in journals such as Cancer Research, LWT, Medicine, Cancer Letters and Nucleic Acids Research.
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.