Weiwei Liang
Impact in
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 8
- Gut microbiota and health 6
- S100 Proteins and Annexins 5
- Neurology 17
- Amyotrophic Lateral Sclerosis Research 14
- Co-authors
- Fangfang Sun (11 shared papers)Bangmin Yin (8 shared papers)Jing Wu (8 shared papers)Peng Zheng (8 shared papers)Yanbing Li (17 shared papers)Honglin Feng (14 shared papers)Hai Li (10 shared papers)Hongyu Guan (12 shared papers)
- Journals
- Frontiers in Endocrinology (5 papers)Endocrine Connections (2 papers)Frontiers in Plant Science (2 papers)CNS Neuroscience & Therapeutics (2 papers)Advanced Functional Materials (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Weiwei Liang
98 papers receiving 2.4k citations
Weiwei Liang's Hit Papers
Peers
Comparison fields: 5 of 147
- Biological Psychiatry 273
- Cancer Research 405
- Behavioral Neuroscience 74
- Molecular Biology 1.1k
- Neurology 171
Countries citing papers authored by Weiwei Liang
This map shows the geographic impact of Weiwei Liang'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 Weiwei Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Liang more than expected).
Fields of papers citing papers by Weiwei Liang
This network shows the impact of papers produced by Weiwei Liang. 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 Weiwei Liang. The network helps show where Weiwei Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei Liang, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 165 | |
| 2 | 2020 | 150 | |
| 3 | 2022 | 109 | |
| 4 | 2017 | 100 | |
| 5 | 2018 | 73 | |
| 6 | 2014 | 69 | |
| 7 | 2014 | 65 | |
| 8 | 2019 | 61 | |
| 9 | 2017 | 58 | |
| 10 | 2019 | 58 | |
| 11 | 2013 | 58 | |
| 12 | 2020 | 56 | |
| 13 | 2017 | 48 | |
| 14 | 2019 | 48 | |
| 15 | 2019 | 48 | |
| 16 | 2015 | 47 | |
| 17 | 2017 | 43 | |
| 18 | 2019 | 41 | |
| 19 | 2020 | 40 | |
| 20 | 2015 | 39 |
About Weiwei Liang
Weiwei Liang is a scholar working on Molecular Biology, Neurology, Cancer Research, Endocrinology, Diabetes and Metabolism and Physiology, having authored 108 papers that have together received 2.4k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (14 papers), RNA modifications and cancer (8 papers), Thyroid Cancer Diagnosis and Treatment (8 papers), Cancer-related molecular mechanisms research (8 papers), Tryptophan and brain disorders (6 papers), Diet and metabolism studies (6 papers), Gut microbiota and health (6 papers) and S100 Proteins and Annexins (5 papers). The work is most often cited by research in Biological Psychiatry (273 citations), Cancer Research (405 citations), Behavioral Neuroscience (74 citations), Molecular Biology (1.1k citations) and Neurology (171 citations). Weiwei Liang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Fangfang Sun, Bangmin Yin, Jing Wu, Peng Zheng, Yanbing Li, Honglin Feng, Hai Li, Hongyu Guan, Haipeng Xiao and Ying Wang. Their work appears in journals such as Frontiers in Endocrinology, Endocrine Connections, Frontiers in Plant Science, CNS Neuroscience & Therapeutics and Advanced Functional Materials.
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.