Weiwei Liang
Impact in
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
Papers in
- Neurology 17
- Amyotrophic Lateral Sclerosis Research 15
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- Gut microbiota and health 9
- Histone Deacetylase Inhibitors Research 4
- RNA modifications and cancer 4
- Co-authors
- Fangfang Sun (11 shared papers)Peng Yuan ZHENG (9 shared papers)Jing Wu (9 shared papers)Bangmin Yin (9 shared papers)Yanbing Li (16 shared papers)Honglin Feng (16 shared papers)Yifan Li (7 shared papers)Hai Li (10 shared papers)
- Journals
- Frontiers in Endocrinology (5 papers)Advanced Science (3 papers)Molecular Psychiatry (2 papers)Advanced Functional Materials (2 papers)CNS Neuroscience & Therapeutics (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Weiwei Liang
108 papers receiving 3.2k citations
Weiwei Liang's Hit Papers
Peers
Comparison fields: 5 of 149
- Biological Psychiatry 448
- Behavioral Neuroscience 108
- Cancer Research 362
- Molecular Biology 1.5k
- Physiology 383
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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 313 | |
| 2 | 2018 | 195 | |
| 3 | 2020 | 165 | |
| 4 | 2020 | 142 | |
| 5 | 2022 | 126 | |
| 6 | 2017 | 111 | |
| 7 | 2018 | 80 | |
| 8 | 2019 | 70 | |
| 9 | 2014 | 69 | |
| 10 | 2014 | 68 | |
| 11 | 2019 | 66 | |
| 12 | 2017 | 63 | |
| 13 | 2020 | 62 | |
| 14 | 2013 | 61 | |
| 15 | 2019 | 61 | |
| 16 | 2020 | 51 | |
| 17 | 2019 | 51 | |
| 18 | 2019 | 51 | |
| 19 | 2020 | 49 | |
| 20 | 2017 | 49 |
About Weiwei Liang
Weiwei Liang is a scholar working on Neurology, Molecular Biology, Cancer Research, Biological Psychiatry and Microbiology, having authored 118 papers that have together received 3.3k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (15 papers), Gut microbiota and health (9 papers), Cancer-related molecular mechanisms research (7 papers), Tryptophan and brain disorders (6 papers), Diet and metabolism studies (6 papers), Immune Response and Inflammation (5 papers), Histone Deacetylase Inhibitors Research (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Biological Psychiatry (448 citations), Behavioral Neuroscience (108 citations), Cancer Research (362 citations), Molecular Biology (1.5k citations) and Physiology (383 citations). Weiwei Liang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Fangfang Sun, Peng Yuan ZHENG, Jing Wu, Bangmin Yin, Yanbing Li, Honglin Feng, Yifan Li, Hai Li, Hongyu Guan and Chun‐Ting Zhang. Their work appears in journals such as Frontiers in Endocrinology, Advanced Science, Molecular Psychiatry, Advanced Functional Materials and CNS Neuroscience & Therapeutics.
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.