Ju Wang
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Nicotinic Acetylcholine Receptors Study 11
- Bioinformatics and Genomic Networks 10
- Receptor Mechanisms and Signaling 9
- Co-authors
- Ming ding Li (13 shared papers)Ying Chuan Hu (6 shared papers)Suqin Tang (3 shared papers)Yuncheng Jiang (4 shared papers)Wenji Yuan (1 shared paper)Patrizia Casaccia‐Bonnefil (1 shared paper)Juan Pablo Sandoval (1 shared paper)Klaus Armin Nave (1 shared paper)
- Journals
- Molecular Neurobiology (6 papers)Journal of Biomolecular Structure and Dynamics (5 papers)Frontiers in Psychiatry (4 papers)Scientific Reports (3 papers)Aging (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ju Wang
148 papers receiving 2.7k citations
Ju Wang's Hit Papers
Peers
Comparison fields: 5 of 169
- Biological Psychiatry 114
- Developmental Neuroscience 187
- Neurology 167
- Molecular Biology 1.2k
- Computational Theory and Mathematics 277
Countries citing papers authored by Ju Wang
This map shows the geographic impact of Ju 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 Ju Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju Wang more than expected).
Fields of papers citing papers by Ju Wang
This network shows the impact of papers produced by Ju 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 Ju Wang. The network helps show where Ju Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ju 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 157 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor Hit paper breakdown → | 2023 | 250 |
| 2 | 2007 | 220 | |
| 3 | 2017 | 86 | |
| 4 | 2018 | 82 | |
| 5 | 2012 | 78 | |
| 6 | 2011 | 76 | |
| 7 | 2022 | 74 | |
| 8 | 2017 | 66 | |
| 9 | 2009 | 66 | |
| 10 | 2022 | 60 | |
| 11 | 2009 | 53 | |
| 12 | 2001 | 47 | |
| 13 | 2020 | 44 | |
| 14 | 2022 | 42 | |
| 15 | 2004 | 42 | |
| 16 | 2022 | 41 | |
| 17 | 2019 | 40 | |
| 18 | 2008 | 39 | |
| 19 | 2016 | 38 | |
| 20 | 2016 | 37 |
About Ju Wang
Ju Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Health, Toxicology and Mutagenesis, Environmental Engineering and Computational Theory and Mathematics, having authored 157 papers that have together received 2.8k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (11 papers), Bioinformatics and Genomic Networks (10 papers), Air Quality and Health Impacts (9 papers), Receptor Mechanisms and Signaling (9 papers), Atmospheric chemistry and aerosols (8 papers), Rough Sets and Fuzzy Logic (6 papers), Tryptophan and brain disorders (6 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Biological Psychiatry (114 citations), Developmental Neuroscience (187 citations), Neurology (167 citations), Molecular Biology (1.2k citations) and Computational Theory and Mathematics (277 citations). Ju Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ming ding Li, Ying Chuan Hu, Suqin Tang, Yuncheng Jiang, Wenji Yuan, Patrizia Casaccia‐Bonnefil, Juan Pablo Sandoval, Klaus Armin Nave, Jeffrey L. Dupree and Ye He. Their work appears in journals such as Molecular Neurobiology, Journal of Biomolecular Structure and Dynamics, Frontiers in Psychiatry, Scientific Reports and Aging.
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.