Ju Wang
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Bioinformatics and Genomic Networks 16
- Nicotinic Acetylcholine Receptors Study 12
- Receptor Mechanisms and Signaling 9
- RNA modifications and cancer 6
- Co-authors
- Ming D. Li (13 shared papers)Ying Hu (6 shared papers)Jiadong Li (1 shared paper)Ye He (1 shared paper)Patrizia Casaccia‐Bonnefil (1 shared paper)Wenji Yuan (1 shared paper)Huifei Liu (1 shared paper)Jeffrey L. Dupree (1 shared paper)
- Journals
- Molecular Neurobiology (6 papers)Journal of Biomolecular Structure and Dynamics (5 papers)Cancer Research (4 papers)Frontiers in Psychiatry (4 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ju Wang
144 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 159
- Biological Psychiatry 135
- Developmental Neuroscience 192
- Neurology 174
- Molecular Biology 1.1k
- Behavioral Neuroscience 50
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 154 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 211 | |
| 2 | 2017 | 82 | |
| 3 | 2018 | 77 | |
| 4 | 2012 | 75 | |
| 5 | 2011 | 70 | |
| 6 | 2017 | 65 | |
| 7 | 2022 | 59 | |
| 8 | 2009 | 58 | |
| 9 | 2001 | 47 | |
| 10 | 2009 | 45 | |
| 11 | 2020 | 42 | |
| 12 | 2004 | 41 | |
| 13 | 2022 | 40 | |
| 14 | 2022 | 40 | |
| 15 | 2016 | 37 | |
| 16 | 2016 | 36 | |
| 17 | 2019 | 34 | |
| 18 | 2011 | 33 | |
| 19 | 2020 | 33 | |
| 20 | 2022 | 31 |
About Ju Wang
Ju Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics, having authored 154 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (16 papers), Nicotinic Acetylcholine Receptors Study (12 papers), Receptor Mechanisms and Signaling (9 papers), Alzheimer's disease research and treatments (8 papers), Tryptophan and brain disorders (7 papers), Air Quality and Health Impacts (7 papers), Computational Drug Discovery Methods (7 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Biological Psychiatry (135 citations), Developmental Neuroscience (192 citations), Neurology (174 citations), Molecular Biology (1.1k citations) and Behavioral Neuroscience (50 citations). Ju Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ming D. Li, Ying Hu, Jiadong Li, Ye He, Patrizia Casaccia‐Bonnefil, Wenji Yuan, Huifei Liu, Jeffrey L. Dupree, Klaus Armin Nave and Juan Sandoval. Their work appears in journals such as Molecular Neurobiology, Journal of Biomolecular Structure and Dynamics, Cancer Research, Frontiers in Psychiatry and Scientific Reports.
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.