Guang-Zhong Wang
- Molecular Biology
- Cognitive Neuroscience top 10%
- Genetics
- Endocrine and Autonomic Systems
- Cellular and Molecular Neuroscience
- Co-authors
- Geneviève KonopkaLeslie ChenDaniel H. GeschwindTodd M. PreussFuying GaoMichael C. OldhamJeremy Davis‐TurakKellen D. Winden
- Topics
- Neural dynamics and brain function (3 papers)Machine Learning in Bioinformatics (3 papers)Neuroscience and Neuropharmacology Research (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Guang-Zhong Wang
8 papers receiving 348 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 190
- Cognitive Neuroscience 113
- Genetics 63
- Endocrine and Autonomic Systems 38
- Cellular and Molecular Neuroscience 37
Countries citing papers authored by Guang-Zhong Wang
This map shows the geographic impact of Guang-Zhong 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 Guang-Zhong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang-Zhong Wang more than expected).
Fields of papers citing papers by Guang-Zhong Wang
This network shows the impact of papers produced by Guang-Zhong 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 Guang-Zhong Wang. The network helps show where Guang-Zhong Wang may publish in the future.
Co-authorship network of co-authors of Guang-Zhong Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Guang-Zhong Wang. A scholar is included among the top collaborators of Guang-Zhong Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guang-Zhong Wang. Guang-Zhong Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 17 | |
| 4 | 1 | |
| 5 | 92 | |
| 6 | 45 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 182 |
About Guang-Zhong Wang
Guang-Zhong Wang is a scholar working on Cellular and Molecular Neuroscience, Electrochemistry and Cognitive Neuroscience, having authored 9 papers that have together received 352 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Machine Learning in Bioinformatics (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Aging (16 citations), Cognitive Neuroscience (113 citations) and Endocrine and Autonomic Systems (38 citations). Guang-Zhong Wang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Geneviève Konopka, Leslie Chen, Daniel H. Geschwind, Todd M. Preuss, Fuying Gao, Michael C. Oldham, Jeremy Davis‐Turak, Kellen D. Winden, Tara Friedrich and Rui Luo. Their work appears in journals such as Nature Communications, Neuron and Bioinformatics.
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.