Guang‐Zhong Wang
Impact in
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- Cancer-related molecular mechanisms research
Papers in
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- Single-cell and spatial transcriptomics 12
- RNA Research and Splicing 7
- Gene Regulatory Network Analysis 5
- Gene expression and cancer classification 5
- Genomics and Phylogenetic Studies 4
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- Circadian rhythm and melatonin 7
- Co-authors
- Martin J. Lercher (5 shared papers)Lizhong Xiao (5 shared papers)Hongyu Zhang (5 shared papers)Yang Zuo (1 shared paper)Laurence D. Hurst (2 shared papers)Ling‐Ling Chen (1 shared paper)Zhi Cao (1 shared paper)Zhijun Zhang (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (4 papers)Nature Communications (2 papers)Communications Biology (2 papers)BMC Evolutionary Biology (2 papers)Genome Biology and Evolution (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Guang‐Zhong Wang
51 papers receiving 670 citations
Peers
Comparison fields: 5 of 135
- Aging 12
- Cancer Research 80
- Endocrine and Autonomic Systems 35
- Molecular Biology 318
- Pharmacology 25
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-authors
The 25 scholars most cited alongside Guang‐Zhong 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 54 | |
| 2 | 2018 | 48 | |
| 3 | 2011 | 46 | |
| 4 | 2020 | 44 | |
| 5 | 2007 | 42 | |
| 6 | 2021 | 41 | |
| 7 | 2019 | 35 | |
| 8 | 2022 | 27 | |
| 9 | 2020 | 25 | |
| 10 | 2011 | 24 | |
| 11 | 2013 | 21 | |
| 12 | 2010 | 20 | |
| 13 | 2018 | 19 | |
| 14 | 2020 | 19 | |
| 15 | 2015 | 16 | |
| 16 | 2019 | 15 | |
| 17 | 2010 | 15 | |
| 18 | 2023 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2023 | 11 |
About Guang‐Zhong Wang
Guang‐Zhong Wang is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Genetics, Aging and Mechanical Engineering, having authored 57 papers that have together received 682 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (12 papers), RNA Research and Splicing (7 papers), Circadian rhythm and melatonin (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Gene Regulatory Network Analysis (5 papers), Gene expression and cancer classification (5 papers), Genomics and Phylogenetic Studies (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Aging (12 citations), Cancer Research (80 citations), Endocrine and Autonomic Systems (35 citations), Molecular Biology (318 citations) and Pharmacology (25 citations). Guang‐Zhong Wang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Martin J. Lercher, Lizhong Xiao, Hongyu Zhang, Yang Zuo, Laurence D. Hurst, Ling‐Ling Chen, Zhi Cao, Zhijun Zhang, Yanju Liu and Wei Wang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Nature Communications, Communications Biology, BMC Evolutionary Biology and Genome Biology and Evolution.
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.