Zhandong Liu
- Molecular Biology top 2%
- Genetics top 5%
- Physiology top 5%
- Cancer Research top 5%
- Neurology top 1%
- Co-authors
- Ying‐Wooi WanGenevera I. AllenHuda Y. ZoghbiYing-Wooi WanKaifang PangAllysa ColeHui ZhengHari Krishna Yalamanchili
- Topics
- RNA Research and Splicing (20 papers)Gene expression and cancer classification (19 papers)Genetics and Neurodevelopmental Disorders (18 papers)
- Cited by
- NeurologyBiological PsychiatryAging
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Zhandong Liu
117 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Molecular Biology 2.6k
- Genetics 702
- Physiology 669
- Cancer Research 641
- Neurology 639
Countries citing papers authored by Zhandong Liu
This map shows the geographic impact of Zhandong Liu'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 Zhandong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhandong Liu more than expected).
Fields of papers citing papers by Zhandong Liu
This network shows the impact of papers produced by Zhandong Liu. 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 Zhandong Liu. The network helps show where Zhandong Liu may publish in the future.
Co-authorship network of co-authors of Zhandong Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhandong Liu. A scholar is included among the top collaborators of Zhandong Liu 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 Zhandong Liu. Zhandong Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 19 | |
| 6 | 8 | |
| 7 | 7 | |
| 8 | 12 | |
| 9 | 13 | |
| 10 | 14 | |
| 11 | 8 | |
| 12 | 19 | |
| 13 | 344 | |
| 14 | Mixed graphical models via exponential families | 37 |
| 15 | 52 | |
| 16 | 86 | |
| 17 | On Poisson Graphical Models | 26 |
| 18 | Conditional Random Fields via Univariate Exponential Families | 4 |
| 19 | Role of Ubiquitin-proteasome proteolytic pathway in malignant pleural mesothelioma. | 1 |
| 20 | PICOT gene expression levels can predict survival and recurrence among malignant pleural mesothelioma patients | 1 |
About Zhandong Liu
Zhandong Liu is a scholar working on Molecular Biology, Developmental Neuroscience and Aging, having authored 121 papers that have together received 4.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (20 papers), Gene expression and cancer classification (19 papers) and Genetics and Neurodevelopmental Disorders (18 papers). The work is most often cited by research in Neurology (639 citations), Biological Psychiatry (154 citations) and Aging (82 citations). Zhandong Liu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Ying‐Wooi Wan, Genevera I. Allen, Huda Y. Zoghbi, Ying-Wooi Wan, Kaifang Pang, Allysa Cole, Hui Zheng, Hari Krishna Yalamanchili, Haijing Jin and Hyun-Hwan Jeong. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.