Ziyuan Guo
- Molecular Biology top 10%
- Cancer Research top 5%
- Cellular and Molecular Neuroscience top 5%
- Developmental Neuroscience top 1%
- Neurology top 5%
- Topics
- MicroRNA in disease regulation (8 papers)Cancer-related molecular mechanisms research (8 papers)Extracellular vesicles in disease (7 papers)
- Journals
- Journal of Clinical InvestigationNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesArgentina
In The Last Decade
Ziyuan Guo
53 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 1.1k
- Cancer Research 513
- Cellular and Molecular Neuroscience 446
- Developmental Neuroscience 383
- Neurology 273
Countries citing papers authored by Ziyuan Guo
This map shows the geographic impact of Ziyuan Guo'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 Ziyuan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziyuan Guo more than expected).
Fields of papers citing papers by Ziyuan Guo
This network shows the impact of papers produced by Ziyuan Guo. 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 Ziyuan Guo. The network helps show where Ziyuan Guo may publish in the future.
Co-authorship network of co-authors of Ziyuan Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Ziyuan Guo. A scholar is included among the top collaborators of Ziyuan Guo 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 Ziyuan Guo. Ziyuan Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | Recent developments in the application of membrane separation technology and its challenges in oil-water separation: A reviewbreakdown → | 221 |
| 9 | 50 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 27 | |
| 15 | 16 | |
| 16 | 36 | |
| 17 | 78 | |
| 18 | 26 | |
| 19 | In Vivo Direct Reprogramming of Reactive Glial Cells into Functional Neurons after Brain Injury and in an Alzheimer’s Disease Modelbreakdown → | 611 |
| 20 | A Multiwavelength Study Of The Orion-Eridanus Superbubble | 1 |
About Ziyuan Guo
Ziyuan Guo is a scholar working on Cancer Research, Biological Psychiatry and Developmental Neuroscience, having authored 58 papers that have together received 2.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (8 papers) and Extracellular vesicles in disease (7 papers). The work is most often cited by research in Developmental Neuroscience (383 citations), Cancer Research (513 citations) and Neurology (273 citations). Ziyuan Guo has collaborated with scholars based in China, United States and Argentina. Frequent co-authors include Gong Chen, Zheng Wu, Fan Wang, Yu‐Chen Chen, Lei Zhang, Chunli Song, Marla Gearing, Bo Qi, Bingfan Li and Zhuo Zhao. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.
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.