Zhan‐Yun Guo
- Molecular Biology
- Public Health, Environmental and Occupational Health top 5%
- Surgery
- Cell Biology top 10%
- Biochemistry top 5%
- Co-authors
- Xiao‐Xia ShaoYou-Min FengZeng‐Guang XuYali LiuXiao LuoShilong WangCheng‐Wu ChiCatherine C.Y. Chang
- Topics
- Pregnancy-related medical research (33 papers)Receptor Mechanisms and Signaling (11 papers)Protein Structure and Dynamics (8 papers)
- Cited by
- Endocrine and Autonomic SystemsBiochemistryPublic Health, Environmental and Occupational Health
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Zhan‐Yun Guo
100 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 671
- Public Health, Environmental and Occupational Health 353
- Surgery 211
- Cell Biology 153
- Biochemistry 128
Countries citing papers authored by Zhan‐Yun Guo
This map shows the geographic impact of Zhan‐Yun 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 Zhan‐Yun Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhan‐Yun Guo more than expected).
Fields of papers citing papers by Zhan‐Yun Guo
This network shows the impact of papers produced by Zhan‐Yun 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 Zhan‐Yun Guo. The network helps show where Zhan‐Yun Guo may publish in the future.
Co-authorship network of co-authors of Zhan‐Yun Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Zhan‐Yun Guo. A scholar is included among the top collaborators of Zhan‐Yun 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 Zhan‐Yun Guo. Zhan‐Yun 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 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 16 | |
| 8 | 9 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 18 | |
| 12 | 11 | |
| 13 | 19 | |
| 14 | 30 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | Road Black Spot Identification Method Based on Information Assignment | 0 |
| 18 | 7 | |
| 19 | 12 | |
| 20 | Expression and Purification of Human Cytochrome-P450 Enzymes From Escherichia-Coli | 1 |
About Zhan‐Yun Guo
Zhan‐Yun Guo is a scholar working on Endocrine and Autonomic Systems, Public Health, Environmental and Occupational Health and Biochemistry, having authored 105 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pregnancy-related medical research (33 papers), Receptor Mechanisms and Signaling (11 papers) and Protein Structure and Dynamics (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (120 citations), Biochemistry (128 citations) and Public Health, Environmental and Occupational Health (353 citations). Zhan‐Yun Guo has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xiao‐Xia Shao, You-Min Feng, Zeng‐Guang Xu, Yali Liu, Xiao Luo, Shilong Wang, Cheng‐Wu Chi, Catherine C.Y. Chang, Ta‐Yuan Chang and Weijie Zhang. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.
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.