Peiwei Huangyang
About
In The Last Decade
Peiwei Huangyang
10 papers receiving 664 citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 496
- Cancer Research 280
- Oncology 124
- Immunology 65
- Epidemiology 61
Countries citing papers authored by Peiwei Huangyang
This map shows the geographic impact of Peiwei Huangyang'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 Peiwei Huangyang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiwei Huangyang more than expected).
Fields of papers citing papers by Peiwei Huangyang
This network shows the impact of papers produced by Peiwei Huangyang. 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 Peiwei Huangyang. The network helps show where Peiwei Huangyang may publish in the future.
Co-authorship network of co-authors of Peiwei Huangyang
This figure shows the co-authorship network connecting the top 25 collaborators of Peiwei Huangyang. A scholar is included among the top collaborators of Peiwei Huangyang 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 Peiwei Huangyang. Peiwei Huangyang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 111 | |
| 2 | 151 | |
| 3 | 76 | |
| 4 | 73 | |
| 5 | 46 | |
| 6 | 20 | |
| 7 | 110 | |
| 8 | 14 | |
| 9 | 42 | |
| 10 | 25 |
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.