Haipeng Guan
About
In The Last Decade
Haipeng Guan
7 papers receiving 456 citations
Peers
Comparison fields: 5 of 51
- Molecular Biology 424
- Oncology 51
- Cancer Research 33
- Geriatrics and Gerontology 23
- Plant Science 23
Countries citing papers authored by Haipeng Guan
This map shows the geographic impact of Haipeng Guan'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 Haipeng Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haipeng Guan more than expected).
Fields of papers citing papers by Haipeng Guan
This network shows the impact of papers produced by Haipeng Guan. 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 Haipeng Guan. The network helps show where Haipeng Guan may publish in the future.
Co-authorship network of co-authors of Haipeng Guan
This figure shows the co-authorship network connecting the top 25 collaborators of Haipeng Guan. A scholar is included among the top collaborators of Haipeng Guan 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 Haipeng Guan. Haipeng Guan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | 16 | |
| 5 | 47 | |
| 6 | 103 | |
| 7 | 275 |
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.