Ge Guan
About
In The Last Decade
Ge Guan
22 papers receiving 469 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 148
- Biomedical Engineering 119
- Biomaterials 113
- Surgery 110
- Immunology 62
Countries citing papers authored by Ge Guan
This map shows the geographic impact of Ge 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 Ge Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Guan more than expected).
Fields of papers citing papers by Ge Guan
This network shows the impact of papers produced by Ge 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 Ge Guan. The network helps show where Ge Guan may publish in the future.
Co-authorship network of co-authors of Ge Guan
This figure shows the co-authorship network connecting the top 25 collaborators of Ge Guan. A scholar is included among the top collaborators of Ge 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 Ge Guan. Ge 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 | 0 | |
| 2 | 5 | |
| 3 | 65 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 19 | |
| 7 | 23 | |
| 8 | 20 | |
| 9 | 2 | |
| 10 | IFI30 Is a Novel Immune-Related Target with Predicting Value of Prognosis and Treatment Response in Glioblastoma | 2 |
| 11 | Secretory Pathway Kinase FAM20C, a Marker for Glioma Invasion and Malignancy, Predicts Poor Prognosis of Glioma | 1 |
| 12 | 12 | |
| 13 | 3 | |
| 14 | 9 | |
| 15 | 25 | |
| 16 | 24 | |
| 17 | 28 | |
| 18 | 64 | |
| 19 | 36 | |
| 20 | 34 |
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.