Suhong Luo
About
In The Last Decade
Suhong Luo
59 papers receiving 892 citations
Peers
Comparison fields: 5 of 70
- Hematology 382
- Oncology 300
- Internal Medicine 214
- Molecular Biology 156
- Genetics 155
Countries citing papers authored by Suhong Luo
This map shows the geographic impact of Suhong Luo'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 Suhong Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suhong Luo more than expected).
Fields of papers citing papers by Suhong Luo
This network shows the impact of papers produced by Suhong Luo. 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 Suhong Luo. The network helps show where Suhong Luo may publish in the future.
Co-authorship network of co-authors of Suhong Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Suhong Luo. A scholar is included among the top collaborators of Suhong Luo 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 Suhong Luo. Suhong Luo 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 | 2 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 22 | |
| 10 | 24 | |
| 11 | 2 | |
| 12 | 28 | |
| 13 | 4 | |
| 14 | 14 | |
| 15 | 7 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 0 | |
| 19 | 13 | |
| 20 | 39 |
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.