Xing Lv
About
In The Last Decade
Xing Lv
38 papers receiving 506 citations
Peers
Comparison fields: 5 of 72
- Plant Science 259
- Molecular Biology 201
- Cancer Research 93
- Immunology 66
- Biomedical Engineering 65
Countries citing papers authored by Xing Lv
This map shows the geographic impact of Xing Lv'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 Xing Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Lv more than expected).
Fields of papers citing papers by Xing Lv
This network shows the impact of papers produced by Xing Lv. 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 Xing Lv. The network helps show where Xing Lv may publish in the future.
Co-authorship network of co-authors of Xing Lv
This figure shows the co-authorship network connecting the top 25 collaborators of Xing Lv. A scholar is included among the top collaborators of Xing Lv 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 Xing Lv. Xing Lv 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 28 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 10 | |
| 14 | 19 | |
| 15 | 20 | |
| 16 | 10 | |
| 17 | 39 | |
| 18 | 31 | |
| 19 | 1 | |
| 20 | 42 |
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.