Jenny Xu
About
In The Last Decade
Jenny Xu
12 papers receiving 304 citations
Peers
Comparison fields: 5 of 85
- Industrial and Manufacturing Engineering 118
- Molecular Biology 85
- Cell Biology 64
- Genetics 50
- Management of Technology and Innovation 34
Countries citing papers authored by Jenny Xu
This map shows the geographic impact of Jenny Xu'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 Jenny Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenny Xu more than expected).
Fields of papers citing papers by Jenny Xu
This network shows the impact of papers produced by Jenny Xu. 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 Jenny Xu. The network helps show where Jenny Xu may publish in the future.
Co-authorship network of co-authors of Jenny Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Jenny Xu. A scholar is included among the top collaborators of Jenny Xu 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 Jenny Xu. Jenny Xu 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 | 1 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 149 | |
| 11 | 7 | |
| 12 | 29 | |
| 13 | 94 |
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.