Erica Pan
About
In The Last Decade
Erica Pan
10 papers receiving 328 citations
Peers
Comparison fields: 5 of 56
- Infectious Diseases 283
- Clinical Biochemistry 158
- Molecular Biology 109
- Public Health, Environmental and Occupational Health 109
- Epidemiology 72
Countries citing papers authored by Erica Pan
This map shows the geographic impact of Erica Pan'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 Erica Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erica Pan more than expected).
Fields of papers citing papers by Erica Pan
This network shows the impact of papers produced by Erica Pan. 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 Erica Pan. The network helps show where Erica Pan may publish in the future.
Co-authorship network of co-authors of Erica Pan
This figure shows the co-authorship network connecting the top 25 collaborators of Erica Pan. A scholar is included among the top collaborators of Erica Pan 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 Erica Pan. Erica Pan 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 | 7 | |
| 4 | 3 | |
| 5 | 12 | |
| 6 | 18 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 121 | |
| 10 | 153 | |
| 11 | 7 |
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.