Natalie Pica
About
In The Last Decade
Natalie Pica
21 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 114
- Epidemiology 2.0k
- Immunology 967
- Infectious Diseases 559
- Molecular Biology 482
- Agronomy and Crop Science 330
Countries citing papers authored by Natalie Pica
This map shows the geographic impact of Natalie Pica'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 Natalie Pica with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Pica more than expected).
Fields of papers citing papers by Natalie Pica
This network shows the impact of papers produced by Natalie Pica. 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 Natalie Pica. The network helps show where Natalie Pica may publish in the future.
Co-authorship network of co-authors of Natalie Pica
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Pica. A scholar is included among the top collaborators of Natalie Pica 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 Natalie Pica. Natalie Pica is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 120 | |
| 3 | 27 | |
| 4 | 339 | |
| 5 | 233 | |
| 6 | 56 | |
| 7 | 145 | |
| 8 | 226 | |
| 9 | 16 | |
| 10 | 67 | |
| 11 | 46 | |
| 12 | 214 | |
| 13 | 228 | |
| 14 | 104 | |
| 15 | 76 | |
| 16 | 245 | |
| 17 | 253 | |
| 18 | 65 | |
| 19 | 70 | |
| 20 | 40 |
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.