Parisa Asvadi
About
In The Last Decade
Parisa Asvadi
8 papers receiving 303 citations
Peers
Comparison fields: 5 of 44
- Molecular Biology 260
- Genetics 117
- Radiology, Nuclear Medicine and Imaging 94
- Hematology 45
- Oncology 34
Countries citing papers authored by Parisa Asvadi
This map shows the geographic impact of Parisa Asvadi'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 Parisa Asvadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parisa Asvadi more than expected).
Fields of papers citing papers by Parisa Asvadi
This network shows the impact of papers produced by Parisa Asvadi. 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 Parisa Asvadi. The network helps show where Parisa Asvadi may publish in the future.
Co-authorship network of co-authors of Parisa Asvadi
This figure shows the co-authorship network connecting the top 25 collaborators of Parisa Asvadi. A scholar is included among the top collaborators of Parisa Asvadi 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 Parisa Asvadi. Parisa Asvadi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 6 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 247 | |
| 6 | 1 | |
| 7 | 34 | |
| 8 | 4 |
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.