Azadeh Madjidi
About
In The Last Decade
Azadeh Madjidi
5 papers receiving 305 citations
Peers
Comparison fields: 5 of 50
- Molecular Biology 184
- Endocrinology, Diabetes and Metabolism 160
- Surgery 151
- Cellular and Molecular Neuroscience 66
- Genetics 42
Countries citing papers authored by Azadeh Madjidi
This map shows the geographic impact of Azadeh Madjidi'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 Azadeh Madjidi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Azadeh Madjidi more than expected).
Fields of papers citing papers by Azadeh Madjidi
This network shows the impact of papers produced by Azadeh Madjidi. 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 Azadeh Madjidi. The network helps show where Azadeh Madjidi may publish in the future.
Co-authorship network of co-authors of Azadeh Madjidi
This figure shows the co-authorship network connecting the top 25 collaborators of Azadeh Madjidi. A scholar is included among the top collaborators of Azadeh Madjidi 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 Azadeh Madjidi. Azadeh Madjidi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 144 | |
| 2 | 33 | |
| 3 | 103 | |
| 4 | 30 | |
| 5 | 5 |
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.