Fatima Barmania
About
In The Last Decade
Fatima Barmania
5 papers receiving 291 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Infectious Diseases 192
- Immunology 74
- Molecular Biology 67
- Virology 36
- Oncology 34
Countries citing papers authored by Fatima Barmania
This map shows the geographic impact of Fatima Barmania'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 Fatima Barmania with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatima Barmania more than expected).
Fields of papers citing papers by Fatima Barmania
This network shows the impact of papers produced by Fatima Barmania. 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 Fatima Barmania. The network helps show where Fatima Barmania may publish in the future.
Co-authorship network of co-authors of Fatima Barmania
This figure shows the co-authorship network connecting the top 25 collaborators of Fatima Barmania. A scholar is included among the top collaborators of Fatima Barmania 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 Fatima Barmania. Fatima Barmania is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | SARS-CoV-2 Variants, Vaccines, and Host Immunity breakdown → | 197 |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 84 |
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.