Archana Brahmandam
About
In The Last Decade
Archana Brahmandam
6 papers receiving 282 citations
Peers
Comparison fields: 5 of 46
- Immunology 165
- Genetics 112
- Molecular Biology 52
- Hematology 52
- Surgery 45
Countries citing papers authored by Archana Brahmandam
This map shows the geographic impact of Archana Brahmandam'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 Archana Brahmandam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Archana Brahmandam more than expected).
Fields of papers citing papers by Archana Brahmandam
This network shows the impact of papers produced by Archana Brahmandam. 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 Archana Brahmandam. The network helps show where Archana Brahmandam may publish in the future.
Co-authorship network of co-authors of Archana Brahmandam
This figure shows the co-authorship network connecting the top 25 collaborators of Archana Brahmandam. A scholar is included among the top collaborators of Archana Brahmandam 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 Archana Brahmandam. Archana Brahmandam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 21 | |
| 3 | 57 | |
| 4 | 105 | |
| 5 | 41 | |
| 6 | 64 |
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.