Margaret Biswas
About
In The Last Decade
Margaret Biswas
14 papers receiving 226 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 185
- Organic Chemistry 66
- Plant Science 36
- Immunology 20
- Nutrition and Dietetics 20
Countries citing papers authored by Margaret Biswas
This map shows the geographic impact of Margaret Biswas'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 Margaret Biswas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret Biswas more than expected).
Fields of papers citing papers by Margaret Biswas
This network shows the impact of papers produced by Margaret Biswas. 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 Margaret Biswas. The network helps show where Margaret Biswas may publish in the future.
Co-authorship network of co-authors of Margaret Biswas
This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Biswas. A scholar is included among the top collaborators of Margaret Biswas 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 Margaret Biswas. Margaret Biswas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 15 | |
| 3 | 45 | |
| 4 | 1 | |
| 5 | 33 | |
| 6 | Proteome Analysis: Application of InterPro and CluSTr for the Functional Classification of Proteins in Whole Genomes. | 1 |
| 7 | 18 | |
| 8 | 10 | |
| 9 | 15 | |
| 10 | 16 | |
| 11 | 16 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 17 |
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.