Subhra K. Biswas
- Immunology top 0.05%
- Molecular Biology top 1%
- Oncology top 0.5%
- Cancer Research top 0.5%
- Epidemiology top 2%
- Co-authors
- Alberto MantovaniAntonio SicaEduardo López‐CollazoMassimo LocatiMaria Rosaria GaldieroIrina N. ShalovaClaire E. LewisPaola Allavena
- Topics
- Immune cells in cancer (35 papers)Immune Response and Inflammation (18 papers)Chemokine receptors and signaling (12 papers)
- Cited by
- ImmunologyCancer ResearchOncology
- Partner nations
- SingaporeItalyUnited States
In The Last Decade
Subhra K. Biswas
64 papers receiving 16.0k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Immunology 10.4k
- Molecular Biology 5.0k
- Oncology 4.0k
- Cancer Research 2.3k
- Epidemiology 1.5k
Countries citing papers authored by Subhra K. Biswas
This map shows the geographic impact of Subhra K. 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 Subhra K. Biswas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhra K. Biswas more than expected).
Fields of papers citing papers by Subhra K. Biswas
This network shows the impact of papers produced by Subhra K. 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 Subhra K. Biswas. The network helps show where Subhra K. Biswas may publish in the future.
Co-authorship network of co-authors of Subhra K. Biswas
This figure shows the co-authorship network connecting the top 25 collaborators of Subhra K. Biswas. A scholar is included among the top collaborators of Subhra K. 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 Subhra K. Biswas. Subhra K. 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 | 0 | |
| 2 | 42 | |
| 3 | 18 | |
| 4 | 33 | |
| 5 | 336 | |
| 6 | New insights into the multidimensional concept of macrophage ontogeny, activation and functionbreakdown → | 587 |
| 7 | 217 | |
| 8 | 23 | |
| 9 | 453 | |
| 10 | 329 | |
| 11 | 268 | |
| 12 | Macrophage plasticity and interaction with lymphocyte subsets: cancer as a paradigmbreakdown → | 3020 |
| 13 | 139 | |
| 14 | Endotoxin tolerance: new mechanisms, molecules and clinical significancebreakdown → | 1020 |
| 15 | 138 | |
| 16 | 91 | |
| 17 | 359 | |
| 18 | 45 | |
| 19 | 24 | |
| 20 | 55 |
About Subhra K. Biswas
Subhra K. Biswas is a scholar working on Immunology, Cancer Research and Oncology, having authored 65 papers that have together received 16.1k indexed citations. Recurring topics across this work include Immune cells in cancer (35 papers), Immune Response and Inflammation (18 papers) and Chemokine receptors and signaling (12 papers). The work is most often cited by research in Immunology (10.4k citations), Cancer Research (2.3k citations) and Oncology (4.0k citations). Subhra K. Biswas has collaborated with scholars based in Singapore, Italy and United States. Frequent co-authors include Alberto Mantovani, Antonio Sica, Eduardo López‐Collazo, Massimo Locati, Maria Rosaria Galdiero, Irina N. Shalova, Claire E. Lewis, Paola Allavena, Manesh Chittezhath and Chiara Porta. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.