Swapan Dasgupta
- Molecular Biology top 10%
- Epidemiology top 5%
- Organic Chemistry top 5%
- Hematology top 5%
- Physiology top 10%
- Co-authors
- Perumal ThiagarajanMin ChenJosef T. PrchalHéctor SandovalJin WangArmin SchumacherAnhquyen LeBimal Krishna Banik
- Topics
- Erythrocyte Function and Pathophysiology (10 papers)Platelet Disorders and Treatments (9 papers)Phagocytosis and Immune Regulation (9 papers)
- Cited by
- HematologyEpidemiologyPhysiology
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Swapan Dasgupta
60 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 1.0k
- Epidemiology 797
- Organic Chemistry 391
- Hematology 280
- Physiology 263
Countries citing papers authored by Swapan Dasgupta
This map shows the geographic impact of Swapan Dasgupta'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 Swapan Dasgupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swapan Dasgupta more than expected).
Fields of papers citing papers by Swapan Dasgupta
This network shows the impact of papers produced by Swapan Dasgupta. 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 Swapan Dasgupta. The network helps show where Swapan Dasgupta may publish in the future.
Co-authorship network of co-authors of Swapan Dasgupta
This figure shows the co-authorship network connecting the top 25 collaborators of Swapan Dasgupta. A scholar is included among the top collaborators of Swapan Dasgupta 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 Swapan Dasgupta. Swapan Dasgupta 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 | 0 | |
| 3 | 15 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 11 | |
| 8 | 18 | |
| 9 | 32 | |
| 10 | 57 | |
| 11 | Essential role for Nix in autophagic maturation of erythroid cellsbreakdown → | 952 |
| 12 | 29 | |
| 13 | 10 | |
| 14 | 57 | |
| 15 | 118 | |
| 16 | 14 | |
| 17 | Opportunities for Libraries in Managing and Resource Sharing Through Consortia: A New Challenge for Indian Librarians | 8 |
| 18 | The Ayodhya reference : the Supreme Court judgement and commentaries | 1 |
| 19 | Transversality conditions in optimum growth models with or without discounting: a unified view | 1 |
| 20 | On Price Characterization of Optimal Plans in a Multi-sector Economy | 2 |
About Swapan Dasgupta
Swapan Dasgupta is a scholar working on Hematology, Library and Information Sciences and Organic Chemistry, having authored 66 papers that have together received 2.2k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (10 papers), Platelet Disorders and Treatments (9 papers) and Phagocytosis and Immune Regulation (9 papers). The work is most often cited by research in Hematology (280 citations), Epidemiology (797 citations) and Physiology (91 citations). Swapan Dasgupta has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Perumal Thiagarajan, Min Chen, Josef T. Prchal, Héctor Sandoval, Jin Wang, Armin Schumacher, Anhquyen Le, Bimal Krishna Banik, Rolando E. Rumbaut and Tapan Mitra. Their work appears in journals such as Nature, Journal of the American Chemical Society and Circulation.
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.