Sulagna Basu
- Molecular Medicine top 0.5%
- Endocrinology top 1%
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Molecular Biology
- Co-authors
- Subhasree RoyShanta DuttaRajlakshmi ViswanathanArun SinghSomdatta ChatterjeeSaswati DattaSuchandra MukherjeeAyan Mondal
- Topics
- Antibiotic Resistance in Bacteria (41 papers)Antibiotics Pharmacokinetics and Efficacy (17 papers)Vibrio bacteria research studies (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEApplied Microbiology and Biotechnology
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Sulagna Basu
53 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Molecular Medicine 798
- Endocrinology 412
- Epidemiology 347
- Public Health, Environmental and Occupational Health 318
- Molecular Biology 278
Countries citing papers authored by Sulagna Basu
This map shows the geographic impact of Sulagna Basu'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 Sulagna Basu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sulagna Basu more than expected).
Fields of papers citing papers by Sulagna Basu
This network shows the impact of papers produced by Sulagna Basu. 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 Sulagna Basu. The network helps show where Sulagna Basu may publish in the future.
Co-authorship network of co-authors of Sulagna Basu
This figure shows the co-authorship network connecting the top 25 collaborators of Sulagna Basu. A scholar is included among the top collaborators of Sulagna Basu 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 Sulagna Basu. Sulagna Basu 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 | 0 | |
| 4 | 26 | |
| 5 | 48 | |
| 6 | 23 | |
| 7 | 8 | |
| 8 | 29 | |
| 9 | 13 | |
| 10 | 27 | |
| 11 | Neonatal septicaemia caused by diverse clones of Klebsiella pneumoniae & Escherichia coli harbouring blaCTX-M-15. | 23 |
| 12 | 25 | |
| 13 | 54 | |
| 14 | 2 | |
| 15 | 47 | |
| 16 | 4 | |
| 17 | 17 | |
| 18 | 26 | |
| 19 | 11 | |
| 20 | 3 |
About Sulagna Basu
Sulagna Basu is a scholar working on Molecular Medicine, Endocrinology and Applied Microbiology and Biotechnology, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (41 papers), Antibiotics Pharmacokinetics and Efficacy (17 papers) and Vibrio bacteria research studies (14 papers). The work is most often cited by research in Molecular Medicine (798 citations), Endocrinology (412 citations) and Applied Microbiology and Biotechnology (120 citations). Sulagna Basu has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Subhasree Roy, Shanta Dutta, Rajlakshmi Viswanathan, Arun Singh, Somdatta Chatterjee, Saswati Datta, Suchandra Mukherjee, Ayan Mondal, Subhankar Mukherjee and Sharmi Naha. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied Microbiology and Biotechnology.
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.