Subhabrata Sengupta
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Plant Science
- Surgery
- Biotechnology top 10%
- Co-authors
- A.K. MukherjeeRanabir PalSuman KhowalaSrabanti BasuAnil K. GhoshSantosh KesariNirmalendu DasSanjoy Mondal
- Topics
- Enzyme Production and Characterization (6 papers)Biofuel production and bioconversion (5 papers)Fungal and yeast genetics research (5 papers)
- Journals
- Applied Microbiology and BiotechnologyBiochimica et Biophysica Acta (BBA) - General SubjectsCarbohydrate Research
- Partner nations
- IndiaUnited States
In The Last Decade
Subhabrata Sengupta
34 papers receiving 394 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 106
- Endocrinology, Diabetes and Metabolism 88
- Plant Science 81
- Surgery 79
- Biotechnology 58
Countries citing papers authored by Subhabrata Sengupta
This map shows the geographic impact of Subhabrata Sengupta'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 Subhabrata Sengupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhabrata Sengupta more than expected).
Fields of papers citing papers by Subhabrata Sengupta
This network shows the impact of papers produced by Subhabrata Sengupta. 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 Subhabrata Sengupta. The network helps show where Subhabrata Sengupta may publish in the future.
Co-authorship network of co-authors of Subhabrata Sengupta
This figure shows the co-authorship network connecting the top 25 collaborators of Subhabrata Sengupta. A scholar is included among the top collaborators of Subhabrata Sengupta 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 Subhabrata Sengupta. Subhabrata Sengupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 9 | |
| 3 | Indian medicinal plants known to contain intestinal glucosidase inhibitors also inhibit pancreatic lipase activity—An ideal situation for obesity control by herbal drugs | 6 |
| 4 | 2 | |
| 5 | 22 | |
| 6 | 4 | |
| 7 | 29 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 26 | |
| 11 | 17 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 42 | |
| 15 | 1 | |
| 16 | Regulation of trehalose metabolism by Adox and AdoMet in Saccharomyces cerevisiae. | 4 |
| 17 | 6 | |
| 18 | 18 | |
| 19 | 1 | |
| 20 | Application of the Fuzzy Theory to Simulation of Batch Fermentation | 24 |
About Subhabrata Sengupta
Subhabrata Sengupta is a scholar working on Otorhinolaryngology, Biotechnology and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 454 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (6 papers), Biofuel production and bioconversion (5 papers) and Fungal and yeast genetics research (5 papers). The work is most often cited by research in Otorhinolaryngology (36 citations), Biochemistry (48 citations) and Management of Technology and Innovation (48 citations). Subhabrata Sengupta has collaborated with scholars based in India and United States. Frequent co-authors include A.K. Mukherjee, Ranabir Pal, Suman Khowala, Srabanti Basu, Anil K. Ghosh, Santosh Kesari, Nirmalendu Das, Sanjoy Mondal, Toshiomi Yoshida and Dimitar Filev. Their work appears in journals such as Applied Microbiology and Biotechnology, Biochimica et Biophysica Acta (BBA) - General Subjects and Carbohydrate Research.
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.