Urmimala Chatterjee
Impact in
- Biomaterials top 10%
- Silk-based biomaterials and applications
- Supramolecular Self-Assembly in Materials
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
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- Glycosylation and Glycoproteins Research 5
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- Silk-based biomaterials and applications 4
- Electrospun Nanofibers in Biomedical Applications 2
- Co-authors
- Jan Johansson (8 shared papers)Partha Pratim Bose (7 shared papers)Bishnu P. Chatterjee (8 shared papers)Per I. Arvidsson (3 shared papers)Charlotte Nerelius (2 shared papers)Emmanuelle Göthelid (2 shared papers)Roger Strömberg (2 shared papers)David A. Lomas (1 shared paper)
In The Last Decade
Urmimala Chatterjee
18 papers receiving 472 citations
Peers
Comparison fields: 5 of 77
- Biomaterials 121
- Physiology 190
- Immunology and Allergy 44
- Computational Theory and Mathematics 77
- Pharmacology 60
Countries citing papers authored by Urmimala Chatterjee
This map shows the geographic impact of Urmimala Chatterjee'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 Urmimala Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urmimala Chatterjee more than expected).
Fields of papers citing papers by Urmimala Chatterjee
This network shows the impact of papers produced by Urmimala Chatterjee. 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 Urmimala Chatterjee. The network helps show where Urmimala Chatterjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Urmimala Chatterjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 121 | |
| 2 | 2009 | 56 | |
| 3 | 2010 | 47 | |
| 4 | 2006 | 37 | |
| 5 | 2010 | 36 | |
| 6 | 2023 | 35 | |
| 7 | 2022 | 28 | |
| 8 | 2010 | 25 | |
| 9 | 2024 | 17 | |
| 10 | 2009 | 15 | |
| 11 | 2021 | 11 | |
| 12 | 2008 | 10 | |
| 13 | 2006 | 10 | |
| 14 | 2014 | 10 | |
| 15 | Identification of allergens in Indian fishes: hilsa and pomfret exemplified by ELISA and immunoblotting. | 2005 | 10 |
| 16 | 2016 | 6 | |
| 17 | 2019 | 3 | |
| 18 | 2018 | 2 |
About Urmimala Chatterjee
Urmimala Chatterjee is a scholar working on Molecular Biology, Biomaterials, Physiology, Microbiology and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 479 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Alzheimer's disease research and treatments (4 papers), Silk-based biomaterials and applications (4 papers), Antimicrobial Peptides and Activities (3 papers), Hepatitis B Virus Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Computational Drug Discovery Methods (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). The work is most often cited by research in Biomaterials (121 citations), Physiology (190 citations), Immunology and Allergy (44 citations), Computational Theory and Mathematics (77 citations) and Pharmacology (60 citations). Urmimala Chatterjee has collaborated with scholars based in India, Sweden and Pakistan. Frequent co-authors include Jan Johansson, Partha Pratim Bose, Bishnu P. Chatterjee, Per I. Arvidsson, Charlotte Nerelius, Emmanuelle Göthelid, Roger Strömberg, David A. Lomas, Hans Leijonmarck and Damian C. Crowther. Their work appears in journals such as Molecular and Cellular Biochemistry, International Archives of Allergy and Immunology, Journal of Medicinal Chemistry, The FASEB Journal and Analytical Methods.
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.