Swastika Maitra
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- MicroRNA in disease regulation 5
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- Extracellular vesicles in disease 11
- RNA Interference and Gene Delivery 7
- Protein Degradation and Inhibitors 5
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- Computational Drug Discovery Methods 6
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- Peptidase Inhibition and Analysis 4
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- Phytochemistry and Bioactive Compounds 2
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- Virus-based gene therapy research 2
- Co-authors
- Nobendu MukerjeeArabinda GhoshΑθανάσιος ΑλεξίουNanasaheb D. ThoratVetriselvan SubramaniyanDaniel Ejim UtiRohit SharmaPopat Mohite
- Journals
- SHILAP Revista de lepidopterología (5 papers)Scientific Reports (2 papers)Chemical Engineering Journal (1 paper)
- Partner nations
- IndiaSaudi ArabiaBangladesh
In The Last Decade
Swastika Maitra
31 papers receiving 342 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Biological Psychiatry 12
- Cancer Research 41
- Molecular Medicine 13
- Molecular Biology 177
- Complementary and alternative medicine 20
Countries citing papers authored by Swastika Maitra
This map shows the geographic impact of Swastika Maitra'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 Swastika Maitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swastika Maitra more than expected).
Fields of papers citing papers by Swastika Maitra
This network shows the impact of papers produced by Swastika Maitra. 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 Swastika Maitra. The network helps show where Swastika Maitra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Swastika Maitra, 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 | Exosome isolation and characterization for advanced diagnostic and therapeutic applicationsbreakdown → | 2025 | 28 |
| 2 | 2025 | 6 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 27 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 9 | |
| 12 | 2024 | 12 | |
| 13 | 2023 | 15 | |
| 14 | 2023 | 20 | |
| 15 | 2023 | 13 | |
| 16 | 2023 | 16 | |
| 17 | 2023 | 52 | |
| 18 | 2022 | 22 | |
| 19 | 2022 | 0 | |
| 20 | 2022 | 26 |
About Swastika Maitra
Swastika Maitra is a scholar working on Virology, Computational Theory and Mathematics and Pharmacology, having authored 34 papers that have together received 349 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (11 papers), RNA Interference and Gene Delivery (7 papers), Computational Drug Discovery Methods (6 papers), MicroRNA in disease regulation (5 papers), Protein Degradation and Inhibitors (5 papers), Peptidase Inhibition and Analysis (4 papers), Phytochemistry and Bioactive Compounds (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Biological Psychiatry (12 citations), Cancer Research (41 citations) and Molecular Medicine (13 citations). Swastika Maitra has collaborated with scholars based in India, Saudi Arabia and Bangladesh. Frequent co-authors include Nobendu Mukerjee, Arabinda Ghosh, Αθανάσιος Αλεξίου, Nanasaheb D. Thorat, Vetriselvan Subramaniyan, Daniel Ejim Uti, Rohit Sharma, Popat Mohite, Vinoth Kumarasamy and Mohamed M. Abdel‐Daim. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chemical Engineering Journal.
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.