Supriyo Naskar
Impact in
- Inorganic Chemistry top 10%
- Metal-Organic Frameworks: Synthesis and Applications
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- Membrane Separation Technologies
Papers in
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- DNA and Nucleic Acid Chemistry 7
- Advanced biosensing and bioanalysis techniques 6
- RNA Interference and Gene Delivery 4
- RNA and protein synthesis mechanisms 3
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- Nanopore and Nanochannel Transport Studies 3
- Co-authors
- Guillaume Maurin (6 shared papers)Dong Fan (5 shared papers)Prabal K. Maiti (11 shared papers)Mohamed Eddaoudi (2 shared papers)Abhishek Aggarwal (2 shared papers)Osama Shekhah (1 shared paper)Jiangtao Jia (1 shared paper)Himanshu Joshi (2 shared papers)
In The Last Decade
Supriyo Naskar
17 papers receiving 315 citations
Supriyo Naskar's Hit Papers
Peers
Comparison fields: 5 of 55
- Inorganic Chemistry 95
- Water Science and Technology 38
- Mechanical Engineering 89
- Process Chemistry and Technology 6
- Materials Chemistry 87
Countries citing papers authored by Supriyo Naskar
This map shows the geographic impact of Supriyo Naskar'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 Supriyo Naskar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supriyo Naskar more than expected).
Fields of papers citing papers by Supriyo Naskar
This network shows the impact of papers produced by Supriyo Naskar. 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 Supriyo Naskar. The network helps show where Supriyo Naskar may publish in the future.
Co-authors
The 25 scholars most cited alongside Supriyo Naskar, 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 | Design of Mixed‐Matrix MOF Membranes with Asymmetric Filler Density and Intrinsic MOF/Polymer Compatibility for Enhanced Molecular Sieving Hit paper breakdown → | 2024 | 73 |
| 2 | 2024 | 39 | |
| 3 | 2020 | 32 | |
| 4 | 2024 | 30 | |
| 5 | 2023 | 24 | |
| 6 | 2019 | 18 | |
| 7 | 2019 | 17 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 16 | |
| 10 | 2022 | 14 | |
| 11 | 2019 | 14 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2026 | 1 | |
| 18 | 2025 | 0 |
About Supriyo Naskar
Supriyo Naskar is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Inorganic Chemistry and Mechanical Engineering, having authored 18 papers that have together received 316 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Metal-Organic Frameworks: Synthesis and Applications (4 papers), RNA Interference and Gene Delivery (4 papers), Nanopore and Nanochannel Transport Studies (3 papers), RNA and protein synthesis mechanisms (3 papers), Catalytic Processes in Materials Science (2 papers) and Membrane Separation Technologies (2 papers). The work is most often cited by research in Inorganic Chemistry (95 citations), Water Science and Technology (38 citations), Mechanical Engineering (89 citations), Process Chemistry and Technology (6 citations) and Materials Chemistry (87 citations). Supriyo Naskar has collaborated with scholars based in India, France and Germany. Frequent co-authors include Guillaume Maurin, Dong Fan, Prabal K. Maiti, Mohamed Eddaoudi, Abhishek Aggarwal, Osama Shekhah, Jiangtao Jia, Himanshu Joshi, Rifan Hardian and György Székely. Their work appears in journals such as Physical Chemistry Chemical Physics, Nanoscale, Chemical Science, Advanced Materials and Chemistry of Materials.
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.