Gaurav Arya
Impact in
- Molecular Medicine top 1%
- Hydrogels: synthesis, properties, applications
- Surfaces, Coatings and Films top 2%
Papers in
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- Polymer Surface Interaction Studies 11
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- Advanced biosensing and bioanalysis techniques 25
- RNA Interference and Gene Delivery 19
- Genomics and Chromatin Dynamics 19
- DNA and Nucleic Acid Chemistry 18
- RNA and protein synthesis mechanisms 16
- Co-authors
- Tamar SchlickEdward J. MaginnHsueh‐Chia ChangAndrea R. TaoShyni VargheseBo GaoBedri ArmanZe Shi
- Journals
- ACS Nano (8 papers)Nucleic Acids Research (7 papers)Macromolecules (7 papers)Nature Communications (6 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Gaurav Arya
115 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Medicine 365
- Surfaces, Coatings and Films 317
- Polymers and Plastics 564
- Biomaterials 516
- Biomedical Engineering 1.5k
Countries citing papers authored by Gaurav Arya
This map shows the geographic impact of Gaurav Arya'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 Gaurav Arya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaurav Arya more than expected).
Fields of papers citing papers by Gaurav Arya
This network shows the impact of papers produced by Gaurav Arya. 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 Gaurav Arya. The network helps show where Gaurav Arya may publish in the future.
Co-authors
The 25 scholars most cited alongside Gaurav Arya, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 49 | |
| 6 | 2024 | 19 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 15 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 37 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 17 | |
| 14 | 2022 | 28 | |
| 15 | 2022 | 8 | |
| 16 | 2022 | 23 | |
| 17 | 2022 | 9 | |
| 18 | 2021 | 12 | |
| 19 | 2021 | 17 | |
| 20 | 2018 | 110 |
About Gaurav Arya
Gaurav Arya is a scholar working on Surfaces, Coatings and Films, Molecular Biology, Fluid Flow and Transfer Processes, Physical and Theoretical Chemistry and Structural Biology, having authored 119 papers that have together received 4.9k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (25 papers), RNA Interference and Gene Delivery (19 papers), Genomics and Chromatin Dynamics (19 papers), DNA and Nucleic Acid Chemistry (18 papers), RNA and protein synthesis mechanisms (16 papers), Bacteriophages and microbial interactions (14 papers), Polymer Surface Interaction Studies (11 papers) and Surfactants and Colloidal Systems (10 papers). The work is most often cited by research in Molecular Medicine (365 citations), Surfaces, Coatings and Films (317 citations), Polymers and Plastics (564 citations), Biomaterials (516 citations) and Biomedical Engineering (1.5k citations). Gaurav Arya has collaborated with scholars based in United States, China and India. Frequent co-authors include Tamar Schlick, Edward J. Maginn, Hsueh‐Chia Chang, Andrea R. Tao, Shyni Varghese, Bo Gao, Bedri Arman, Ze Shi, Carlos E. Castro and Cheng‐Chih Hsu. Their work appears in journals such as ACS Nano, Nucleic Acids Research, Macromolecules, Nature Communications and Proceedings of the National Academy of Sciences.
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.