Amber Vyas
Impact in
- Pharmaceutical Science top 0.2%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
- Advancements in Transdermal Drug Delivery
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Drug Solubulity and Delivery Systems 16
- Advanced Drug Delivery Systems 14
- Advancements in Transdermal Drug Delivery 9
- Biomaterials 12
- Nanoparticle-Based Drug Delivery 10
- Co-authors
- Bina GidwaniShailendra SarafSwarnlata SarafPiyush JaiswalVeenu JoshiShiv Shankar ShuklaRavindra Kumar PandeyVikas Jain
- Journals
- Artificial Cells Nanomedicine and Biotechnology (6 papers)Current Pharmaceutical Design (3 papers)Planta Medica (2 papers)Anti-Cancer Agents in Medicinal Chemistry (2 papers)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- IndiaUnited StatesAustria
In The Last Decade
Amber Vyas
61 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Pharmaceutical Science 781
- Biomaterials 531
- Molecular Medicine 105
- Drug Discovery 2
- Dermatology 95
Countries citing papers authored by Amber Vyas
This map shows the geographic impact of Amber Vyas'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 Amber Vyas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amber Vyas more than expected).
Fields of papers citing papers by Amber Vyas
This network shows the impact of papers produced by Amber Vyas. 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 Amber Vyas. The network helps show where Amber Vyas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amber Vyas, 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 | 2023 | 1 | |
| 3 | 2023 | 26 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 4 | |
| 8 | 2020 | 24 | |
| 9 | 2020 | 0 | |
| 10 | 2018 | 13 | |
| 11 | 2017 | 39 | |
| 12 | 2017 | 23 | |
| 13 | 2017 | 3 | |
| 14 | 2015 | 373 | |
| 15 | 2014 | 78 | |
| 16 | 2014 | 28 | |
| 17 | 2013 | 163 | |
| 18 | 2013 | 22 | |
| 19 | 2013 | 52 | |
| 20 | 2012 | 10 |
About Amber Vyas
Amber Vyas is a scholar working on Pharmaceutical Science, Biomaterials, Pharmacology, Complementary and alternative medicine and Rehabilitation, having authored 65 papers that have together received 2.0k indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (16 papers), Advanced Drug Delivery Systems (14 papers), Nanoparticle-Based Drug Delivery (10 papers), Advancements in Transdermal Drug Delivery (9 papers), Crystallization and Solubility Studies (6 papers), Ethnobotanical and Medicinal Plants Studies (6 papers), Lipid Membrane Structure and Behavior (6 papers) and Natural Antidiabetic Agents Studies (5 papers). The work is most often cited by research in Pharmaceutical Science (781 citations), Biomaterials (531 citations), Molecular Medicine (105 citations), Drug Discovery (2 citations) and Dermatology (95 citations). Amber Vyas has collaborated with scholars based in India, United States and Austria. Frequent co-authors include Bina Gidwani, Shailendra Saraf, Swarnlata Saraf, Piyush Jaiswal, Veenu Joshi, Shiv Shankar Shukla, Ravindra Kumar Pandey, Vikas Jain, Vishal Jain and Deependra Singh. Their work appears in journals such as Artificial Cells Nanomedicine and Biotechnology, Current Pharmaceutical Design, Planta Medica, Anti-Cancer Agents in Medicinal Chemistry and International Journal of Biological Macromolecules.
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.