Jasmine Davda
Impact in
- Pharmaceutical Science top 2%
- Advanced Drug Delivery Systems
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Protein purification and stability 3
- Oncology 5
- Cancer Immunotherapy and Biomarkers 2
- Lung Cancer Research Studies 2
- Co-authors
- Vinod Labhasetwar (5 shared papers)Mohamed G. Qaddoumi (2 shared papers)Vincent H.L. Lee (2 shared papers)Ryan J. Hansen (1 shared paper)Hideo UEDA (1 shared paper)Johnny Yang (1 shared paper)Peter R. Gwilt (3 shared papers)Siwen Hu‐Lieskovan (3 shared papers)
- Journals
- mAbs (2 papers)Annals of Oncology (2 papers)International Immunopharmacology (1 paper)Brain Research (1 paper)Pharmaceutical Research (1 paper)
- Partner nations
- United StatesBelgiumChina
In The Last Decade
Jasmine Davda
18 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 111
- Pharmaceutical Science 202
- Biomaterials 375
- Rheumatology 159
- Radiology, Nuclear Medicine and Imaging 212
- Immunology 201
Countries citing papers authored by Jasmine Davda
This map shows the geographic impact of Jasmine Davda'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 Jasmine Davda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jasmine Davda more than expected).
Fields of papers citing papers by Jasmine Davda
This network shows the impact of papers produced by Jasmine Davda. 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 Jasmine Davda. The network helps show where Jasmine Davda may publish in the future.
Co-authors
The 25 scholars most cited alongside Jasmine Davda, 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 | 2002 | 429 | |
| 2 | 2004 | 195 | |
| 3 | 2017 | 178 | |
| 4 | 2019 | 130 | |
| 5 | Clathrin and caveolin-1 expression in primary pigmented rabbit conjunctival epithelial cells: role in PLGA nanoparticle endocytosis. | 2003 | 113 |
| 6 | 2007 | 85 | |
| 7 | 2010 | 74 | |
| 8 | 2006 | 71 | |
| 9 | 2019 | 55 | |
| 10 | 2006 | 46 | |
| 11 | 2014 | 37 | |
| 12 | 2021 | 25 | |
| 13 | 2001 | 9 | |
| 14 | 2005 | 5 | |
| 15 | 2021 | 2 | |
| 16 | 2012 | 2 | |
| 17 | 2019 | 1 | |
| 18 | 2017 | 1 |
About Jasmine Davda
Jasmine Davda is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Protein purification and stability (3 papers), Biosimilars and Bioanalytical Methods (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Lung Cancer Research Studies (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Pharmaceutical Science (202 citations), Biomaterials (375 citations), Rheumatology (159 citations), Radiology, Nuclear Medicine and Imaging (212 citations) and Immunology (201 citations). Jasmine Davda has collaborated with scholars based in United States, Belgium and China. Frequent co-authors include Vinod Labhasetwar, Mohamed G. Qaddoumi, Vincent H.L. Lee, Ryan J. Hansen, Hideo UEDA, Johnny Yang, Peter R. Gwilt, Siwen Hu‐Lieskovan, Jeffrey Chou and Ira Jacobs. Their work appears in journals such as mAbs, Annals of Oncology, International Immunopharmacology, Brain Research and Pharmaceutical Research.
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.