Rita E. Serda
Impact in
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 2%
- Nanoplatforms for cancer theranostics
- Graphene and Nanomaterials Applications
- Nanowire Synthesis and Applications
Papers in ⓘ
- Biomaterials 22
- Nanoparticle-Based Drug Delivery 19
- Co-authors
- Biana Godin (13 shared papers)Mauro Ferrari (16 shared papers)Xuewu Liu (13 shared papers)Mauro Ferrari (6 shared papers)Ciro Chiappini (10 shared papers)Paolo Decuzzi (4 shared papers)Ennio Tasciotti (4 shared papers)Jianhua Gu (9 shared papers)
- Journals
- Small (5 papers)Molecular Imaging (3 papers)International Journal of Nanomedicine (3 papers)Scientific Reports (2 papers)Advanced Materials (2 papers)
- Partner nations
- United StatesUnited KingdomMexico
In The Last Decade
Rita E. Serda
76 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 140
- Biomaterials 856
- Biomedical Engineering 1.3k
- Materials Chemistry 868
- Pharmaceutical Science 97
- Immunology 318
Countries citing papers authored by Rita E. Serda
This map shows the geographic impact of Rita E. Serda'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 Rita E. Serda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita E. Serda more than expected).
Fields of papers citing papers by Rita E. Serda
This network shows the impact of papers produced by Rita E. Serda. 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 Rita E. Serda. The network helps show where Rita E. Serda may publish in the future.
Co-authors
The 25 scholars most cited alongside Rita E. Serda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 337 | |
| 2 | 2010 | 174 | |
| 3 | 2011 | 158 | |
| 4 | 2009 | 130 | |
| 5 | 2010 | 108 | |
| 6 | 2001 | 105 | |
| 7 | 2010 | 100 | |
| 8 | 2021 | 87 | |
| 9 | 2018 | 86 | |
| 10 | 2010 | 84 | |
| 11 | 2020 | 83 | |
| 12 | 2020 | 78 | |
| 13 | 2016 | 76 | |
| 14 | 2009 | 69 | |
| 15 | 2019 | 64 | |
| 16 | 2007 | 59 | |
| 17 | 2010 | 56 | |
| 18 | 2006 | 50 | |
| 19 | 2013 | 49 | |
| 20 | 2015 | 46 |
About Rita E. Serda
Rita E. Serda is a scholar working on Biomaterials, Structural Biology, Biomedical Engineering, Immunology and Molecular Biology, having authored 77 papers that have together received 2.8k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (19 papers), RNA Interference and Gene Delivery (14 papers), Nanoplatforms for cancer theranostics (11 papers), Silicon Nanostructures and Photoluminescence (9 papers), Graphene and Nanomaterials Applications (8 papers), Immunotherapy and Immune Responses (8 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Extracellular vesicles in disease (8 papers). The work is most often cited by research in Biomaterials (856 citations), Biomedical Engineering (1.3k citations), Materials Chemistry (868 citations), Pharmaceutical Science (97 citations) and Immunology (318 citations). Rita E. Serda has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Biana Godin, Mauro Ferrari, Xuewu Liu, Mauro Ferrari, Ciro Chiappini, Paolo Decuzzi, Ennio Tasciotti, Jianhua Gu, C. Jeffrey Brinker and Achraf Noureddine. Their work appears in journals such as Small, Molecular Imaging, International Journal of Nanomedicine, Scientific Reports and Advanced 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.