Edwin A. Saada
Impact in
- Epidemiology top 5%
- Trypanosoma species research and implications
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- Nanoparticle-Based Drug Delivery
Papers in
- Epidemiology 10
- Trypanosoma species research and implications 10
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- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Kent L. Hill (10 shared papers)James Akira Wohlschlegel (6 shared papers)Michael Oberholzer (3 shared papers)Michelle M. Shimogawa (5 shared papers)Gerasimos Langousis (5 shared papers)Zophonías Oddur Jónsson (2 shared papers)Ajay Amar Vashisht (4 shared papers)Joseph S. Schoeniger (5 shared papers)
- Journals
- Eukaryotic Cell (3 papers)Molecular & Cellular Proteomics (2 papers)Scientific Reports (2 papers)Acta Biomaterialia (1 paper)mAbs (1 paper)
- Partner nations
- United StatesBrazilPoland
In The Last Decade
Edwin A. Saada
20 papers receiving 744 citations
Peers
Comparison fields: 5 of 59
- Epidemiology 354
- Biomaterials 50
- Molecular Biology 237
- Infectious Diseases 40
- Genetics 54
Countries citing papers authored by Edwin A. Saada
This map shows the geographic impact of Edwin A. Saada'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 Edwin A. Saada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwin A. Saada more than expected).
Fields of papers citing papers by Edwin A. Saada
This network shows the impact of papers produced by Edwin A. Saada. 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 Edwin A. Saada. The network helps show where Edwin A. Saada may publish in the future.
Co-authors
The 25 scholars most cited alongside Edwin A. Saada, 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 | 2011 | 115 | |
| 2 | 2020 | 92 | |
| 3 | 2014 | 63 | |
| 4 | 2014 | 62 | |
| 5 | 2015 | 47 | |
| 6 | 2014 | 46 | |
| 7 | 2015 | 39 | |
| 8 | 2014 | 38 | |
| 9 | 2015 | 35 | |
| 10 | 2023 | 34 | |
| 11 | 2024 | 29 | |
| 12 | 2019 | 27 | |
| 13 | 2021 | 23 | |
| 14 | 2015 | 21 | |
| 15 | 2018 | 20 | |
| 16 | 2021 | 18 | |
| 17 | 2020 | 16 | |
| 18 | 2017 | 13 | |
| 19 | 2021 | 11 | |
| 20 | 2021 | 3 |
About Edwin A. Saada
Edwin A. Saada is a scholar working on Epidemiology, Infectious Diseases, Biomaterials, Computational Theory and Mathematics and Molecular Biology, having authored 20 papers that have together received 752 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (10 papers), CRISPR and Genetic Engineering (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), RNA Interference and Gene Delivery (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Computational Drug Discovery Methods (2 papers), Genetic and Kidney Cyst Diseases (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Epidemiology (354 citations), Biomaterials (50 citations), Molecular Biology (237 citations), Infectious Diseases (40 citations) and Genetics (54 citations). Edwin A. Saada has collaborated with scholars based in United States, Brazil and Poland. Frequent co-authors include Kent L. Hill, James Akira Wohlschlegel, Michael Oberholzer, Michelle M. Shimogawa, Gerasimos Langousis, Zophonías Oddur Jónsson, Ajay Amar Vashisht, Joseph S. Schoeniger, Steven M. Nguyen and HoangKim T. Nguyen. Their work appears in journals such as Eukaryotic Cell, Molecular & Cellular Proteomics, Scientific Reports, Acta Biomaterialia and mAbs.
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.