Edwin A. Saada
Impact in
- Epidemiology top 5%
- Trypanosoma species research and implications
Papers in
- Epidemiology 11
- Trypanosoma species research and implications 9
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- CRISPR and Genetic Engineering 5
- Co-authors
- Kent L. Hill (10 shared papers)Michelle M. Shimogawa (5 shared papers)James A. Wohlschlegel (6 shared papers)Michael Oberholzer (3 shared papers)Gerasimos Langousis (5 shared papers)Miguel A. López (2 shared papers)Zophonı́as O. Jónsson (2 shared papers)Ajay A. Vashisht (4 shared papers)
- Journals
- Eukaryotic Cell (3 papers)Scientific Reports (2 papers)Molecular & Cellular Proteomics (2 papers)Molecular Therapy — Methods & Clinical Development (1 paper)mAbs (1 paper)
- Partner nations
- United StatesBrazilPoland
In The Last Decade
Edwin A. Saada
17 papers receiving 625 citations
Peers
Comparison fields: 5 of 73
- Epidemiology 383
- Business and International Management 17
- Physiology 37
- Insect Science 95
- Public Health, Environmental and Occupational Health 191
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 | 111 | |
| 2 | 2020 | 83 | |
| 3 | 2014 | 62 | |
| 4 | 2014 | 59 | |
| 5 | 2014 | 44 | |
| 6 | 2015 | 43 | |
| 7 | 2015 | 36 | |
| 8 | 2014 | 36 | |
| 9 | 2015 | 32 | |
| 10 | 2019 | 25 | |
| 11 | 2023 | 24 | |
| 12 | 2015 | 20 | |
| 13 | 2018 | 17 | |
| 14 | 2020 | 14 | |
| 15 | 2021 | 14 | |
| 16 | 2017 | 10 | |
| 17 | 2021 | 1 |
About Edwin A. Saada
Edwin A. Saada is a scholar working on Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health, Infectious Diseases and Insect Science, having authored 17 papers that have together received 631 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (9 papers), CRISPR and Genetic Engineering (5 papers), Insect symbiosis and bacterial influences (3 papers), Research on Leishmaniasis Studies (3 papers), Mosquito-borne diseases and control (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Viral Infections and Outbreaks Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Epidemiology (383 citations), Business and International Management (17 citations), Physiology (37 citations), Insect Science (95 citations) and Public Health, Environmental and Occupational Health (191 citations). Edwin A. Saada has collaborated with scholars based in United States, Brazil and Poland. Frequent co-authors include Kent L. Hill, Michelle M. Shimogawa, James A. Wohlschlegel, Michael Oberholzer, Gerasimos Langousis, Miguel A. López, Zophonı́as O. Jónsson, Ajay A. Vashisht, HoangKim Nguyen and Steven Nguyen. Their work appears in journals such as Eukaryotic Cell, Scientific Reports, Molecular & Cellular Proteomics, Molecular Therapy — Methods & Clinical Development 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.