Shimaa M. Saied
- Health top 2%
- Infectious Diseases top 10%
- Sociology and Political Science top 10%
- Modeling and Simulation top 2%
- Economics and Econometrics top 10%
- Co-authors
- Ibrahim KabbashEman M. SaiedSanaa Abd El‐fatah AbdoAbdelrahman KobtanFerial El-KallaAmany A. GhazyMohamed El‐ShanshoryLaila M. Sherief
- Topics
- Smoking Behavior and Cessation (4 papers)Vaccine Coverage and Hesitancy (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)
- Partner nations
- EgyptUnited States
In The Last Decade
Shimaa M. Saied
17 papers receiving 505 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Health 300
- Infectious Diseases 241
- Sociology and Political Science 144
- Modeling and Simulation 106
- Economics and Econometrics 74
Countries citing papers authored by Shimaa M. Saied
This map shows the geographic impact of Shimaa M. Saied'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 Shimaa M. Saied with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shimaa M. Saied more than expected).
Fields of papers citing papers by Shimaa M. Saied
This network shows the impact of papers produced by Shimaa M. Saied. 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 Shimaa M. Saied. The network helps show where Shimaa M. Saied may publish in the future.
Co-authorship network of co-authors of Shimaa M. Saied
This figure shows the co-authorship network connecting the top 25 collaborators of Shimaa M. Saied. A scholar is included among the top collaborators of Shimaa M. Saied based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shimaa M. Saied. Shimaa M. Saied is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 17 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 0 | |
| 8 | 37 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | Vaccine hesitancy: Beliefs and barriers associated with COVID‐19 vaccination among Egyptian medical studentsbreakdown → | 304 |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 10 | |
| 16 | 0 | |
| 17 | 29 | |
| 18 | 4 | |
| 19 | 40 | |
| 20 | 31 |
About Shimaa M. Saied
Shimaa M. Saied is a scholar working on Medical Laboratory Technology, Emergency Medical Services and Hepatology, having authored 20 papers that have together received 513 indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (4 papers), Vaccine Coverage and Hesitancy (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Health (300 citations), Modeling and Simulation (106 citations) and Infectious Diseases (241 citations). Shimaa M. Saied has collaborated with scholars based in Egypt and United States. Frequent co-authors include Ibrahim Kabbash, Eman M. Saied, Sanaa Abd El‐fatah Abdo, Abdelrahman Kobtan, Ferial El-Kalla, Amany A. Ghazy, Mohamed El‐Shanshory, Laila M. Sherief, Sohier Yahia and Ahmed Mansour. Their work appears in journals such as Scientific Reports, Environmental Science and Pollution Research and Journal of Medical Virology.
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.