Mohamed M. Rizk
- Co-authors
- Ashraf SolimanI. NasrWael El‐MataryAnabel M. ScaraneloLindsay M. JacksM. ThabetM.A. El‐ShorbagyAbd Allah A. Mousa
- Topics
- Statistical Distribution Estimation and Applications (4 papers)Advanced Clustering Algorithms Research (3 papers)Quality and Safety in Healthcare (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaAmerican Journal of RoentgenologyMetabolism
- Partner nations
- EgyptUnited StatesYemen
In The Last Decade
Mohamed M. Rizk
34 papers receiving 321 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 94
- Endocrinology, Diabetes and Metabolism 73
- Genetics 49
- Rheumatology 38
- Oncology 36
Countries citing papers authored by Mohamed M. Rizk
This map shows the geographic impact of Mohamed M. Rizk'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 Mohamed M. Rizk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed M. Rizk more than expected).
Fields of papers citing papers by Mohamed M. Rizk
This network shows the impact of papers produced by Mohamed M. Rizk. 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 Mohamed M. Rizk. The network helps show where Mohamed M. Rizk may publish in the future.
Co-authorship network of co-authors of Mohamed M. Rizk
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed M. Rizk. A scholar is included among the top collaborators of Mohamed M. Rizk 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 Mohamed M. Rizk. Mohamed M. Rizk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | NEUTROPHIL GELATINASE – ASSOCIATED LIPOCALIN (NGAL) AS a BIOMARKER FOR ACUTE KIDNEY INJURY, MORBIDITY AND MORTALITY AFTER PEDIATRIC CARDIAC SURGERY | 1 |
| 11 | 3 | |
| 12 | 2 | |
| 13 | Enhanced swarm-like agents for dynamically adaptive data clustering | 1 |
| 14 | 3 | |
| 15 | 23 | |
| 16 | 40 | |
| 17 | 5 | |
| 18 | 40 | |
| 19 | 65 | |
| 20 | 1 |
About Mohamed M. Rizk
Mohamed M. Rizk is a scholar working on Medical Laboratory Technology, Numerical Analysis and Statistics and Probability, having authored 38 papers that have together received 337 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (4 papers), Advanced Clustering Algorithms Research (3 papers) and Quality and Safety in Healthcare (2 papers). The work is most often cited by research in Equine (12 citations), Health Informatics (6 citations) and Endocrinology, Diabetes and Metabolism (73 citations). Mohamed M. Rizk has collaborated with scholars based in Egypt, United States and Yemen. Frequent co-authors include Ashraf Soliman, I. Nasr, Wael El‐Matary, Anabel M. Scaranelo, Lindsay M. Jacks, M. Thabet, M.A. El‐Shorbagy, Abd Allah A. Mousa, Sherin M. Youssef and Hesham F. Alharby. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Roentgenology and Metabolism.
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.