Fatma El‐Mougy
- Epidemiology
- Molecular Biology
- Hepatology top 10%
- Endocrinology, Diabetes and Metabolism
- Clinical Biochemistry top 5%
- Co-authors
- Sahar SharafGhada M. AnwarMona S. El‐RazikyRavi JhaveriDoa’a A. SalehMohamed HashemHesham ElghazalySamer S. El‐Kamary
- Topics
- Liver Disease Diagnosis and Treatment (7 papers)Sexual Differentiation and Disorders (5 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaClinical Infectious DiseasesScientific Reports
- Partner nations
- EgyptUnited StatesSpain
In The Last Decade
Fatma El‐Mougy
30 papers receiving 474 citations
Peers
Comparison fields: 5 of 79
- Epidemiology 151
- Molecular Biology 122
- Hepatology 91
- Endocrinology, Diabetes and Metabolism 85
- Clinical Biochemistry 75
Countries citing papers authored by Fatma El‐Mougy
This map shows the geographic impact of Fatma El‐Mougy'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 Fatma El‐Mougy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatma El‐Mougy more than expected).
Fields of papers citing papers by Fatma El‐Mougy
This network shows the impact of papers produced by Fatma El‐Mougy. 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 Fatma El‐Mougy. The network helps show where Fatma El‐Mougy may publish in the future.
Co-authorship network of co-authors of Fatma El‐Mougy
This figure shows the co-authorship network connecting the top 25 collaborators of Fatma El‐Mougy. A scholar is included among the top collaborators of Fatma El‐Mougy 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 Fatma El‐Mougy. Fatma El‐Mougy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | MicroRNAs and Risk Factors for Diabetic Nephropathy in Egyptian Children and Adolescents with Type 1 Diabetes | 0 |
| 4 | 7 | |
| 5 | 23 | |
| 6 | 89 | |
| 7 | 25 | |
| 8 | 5 | |
| 9 | 15 | |
| 10 | 28 | |
| 11 | 8 | |
| 12 | 30 | |
| 13 | 1 | |
| 14 | 15 | |
| 15 | 56 | |
| 16 | 6 | |
| 17 | 11 | |
| 18 | 18 | |
| 19 | 4 | |
| 20 | 2 |
About Fatma El‐Mougy
Fatma El‐Mougy is a scholar working on Endocrinology, Diabetes and Metabolism, Developmental Biology and Hepatology, having authored 31 papers that have together received 482 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Sexual Differentiation and Disorders (5 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers). The work is most often cited by research in Hepatology (91 citations), Molecular Medicine (55 citations) and Clinical Biochemistry (75 citations). Fatma El‐Mougy has collaborated with scholars based in Egypt, United States and Spain. Frequent co-authors include Sahar Sharaf, Ghada M. Anwar, Mona S. El‐Raziky, Ravi Jhaveri, Doa’a A. Saleh, Mohamed Hashem, Hesham Elghazaly, Samer S. El‐Kamary, Wafaa A. Abd El‐Ghany and Ayman Mubarak. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Scientific Reports.
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.