Fatma Soliman Elsayed Ebeid

988 citations
65 papers · 542 · h-index 13

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • Hemoglobinopathies and Related Disorders 26
    • Hepatitis C virus research 9

Fatma Soliman Elsayed Ebeid

57 papers receiving 528 citations

Peers

Fatma Soliman Elsayed Ebeid
Comparison fields: 5 of 64
  • Genetics 150
  • Infectious Diseases 123
  • Hepatology 38
  • Modeling and Simulation 18
  • Hematology 45
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Citations per year

Countries citing papers authored by Fatma Soliman Elsayed Ebeid

Since Specialization
Citations

This map shows the geographic impact of Fatma Soliman Elsayed Ebeid'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 Soliman Elsayed Ebeid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatma Soliman Elsayed Ebeid more than expected).

Fields of papers citing papers by Fatma Soliman Elsayed Ebeid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fatma Soliman Elsayed Ebeid. 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 Soliman Elsayed Ebeid. The network helps show where Fatma Soliman Elsayed Ebeid may publish in the future.

Co-authors

The 25 scholars most cited alongside Fatma Soliman Elsayed Ebeid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fatma Soliman Elsayed Ebeid Line = papers co-authored together Fatma Soliman Elsayed Ebeid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202193
2 202135
3 202031
4 201824
5 202122
6 200421
7 201519
8 202219
9 201318
10 201415
11 201815
12 201913
13 202113
14 202313
15 201712
16 201511
17 201010
18 20159
19 20189
20 20198

About Fatma Soliman Elsayed Ebeid

Fatma Soliman Elsayed Ebeid is a scholar working on Genetics, Hepatology, Hematology, Infectious Diseases and Oncology, having authored 65 papers that have together received 542 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (26 papers), Hepatitis C virus research (9 papers), COVID-19 Clinical Research Studies (5 papers), Platelet Disorders and Treatments (4 papers), COVID-19 and healthcare impacts (4 papers), Acute Lymphoblastic Leukemia research (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Genetics (150 citations), Infectious Diseases (123 citations), Hepatology (38 citations), Modeling and Simulation (18 citations) and Hematology (45 citations). Fatma Soliman Elsayed Ebeid has collaborated with scholars based in Egypt, United States and Canada. Frequent co-authors include Amira A. M. Adly, Mohsen Saleh Elalfy, Azza Abdel Gawad Tantawy, Eman Abdel Rahman Ismail, Ahmed S. Ibrahim, Fernando Tricta, Mona Mohamed Hamdy, Manal Hamdy El-Sayed, Amal M. El-Beshlawy and Julie Kanter. Their work appears in journals such as Journal of Pediatric Hematology/Oncology, HemaSphere, Cytokine, QJM and Annals of Hematology.

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.

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