Sameera Ezzat

65 papers receiving 1.3k citations

Peers

Sameera Ezzat
Comparison fields: 5 of 106
  • Hepatology 233
  • Applied Microbiology and Biotechnology 30
  • Cancer Research 136
  • Epidemiology 226
  • Ophthalmology 44
Replace Kashyap Patel with:
Kashyap Patel Australia
Chang‐Fang Chiu Taiwan
Ken Satoh Japan
Hayato Miyachi Japan
Hussein Khaled Egypt
Chao‐Bin Yeh Taiwan
Ke Zhang China
D H Ho United States
Yi‐Lin Chiu United States
Peter Anthony United Kingdom
Sameera Ezzat relative to Kashyap Patel Australia Kashyap Patel's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sameera Ezzat

Since Specialization
Citations

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

Fields of papers citing papers by Sameera Ezzat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sameera Ezzat. 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 Sameera Ezzat. The network helps show where Sameera Ezzat may publish in the future.

Co-authors

The 25 scholars most cited alongside Sameera Ezzat, 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 Sameera Ezzat Line = papers co-authored together Sameera Ezzat 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 2020179
2 2009124
3 2005105
4 201277
5 201467
6 201265
7 200744
8 202343
9 201540
10 201037
11 202034
12 201931
13 200828
14 200928
15 201027
16 200525
17 201123
18 201823
19 201720
20 201419

About Sameera Ezzat

Sameera Ezzat is a scholar working on Hepatology, Epidemiology, Public Health, Environmental and Occupational Health, Cancer Research and Surgery, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hepatitis C virus research (15 papers), Liver Disease Diagnosis and Treatment (7 papers), Hepatitis B Virus Studies (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Ethics in Clinical Research (4 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Health and Medical Research Impacts (2 papers). The work is most often cited by research in Hepatology (233 citations), Applied Microbiology and Biotechnology (30 citations), Cancer Research (136 citations), Epidemiology (226 citations) and Ophthalmology (44 citations). Sameera Ezzat has collaborated with scholars based in Egypt, United States and Germany. Frequent co-authors include Wafaa M. Rashed, Christopher A. Loffredo, Mohamed Abdel‐Hamid, Mohamed A. Kandeil, Mohamed O. Mahmoud, Iman Gouda, Tamer Hifnawy, Mai M. El-Daly, Sherif A. El‐Kafrawy and Lenka Goldman. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, International Journal of Hygiene and Environmental Health, Biopreservation and Biobanking, Urologic Oncology Seminars and Original Investigations and European Journal of Gastroenterology & Hepatology.

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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