Shimaa Afify

618 citations
37 papers · 345 · h-index 10

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • Gastrointestinal motility and disorders

Papers in

    • Hepatitis C virus research 11
    • Liver Disease and Transplantation 3
    • Liver Disease Diagnosis and Treatment 7
    • Hepatitis B Virus Studies 3

Shimaa Afify

34 papers receiving 341 citations

Peers

Shimaa Afify
Comparison fields: 5 of 59
  • Hepatology 135
  • Gastroenterology 37
  • Infectious Diseases 74
  • Epidemiology 124
  • Neurology 30
Replace Isabel Garrido with:
Isabel Garrido Portugal
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Anet Soubières United Kingdom
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Rohan Malik India
Qunqun Jiang China
Giuseppe Piccolo Italy
Nimisha Parekh United States
Martijn A. Verkade Netherlands
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Shimaa Afify relative to Isabel Garrido Portugal Isabel Garrido's profile →
Citations per field
00.5×10×20×29×
Isabel Garrido · 1×
Citations per year

Countries citing papers authored by Shimaa Afify

Since Specialization
Citations

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

Fields of papers citing papers by Shimaa Afify

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shimaa Afify, 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 Shimaa Afify Line = papers co-authored together Shimaa Afify links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201777
2 202032
3 202030
4 202127
5 201823
6 202119
7 202215
8 202315
9 201914
10 202112
11 20199
12 20239
13 20178
14 20218
15 20175
16 20224
17 20174
18 20204
19
Impact of Serum Alpha-fetoprotein Levels on the Response to Antiviral Therapy in Egyptian Patients with Chronic Hepatitis C
20133
20 20223

About Shimaa Afify

Shimaa Afify is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Surgery and Oncology, having authored 37 papers that have together received 345 indexed citations. Recurring topics across this work include Hepatitis C virus research (11 papers), Liver Disease Diagnosis and Treatment (7 papers), COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (5 papers), Hepatitis B Virus Studies (3 papers), Colorectal Cancer Screening and Detection (3 papers), COVID-19 and Mental Health (3 papers) and Liver Disease and Transplantation (3 papers). The work is most often cited by research in Hepatology (135 citations), Gastroenterology (37 citations), Infectious Diseases (74 citations), Epidemiology (124 citations) and Neurology (30 citations). Shimaa Afify has collaborated with scholars based in Egypt, United Kingdom and Philippines. Frequent co-authors include Mohamed El‐Kassas, Gamal Esmat, Mohamed Eltabbakh, Mohamed Alboraie, Anupam Rej, Mo Thoufeeq, Naglaa Youssef, Matthew Kurien, Alex J. Ball and Foong Way David Tai. Their work appears in journals such as PLoS ONE, Endoscopy, Journal of Medical Virology, World Journal of Gastroenterology and Journal of Mental Health.

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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