Ibrahim M. Sayed

2.2k citations
72 papers · 1.6k · h-index 22

Impact in

  • Hepatology top 0.5%
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Liver Diseases and Immunity
    • Hepatitis C virus research
    • Viral gastroenteritis research and epidemiology

Papers in

    • Hepatitis Viruses Studies and Epidemiology 33
    • Liver Disease and Transplantation 23
    • Liver Diseases and Immunity 8
    • Viral gastroenteritis research and epidemiology 14

Ibrahim M. Sayed

70 papers receiving 1.5k citations

Peers

Ibrahim M. Sayed
Comparison fields: 5 of 105
  • Hepatology 870
  • Infectious Diseases 578
  • Applied Microbiology and Biotechnology 33
  • Epidemiology 192
  • Small Animals 45
Replace Stephanie Noviello with:
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Ting‐Shu Wu Taiwan
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Citations per field
00.5×4.1×
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Citations per year

Countries citing papers authored by Ibrahim M. Sayed

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim M. Sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ibrahim M. Sayed. 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 Ibrahim M. Sayed. The network helps show where Ibrahim M. Sayed may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017155
2 2016110
3 201595
4 202066
5 201864
6 202261
7 202151
8 201949
9 202149
10 202047
11 201744
12 201941
13 202038
14 202036
15 202036
16 202133
17 202031
18 202028
19 202027
20 201827

About Ibrahim M. Sayed

Ibrahim M. Sayed is a scholar working on Hepatology, Infectious Diseases, Molecular Biology, Oncology and Epidemiology, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (33 papers), Liver Disease and Transplantation (23 papers), Viral gastroenteritis research and epidemiology (14 papers), Liver Diseases and Immunity (8 papers), Gut microbiota and health (5 papers), Cancer Cells and Metastasis (4 papers), Hepatitis B Virus Studies (3 papers) and COVID-19 Impact on Reproduction (3 papers). The work is most often cited by research in Hepatology (870 citations), Infectious Diseases (578 citations), Applied Microbiology and Biotechnology (33 citations), Epidemiology (192 citations) and Small Animals (45 citations). Ibrahim M. Sayed has collaborated with scholars based in Egypt, United States and Belgium. Frequent co-authors include Mohamed A. El‐Mokhtar, Philip Meuleman, Amal A. Elkhawaga, Soumita Das, Sayed F. Abdelwahab, Pradipta Ghosh, Jacques Izopet, Koen Vercauteren, Florence Abravanel and Laurence Cocquerel. Their work appears in journals such as Pathogens, Viruses, International Journal of Food Microbiology, Reviews in Medical Virology and Infection and Drug Resistance.

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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