Mohammed A. Sayed

518 citations
16 papers · 406 · h-index 9

Impact in

    • Antibiotic Resistance in Bacteria
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments

Papers in

Mohammed A. Sayed

14 papers receiving 390 citations

Peers

Mohammed A. Sayed
Comparison fields: 5 of 75
  • Molecular Medicine 55
  • Neurology 68
  • Agronomy and Crop Science 50
  • Toxicology 16
  • Equine 7
Replace Jong Geol Lee with:
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Sylvie Huybers Netherlands
Tianli Yang China
T. N. Savateeva-Lyubimova Russia
Jiaqing Yang China
Jiaqi Lin China
Jyothi Padiadpu India
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Mohammed A. Sayed relative to Jong Geol Lee South Korea Jong Geol Lee's profile →
Citations per field
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Jong Geol Lee · 1×
Citations per year

Countries citing papers authored by Mohammed A. Sayed

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed A. Sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2013115
2 201955
3 198155
4 201850
5 202040
6 201921
7 201917
8 201812
9 202011
10 20178
11 20238
12 20208
13 20245
14 20231
15 20250
16 20230

About Mohammed A. Sayed

Mohammed A. Sayed is a scholar working on Molecular Biology, Agronomy and Crop Science, Neurology, Epidemiology and Molecular Medicine, having authored 16 papers that have together received 406 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Reproductive Physiology in Livestock (3 papers), Neurological Disease Mechanisms and Treatments (2 papers), Antibiotic Resistance in Bacteria (2 papers), Nematode management and characterization studies (1 paper), Bioactive Compounds and Antitumor Agents (1 paper), S100 Proteins and Annexins (1 paper) and Biochemical effects in animals (1 paper). The work is most often cited by research in Molecular Medicine (55 citations), Neurology (68 citations), Agronomy and Crop Science (50 citations), Toxicology (16 citations) and Equine (7 citations). Mohammed A. Sayed has collaborated with scholars based in Egypt, United States and Jordan. Frequent co-authors include Soeun Park, Gamal El‐Din A. Abuo‐Rahma, Youngjoo Kwon, Mohamed Abdel‐Aziz, Susan C. Fagan, Adviye Ergul, Wael Eldahshan, Noha A. Hassuna, A. B. ElWishy and Tauheed Ishrat. Their work appears in journals such as BMC Pregnancy and Childbirth, Journal of Neuroinflammation, Theriogenology, PLoS ONE and Andrologia.

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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