Riad Ayesh

31 papers receiving 1.3k citations

Peers

Riad Ayesh
Comparison fields: 5 of 109
  • Pharmacology 330
  • Clinical Biochemistry 190
  • Biochemistry 180
  • Cancer Research 181
  • Biochemistry 69
Replace Mohamed M. Sayed‐Ahmed with:
Mohamed M. Sayed‐Ahmed Saudi Arabia
Richard T. Okita United States
Jukka Mäenpää Finland
Mark A. Tirmenstein United States
Joanna M. Little United States
Martti Koivusalo Finland
John Grayson Evans United Kingdom
Zuzana Červinková Czechia
Vincent G. Zannoni United States
Anne P. Autor United States
Riad Ayesh relative to Mohamed M. Sayed‐Ahmed Saudi Arabia Mohamed M. Sayed‐Ahmed's profile →
Citations per field
00.5×1.5×2×2.4×
Mohamed M. Sayed‐Ahmed · 1×
Citations per year

Countries citing papers authored by Riad Ayesh

Since Specialization
Citations

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

Fields of papers citing papers by Riad Ayesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984339
2 1993118
3 198797
4 199794
5 199993
6 199179
7 199971
8 199268
9 198750
10 198848
11 200240
12 198839
13 198738
14 199737
15 199033
16 198731
17 199329
18 198829
19 198928
20 199121

About Riad Ayesh

Riad Ayesh is a scholar working on Biochemistry, Clinical Biochemistry, Nutrition and Dietetics, Pharmacology and Rheumatology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (6 papers), Metabolism and Genetic Disorders (6 papers), Vitamin C and Antioxidants Research (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Polyamine Metabolism and Applications (2 papers), Cholesterol and Lipid Metabolism (2 papers), Sulfur Compounds in Biology (2 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Pharmacology (330 citations), Clinical Biochemistry (190 citations), Biochemistry (180 citations), Cancer Research (181 citations) and Biochemistry (69 citations). Riad Ayesh has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Robert L. Smith, Jeffrey R. Idle, Stephen Mitchell, Martin R. Hetzel, James Ritchie, Makram M. Al-Waiz, Stephen C. Mitchell, Jan A. Weststrate, Barry Phillips and K.R. Butterworth. Their work appears in journals such as British Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics, Food and Chemical Toxicology, Environmental and Molecular Mutagenesis and The Lancet.

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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