Fahad Alnouri

1.5k citations
13 papers · 126 indexed · h-index 7
Topics
Lipoproteins and Cardiovascular Health (12 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)Cancer, Lipids, and Metabolism (5 papers)
Partner nations
Saudi ArabiaOmanKuwait

In The Last Decade

Fahad Alnouri

13 papers receiving 125 citations

Peers

Fahad Alnouri
Comparison fields: 5 of 34
  • Surgery 100
  • Endocrinology, Diabetes and Metabolism 50
  • Cardiology and Cardiovascular Medicine 28
  • Cancer Research 26
  • Economics and Econometrics 18
Replace Karen Wolmarans with:
Karen Wolmarans South Africa
Maurício Teruo Tada Brazil
В. О. Константинов Russia
Ruth Eatough United Kingdom
Urša Šuštar Slovenia
Ľubomíra Fábryová Slovakia
Loukianos Rallidis Greece
Yadong Yang United States
M. Melone Canada
Arman Postadzhiyan Bulgaria
Fahad Alnouri relative to Karen Wolmarans South Africa Karen Wolmarans's profile →
Citations per field
00.5×
Karen Wolmarans · 1×
Citations per year

Countries citing papers authored by Fahad Alnouri

Since Specialization
Citations

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

Fields of papers citing papers by Fahad Alnouri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fahad Alnouri

This figure shows the co-authorship network connecting the top 25 collaborators of Fahad Alnouri. A scholar is included among the top collaborators of Fahad Alnouri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fahad Alnouri. Fahad Alnouri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 2
2 2
3 5
4 16
5 14
6 3
7 15
8 16
9 3
10 12
11 23
12 12
13 3

About Fahad Alnouri

Fahad Alnouri is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Surgery, having authored 13 papers that have together received 126 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Cancer, Lipids, and Metabolism (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (50 citations), Surgery (100 citations) and Cancer Research (26 citations). Fahad Alnouri has collaborated with scholars based in Saudi Arabia, Oman and Kuwait. Frequent co-authors include Faisal A. Al-Allaf, Hani Sabbour, Khalid Al‐Rasadi, Mohammad Athar, Raúl D. Santos, David Wood, Mohammad Zubaid, Kornelia Kotseva, Zuhier Awan and Zainularifeen Abduljaleel. Their work appears in journals such as Food Chemistry, Atherosclerosis and International Journal of Cardiology.

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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