Foad Alzoughool

780 citations
29 papers · 561 · h-index 11

Impact in

Papers in

Foad Alzoughool

26 papers receiving 546 citations

Peers

Foad Alzoughool
Comparison fields: 5 of 101
  • Infectious Diseases 179
  • Neurology 48
  • Modeling and Simulation 15
  • Pathology and Forensic Medicine 45
  • Oncology 64
Replace Jorge Hernández‐Bello with:
Jorge Hernández‐Bello Mexico
Mengzhen Dong China
Michael P. Morran United States
Filippo Scialò Italy
Omkar Indari India
Shixue Dai China
Manar Atoum Jordan
Yihao Liu China
Yongzhi Deng China
Marzanna Ciesielka Poland
Foad Alzoughool relative to Jorge Hernández‐Bello Mexico Jorge Hernández‐Bello's profile →
Citations per field
00.5×4.7×
Jorge Hernández‐Bello · 1×
Citations per year

Countries citing papers authored by Foad Alzoughool

Since Specialization
Citations

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

Fields of papers citing papers by Foad Alzoughool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020218
2 201766
3 202064
4 201447
5 202024
6 202024
7 202020
8 202213
9 201911
10 202011
11 202210
12 20218
13 20226
14 20216
15 20176
16 20226
17
Reduction in breast cancer susceptibility due to XbaI gene polymorphism of alpha estrogen receptor gene in Jordanians
20174
18 20213
19 20223
20 20203

About Foad Alzoughool

Foad Alzoughool is a scholar working on Physiology, Infectious Diseases, Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 29 papers that have together received 561 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), COVID-19 Clinical Research Studies (8 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Cardiac electrophysiology and arrhythmias (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Muscle metabolism and nutrition (2 papers), Estrogen and related hormone effects (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Infectious Diseases (179 citations), Neurology (48 citations), Modeling and Simulation (15 citations), Pathology and Forensic Medicine (45 citations) and Oncology (64 citations). Foad Alzoughool has collaborated with scholars based in Jordan, United Arab Emirates and Canada. Frequent co-authors include Manar Atoum, Lo’ai Alanagreh, Suhad Abumweis, Mohammad Borhan Al‐Zghoul, Michael H. Gollob, Arnon Adler, Huda Al Hourani, Nathan Orr, David H. Birnie and Jeff S. Healey. Their work appears in journals such as Public Health Genomics, Breast Cancer Targets and Therapy, Pharmaceuticals, Osong Public Health and Research Perspectives and Pathogens.

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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