Foad Alzoughool

753 citations
26 papers · 537 · h-index 10

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • Long-Term Effects of COVID-19

Papers in

Foad Alzoughool

25 papers receiving 526 citations

Peers

Foad Alzoughool
Comparison fields: 5 of 102
  • Infectious Diseases 206
  • Neurology 62
  • Modeling and Simulation 18
  • Oncology 83
  • Pathology and Forensic Medicine 49
Replace Manar Atoum with:
Manar Atoum Jordan
Dina Moustafa Abo El-Ella Egypt
Kajal Rawat India
Michael P. Morran United States
Mengzhen Dong China
Jorge Hernández‐Bello Mexico
Yihao Liu China
Marzanna Ciesielka Poland
Jordan Hindson Denmark
Ali Shamekh Iran
Foad Alzoughool relative to Manar Atoum Jordan Manar Atoum's profile →
Citations per field
00.5×1.5×
Manar Atoum · 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020209
2 201764
3 202064
4 201443
5 202024
6 202024
7 202020
8 202213
9 201911
10 202210
11 20209
12 20218
13 20176
14 20225
15 20215
16 20225
17 20223
18 20203
19 20213
20 20212

About Foad Alzoughool

Foad Alzoughool is a scholar working on Infectious Diseases, Molecular Biology, Physiology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 537 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), COVID-19 Clinical Research Studies (8 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Long-Term Effects of COVID-19 (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Ion channel regulation and function (3 papers), Muscle metabolism and nutrition (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Infectious Diseases (206 citations), Neurology (62 citations), Modeling and Simulation (18 citations), Oncology (83 citations) and Pathology and Forensic Medicine (49 citations). Foad Alzoughool has collaborated with scholars based in Jordan, United Arab Emirates and Canada. Frequent co-authors include Manar Atoum, Lo’ai Alanagreh, Huda Al Hourani, Suhad Abumweis, Mohammad Borhan Al‐Zghoul, Michael H. Gollob, David H. Birnie, Arnon Adler, Mark J. Perrin and Shubhayan Sanatani. Their work appears in journals such as Public Health Genomics, Breast Cancer Targets and Therapy, Circulation Cardiovascular Genetics, Genes and Canadian 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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