Mohammad Abdallat

400 citations
9 papers · 280 · h-index 5

Impact in

    • COVID-19 epidemiological studies
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • Viral Infections and Outbreaks Research

Papers in

Mohammad Abdallat

8 papers receiving 266 citations

Peers

Mohammad Abdallat
Comparison fields: 5 of 57
  • Modeling and Simulation 86
  • Infectious Diseases 223
  • Animal Science and Zoology 57
  • Hepatology 14
  • Neurology 18
Replace Sultan Alqasrawi with:
Sultan Alqasrawi Jordan
Rickjason C. W. Chan China
Hani Saad Al-Mugti Saudi Arabia
Barnaby Flower United Kingdom
Elizabeth A. LaMere United States
Ga Eun Park South Korea
Limor Kliker Israel
Leo C. H. Tsang Hong Kong
Anvar Hassan Kaleeckal Qatar
Yaki Saciuk Israel
Mohammad Abdallat relative to Sultan Alqasrawi Jordan Sultan Alqasrawi's profile →
Citations per field
00.5×1.5×
Sultan Alqasrawi · 1×
Citations per year

Countries citing papers authored by Mohammad Abdallat

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Abdallat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2013211
2 201633
3 202015
4 201310
5 20137
6 20232
7 20111
8 20181
9 20250

About Mohammad Abdallat

Mohammad Abdallat is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases, Modeling and Simulation, Pathology and Forensic Medicine and Health, having authored 9 papers that have together received 280 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (2 papers), Pleural and Pulmonary Diseases (2 papers), Lung Cancer Treatments and Mutations (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 epidemiological studies (2 papers), Poisoning and overdose treatments (1 paper), Alcohol Consumption and Health Effects (1 paper) and Forensic Toxicology and Drug Analysis (1 paper). The work is most often cited by research in Modeling and Simulation (86 citations), Infectious Diseases (223 citations), Animal Science and Zoology (57 citations), Hepatology (14 citations) and Neurology (18 citations). Mohammad Abdallat has collaborated with scholars based in Jordan, United States and Netherlands. Frequent co-authors include Aktham Haddadin, Sultan Alqasrawi, Soha El Sheikh, Tarek Alsanouri, Bart L. Haagmans, Mart M. Lamers, Sami Sheikh Ali, V. Stalin Raj, Dean D. Erdman and Marion Koopmans. Their work appears in journals such as Journal of Surgical Oncology, The Annals of Thoracic Surgery, Emerging infectious diseases, Eastern Mediterranean Health Journal and SHILAP Revista de lepidopterología.

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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