Mohammad Abdallat

400 citations
9 papers · 280 indexed · h-index 5
Topics
SARS-CoV-2 and COVID-19 Research (2 papers)COVID-19 epidemiological studies (2 papers)Lung Cancer Diagnosis and Treatment (2 papers)
Journals
SHILAP Revista de lepidopterologíaEmerging infectious diseasesThe Annals of Thoracic Surgery

In The Last Decade

Mohammad Abdallat

8 papers receiving 266 citations

Peers

Mohammad Abdallat
Comparison fields: 5 of 57
  • Infectious Diseases 223
  • Modeling and Simulation 86
  • Animal Science and Zoology 57
  • Epidemiology 31
  • Pulmonary and Respiratory Medicine 26
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-authorship network of co-authors of Mohammad Abdallat

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Abdallat. A scholar is included among the top collaborators of Mohammad Abdallat 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 Mohammad Abdallat. Mohammad Abdallat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 0
2 2
3 15
4 1
5 33
6 10
7 7
8 211
9 1

About Mohammad Abdallat

Mohammad Abdallat is a scholar working on Microbiology, Modeling and Simulation and Toxicology, having authored 9 papers that have together received 280 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 epidemiological studies (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Modeling and Simulation (86 citations), Infectious Diseases (223 citations) and Animal Science and Zoology (57 citations). Mohammad Abdallat has collaborated with scholars based in Jordan, United States and Netherlands. Frequent co-authors include Aktham Haddadin, Sultan Alqasrawi, Tarek Alsanouri, Soha El Sheikh, Mazhar Khalil, V. Stalin Raj, Sami Sheikh Ali, Xiaoyan Lu, Dean D. Erdman and Marion Koopmans. Their work appears in journals such as SHILAP Revista de lepidopterología, Emerging infectious diseases and The Annals of Thoracic Surgery.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026