Ibrahim A Naqid

984 citations
60 papers · 349 indexed · h-index 11
Topics
COVID-19 Clinical Research Studies (11 papers)SARS-CoV-2 and COVID-19 Research (10 papers)COVID-19 epidemiological studies (10 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
Partner nations
IraqUnited KingdomCyprus

In The Last Decade

Ibrahim A Naqid

52 papers receiving 343 citations

Peers

Ibrahim A Naqid
Comparison fields: 5 of 73
  • Infectious Diseases 108
  • Epidemiology 86
  • Animal Science and Zoology 42
  • Molecular Biology 39
  • Food Science 35
Replace Sonam Wangchuk with:
Sonam Wangchuk Thailand
Benjamin J. Parcell United Kingdom
Marzieh Jamalidoust Iran
Nadim Sharif Bangladesh
Patricia E. Ferguson Australia
Ana Verena Almeida Mendes Brazil
Marjolein Damen Netherlands
Janice Lo China
Hayati Demiraslan Türkiye
C. Paul Morris United States
Ibrahim A Naqid relative to Sonam Wangchuk Thailand Sonam Wangchuk's profile →
Citations per field
00.5×1.5×1.9×
Sonam Wangchuk · 1×
Citations per year

Countries citing papers authored by Ibrahim A Naqid

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim A Naqid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ibrahim A Naqid. 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 Ibrahim A Naqid. The network helps show where Ibrahim A Naqid may publish in the future.

Co-authorship network of co-authors of Ibrahim A Naqid

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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11 8
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About Ibrahim A Naqid

Ibrahim A Naqid is a scholar working on Modeling and Simulation, Infectious Diseases and Hepatology, having authored 60 papers that have together received 349 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (11 papers), SARS-CoV-2 and COVID-19 Research (10 papers) and COVID-19 epidemiological studies (10 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (19 citations), Molecular Medicine (31 citations) and Infectious Diseases (108 citations). Ibrahim A Naqid has collaborated with scholars based in Iraq, United Kingdom and Cyprus. Frequent co-authors include Nawfal R Hussein, Kevin C. Gough, Jonathan P. Owen, Ben C. Maddison, Roberto M. La Ragione, Neil Foster, David S. Gardner, Nawfal R Hussein, Mahde Assafi and Robert Davies. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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