Mariam Al Mulla

858 citations
5 papers · 124 indexed · h-index 4
Topics
SARS-CoV-2 and COVID-19 Research (3 papers)Animal Virus Infections Studies (2 papers)Viral gastroenteritis research and epidemiology (1 paper)
Journals
SHILAP Revista de lepidopterologíaEmerging infectious diseasesVirus Genes
Partner nations
United StatesQatarIndia

In The Last Decade

Mariam Al Mulla

5 papers receiving 118 citations

Peers

Mariam Al Mulla
Comparison fields: 5 of 37
  • Infectious Diseases 103
  • Animal Science and Zoology 50
  • Modeling and Simulation 36
  • Food Science 15
  • Agronomy and Crop Science 12
Replace Jamiu O. Oladipo with:
Jamiu O. Oladipo Hong Kong
Suvang Trivedi United States
Amy Dighe Switzerland
Mariken van der Lubben Netherlands
Uwem E. George Nigeria
Duan-hua Zhou China
Mary Lou Fleissner United States
Apaporn Rodpan Thailand
Fágner Henrique Heldt Brazil
Sabine Maritschnik Austria
Mariam Al Mulla relative to Jamiu O. Oladipo Hong Kong Jamiu O. Oladipo's profile →
Citations per field
00.5×1.7×
Jamiu O. Oladipo · 1×
Citations per year

Countries citing papers authored by Mariam Al Mulla

Since Specialization
Citations

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

Fields of papers citing papers by Mariam Al Mulla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mariam Al Mulla. 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 Mariam Al Mulla. The network helps show where Mariam Al Mulla may publish in the future.

Co-authorship network of co-authors of Mariam Al Mulla

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 3
2 7
3 21
4 34
5 59

About Mariam Al Mulla

Mariam Al Mulla is a scholar working on Modeling and Simulation, Animal Science and Zoology and Infectious Diseases, having authored 5 papers that have together received 124 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Animal Virus Infections Studies (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Modeling and Simulation (36 citations), Infectious Diseases (103 citations) and Animal Science and Zoology (50 citations). Mariam Al Mulla has collaborated with scholars based in United States, Qatar and India. Frequent co-authors include Farida Al Hosani, Yassir Mohammed Eltahir, Aron J. Hall, Daniel K. W. Chu, Ranawaka A. P. M. Perera, Malik Peiris, Leo L. M. Poon, C. Chellaswamy, Marie E. Killerby and Ganesh Babu R.. Their work appears in journals such as SHILAP Revista de lepidopterología, Emerging infectious diseases and Virus Genes.

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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