Arwa Bin Raies

1.7k citations
11 papers · 722 indexed · 1 hit paper · h-index 9
Topics
Biomedical Text Mining and Ontologies (6 papers)Bioinformatics and Genomic Networks (6 papers)Computational Drug Discovery Methods (5 papers)

In The Last Decade

Arwa Bin Raies

11 papers receiving 698 citations

Hit Papers

In silico toxicology: computational methods for the predi...20162026201920222016100200300400

Peers

Arwa Bin Raies
Comparison fields: 5 of 121
  • Computational Theory and Mathematics 340
  • Molecular Biology 297
  • Materials Chemistry 119
  • Health, Toxicology and Mutagenesis 66
  • Organic Chemistry 64
Replace Heather L. Ciallella with:
Heather L. Ciallella United States
Suman Chakravarti United States
Tomasz Magdziarz Poland
Iurii Sushko Germany
Marlene T. Kim United States
Serena Manganelli Italy
Vinay Kumar India
Wolfgang Muster Switzerland
Arwa Bin Raies relative to Heather L. Ciallella United States Heather L. Ciallella's profile →
Citations per field
00.5×10×16.8×
Heather L. Ciallella · 1×
Citations per year

Countries citing papers authored by Arwa Bin Raies

Since Specialization
Citations

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

Fields of papers citing papers by Arwa Bin Raies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arwa Bin Raies. 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 Arwa Bin Raies. The network helps show where Arwa Bin Raies may publish in the future.

Co-authorship network of co-authors of Arwa Bin Raies

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 8
2 26
3 3
4 2
5 92
6 8
7 13
8 48
9
In silico toxicology: computational methods for the prediction of chemical toxicitybreakdown →
497
10 13
11 12

About Arwa Bin Raies

Arwa Bin Raies is a scholar working on Computational Theory and Mathematics, Molecular Biology and Analytical Chemistry, having authored 11 papers that have together received 722 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (6 papers), Bioinformatics and Genomic Networks (6 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Computational Theory and Mathematics (340 citations), Pharmacology (49 citations) and Small Animals (38 citations). Arwa Bin Raies has collaborated with scholars based in Saudi Arabia, Australia and Serbia. Frequent co-authors include Vladimir B. Bajić, Magbubah Essack, Somayah Albaradei, Maha A. Thafar, Roberto Incitti, Hicham Mansour, Dimitrios Vitsios, Ryan S. Dhindsa, Pamela Hill and Ola Engkvist. Their work appears in journals such as Nucleic Acids Research, 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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