Rawan S. Olayan

481 total citations
4 papers, 332 citations indexed

About

Rawan S. Olayan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Rawan S. Olayan has authored 4 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 2 papers in Pharmacology. Recurrent topics in Rawan S. Olayan's work include Computational Drug Discovery Methods (4 papers), Bioinformatics and Genomic Networks (4 papers) and Pharmacogenetics and Drug Metabolism (2 papers). Rawan S. Olayan is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Bioinformatics and Genomic Networks (4 papers) and Pharmacogenetics and Drug Metabolism (2 papers). Rawan S. Olayan collaborates with scholars based in Saudi Arabia and United States. Rawan S. Olayan's co-authors include Vladimir B. Bajić, Haitham Ashoor, Maha A. Thafar, Magbubah Essack, Xin Gao, Somayah Albaradei and Takashi Gojobori and has published in prestigious journals such as Bioinformatics, Journal of Cheminformatics and King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology).

In The Last Decade

Rawan S. Olayan

4 papers receiving 331 citations

Peers

Countries citing papers authored by Rawan S. Olayan

Since Specialization

Citations

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

Fields of papers citing papers by Rawan S. Olayan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rawan S. Olayan. 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 Rawan S. Olayan. The network helps show where Rawan S. Olayan may publish in the future.

Co-authorship network of co-authors of Rawan S. Olayan

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

All Works

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4 of 4 papers shown

#	Work	Indexed citations
1	DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learning 2021 ·Journal of Cheminformatics ·Maha A. Thafar, Rawan S. Olayan, Somayah Albaradei, Vladimir B. Bajić, Takashi Gojobori, Magbubah Essack, Xin Gao	49
2	DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques 2020 ·Journal of Cheminformatics ·Maha A. Thafar, Rawan S. Olayan, Haitham Ashoor, Somayah Albaradei, Vladimir B. Bajić, Xin Gao, Takashi Gojobori, Magbubah Essack	98
3	Computational Drug-target Interaction Prediction based on Graph Embedding and Graph Mining 2020 ·King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) ·Maha A. Thafar, (unknown), Rawan S. Olayan, Haitham Ashoor, Magbubah Essack, Vladimir B. Bajić	8
4	DDR: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches 2017 ·Bioinformatics ·Rawan S. Olayan, Haitham Ashoor, Vladimir B. Bajić	177

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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