Mona Alshahrani

709 total citations
16 papers, 341 citations indexed

About

Mona Alshahrani is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Mona Alshahrani has authored 16 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Mona Alshahrani's work include Biomedical Text Mining and Ontologies (5 papers), Bioinformatics and Genomic Networks (4 papers) and Computational Drug Discovery Methods (3 papers). Mona Alshahrani is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Bioinformatics and Genomic Networks (4 papers) and Computational Drug Discovery Methods (3 papers). Mona Alshahrani collaborates with scholars based in Saudi Arabia, Japan and India. Mona Alshahrani's co-authors include Robert Hoehndorf, Magbubah Essack, Maha A. Thafar, Isra Al-Turaiki, Tahani Mazyad Almutairi, Akira R. Kinjo, Asif M. Khan, Núria Queralt-Rosiñach, Somayah Albaradei and Xin Gao and has published in prestigious journals such as Bioinformatics, Scientific Reports and Medicine.

In The Last Decade

Mona Alshahrani

14 papers receiving 335 citations

Peers

Countries citing papers authored by Mona Alshahrani

Since Specialization

Citations

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

Fields of papers citing papers by Mona Alshahrani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mona Alshahrani. 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 Mona Alshahrani. The network helps show where Mona Alshahrani may publish in the future.

Co-authorship network of co-authors of Mona Alshahrani

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Cross-sectional study for assessment of knowledge, attitudes and practices of chronic kidney disease patients toward potassium-rich diet intake in Jazan-Saudi Arabia 2025 ·Medicine ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Mona Alshahrani	0
2	Prevalence and assessment of risk factors of chronic kidney disease in the ASIR region of Saudi Arabia 2024 ·Annals of Medicine and Surgery ·Mona Alshahrani, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	2
3	OncoRTT: Predicting novel oncology-related therapeutic targets using BERT embeddings and omics features 2023 ·Frontiers in Genetics ·Maha A. Thafar, Somayah Albaradei, Mahmut Uludağ, Mona Alshahrani, Takashi Gojobori, Magbubah Essack, Xin Gao	4
4	Adherence of Type 2 Diabetic Patients to Antidiabetic Medications and its Associated Factors in Najran Armed Forces Hospital, Saudi Arabia 2023 ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Mona Alshahrani, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	0
5	Affinity2Vec: drug-target binding affinity prediction through representation learning, graph mining, and machine learning 2022 ·Scientific Reports ·Maha A. Thafar, Mona Alshahrani, Somayah Albaradei, Takashi Gojobori, Magbubah Essack, Xin Gao	55
6	Diagnosis of Histopathological Images to Distinguish Types of Malignant Lymphomas Using Hybrid Techniques Based on Fusion Features 2022 ·Electronics ·Zeyad Ghaleb Al-Mekhlafi, Ebrahim Mohammed Senan, Badiea Abdulkarem Mohammed, Meshari Alazmi, Abdulaziz M. Alayba, Abdulrahman Alreshidi, Mona Alshahrani	16
7	Combining biomedical knowledge graphs and text to improve predictions for drug-target interactions and drug-indications 2022 ·PeerJ ·Mona Alshahrani, Abdullah Almansour, (unknown), Maha A. Thafar, Mahmut Uludağ, Magbubah Essack, Robert Hoehndorf	6
8	Hybrid Techniques for Diagnosis with WSIs for Early Detection of Cervical Cancer Based on Fusion Features 2022 ·Applied Sciences ·Badiea Abdulkarem Mohammed, Ebrahim Mohammed Senan, Zeyad Ghaleb Al-Mekhlafi, Meshari Alazmi, Abdulaziz M. Alayba, Adwan Alanazi, Abdulrahman Alreshidi, Mona Alshahrani	24
9	Application and evaluation of knowledge graph embeddings in biomedical data 2021 ·PeerJ Computer Science ·Mona Alshahrani, Maha A. Thafar, Magbubah Essack	26
10	Assessing the Outcome of Adult Kidney Transplantation from a Deceased Expanded Criteria Donor: A Descriptive Study 2020 ·Cureus ·Mona Alshahrani, (unknown), (unknown)	1
11	Semantic Disease Gene Embeddings (SmuDGE): phenotype-based disease gene prioritization without phenotypes 2018 ·Bioinformatics ·Mona Alshahrani, Robert Hoehndorf	34
12	PATC: Parallel Arabic Text Classifier 2018 ·Mona Alshahrani, Shurug Al-Khalifa	1
13	Neuro-symbolic representation learning on biological knowledge graphs 2017 ·Bioinformatics ·Mona Alshahrani, Asif M. Khan, (unknown), Akira R. Kinjo, Núria Queralt-Rosiñach, Robert Hoehndorf	86
14	DANNP: an efficient artificial neural network pruning tool 2017 ·PeerJ Computer Science ·Mona Alshahrani, Othman Soufan, Arturo Magana-Mora, Vladimir B. Bajić	14
15	Building predictive models for MERS-CoV infections using data mining techniques 2016 ·Journal of Infection and Public Health ·Isra Al-Turaiki, Mona Alshahrani, Tahani Mazyad Almutairi	44
16	The flora phenotype ontology (FLOPO): tool for integrating morphological traits and phenotypes of vascular plants 2016 ·Journal of Biomedical Semantics ·Robert Hoehndorf, Mona Alshahrani, Georgios V. Gkoutos, George Gosline, Quentin Groom, Thomas Hamann, Jens Kattge, Sylvia Mota de Oliveira, Marco Schmidt, (unknown), Erik Smets, Rutger Vos, Claus Weiland	28

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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