Magbubah Essack

4.8k total citations · 1 hit paper
81 papers, 2.9k citations indexed

About

Magbubah Essack is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Magbubah Essack has authored 81 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 15 papers in Cancer Research and 11 papers in Computational Theory and Mathematics. Recurrent topics in Magbubah Essack's work include Bioinformatics and Genomic Networks (15 papers), Computational Drug Discovery Methods (11 papers) and Genomics and Phylogenetic Studies (11 papers). Magbubah Essack is often cited by papers focused on Bioinformatics and Genomic Networks (15 papers), Computational Drug Discovery Methods (11 papers) and Genomics and Phylogenetic Studies (11 papers). Magbubah Essack collaborates with scholars based in Saudi Arabia, Serbia and United States. Magbubah Essack's co-authors include Vladimir B. Bajić, Takashi Gojobori, Esma R. Isenović, Milan Obradović, Xin Gao, Alan J. Stewart, Maha A. Thafar, Emina Sudar-Milovanović, Sanja Šoškić and Somayah Albaradei and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Magbubah Essack

79 papers receiving 2.9k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Leptin and Obesity: Role and Clinical Implication

2021 659 citations Milan Obradović, Magbubah Essack et al. Frontiers in Endocrinology profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Magbubah Essack	1.4k	419	415	283	280	81	2.9k
Janice Mayne	1.7k 1.2×	267 0.6×	209 0.5×	349 1.2×	139 0.5×	94	3.7k
Tao Huan	2.9k 2.1×	432 1.0×	148 0.4×	373 1.3×	303 1.1×	150	4.6k
Othman Soufan	3.1k 2.2×	530 1.3×	256 0.6×	794 2.8×	394 1.4×	19	5.0k
Gil Stelzer	2.6k 1.8×	262 0.6×	414 1.0×	620 2.2×	313 1.1×	23	4.5k
Jeong Hyun Lee	1.3k 0.9×	396 0.9×	121 0.3×	184 0.7×	447 1.6×	117	3.6k
Inbar Plaschkes	3.1k 2.2×	305 0.7×	422 1.0×	670 2.4×	332 1.2×	30	5.2k
Dvir Dahary	2.9k 2.1×	226 0.5×	333 0.8×	744 2.6×	270 1.0×	21	4.7k
Carlos Guijas	1.7k 1.2×	268 0.6×	137 0.3×	208 0.7×	186 0.7×	36	2.5k
Federica Madia	1.2k 0.8×	1.1k 2.6×	105 0.3×	690 2.4×	175 0.6×	44	3.3k
Mathieu Vinken	4.3k 3.1×	692 1.7×	419 1.0×	484 1.7×	1.0k 3.7×	250	7.8k

Countries citing papers authored by Magbubah Essack

Since Specialization

Citations

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

Fields of papers citing papers by Magbubah Essack

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magbubah Essack

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

All Works

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20 of 20 papers shown

Obradović, Milan, Sonja Zafirović, Magbubah Essack, et al.. (2024). The involvement of Akt, mTOR, and S6K in the in vivo effect of IGF-1 on the regulation of rat cardiac Na+/K+-ATPase. Molecular Biology Reports. 51(1). 517–517. 3 indexed citations

Mačvanin, Mirjana, Zoran Gluvić, Jelena Radovanović, et al.. (2023). New insights on the cardiovascular effects of IGF-1. Frontiers in Endocrinology. 14. 1142644–1142644. 45 indexed citations

Thafar, Maha A., Somayah Albaradei, Mahmut Uludağ, et al.. (2023). OncoRTT: Predicting novel oncology-related therapeutic targets using BERT embeddings and omics features. Frontiers in Genetics. 14. 1139626–1139626. 4 indexed citations

Albaradei, Somayah, Olaa Motwalli, Maha A. Thafar, et al.. (2023). A deep learning model predicts the presence of diverse cancer types using circulating tumor cells. Scientific Reports. 13(1). 21114–21114. 5 indexed citations

Thafar, Maha A., et al.. (2023). Exploiting machine learning models to identify novel Alzheimer’s disease biomarkers and potential targets. Scientific Reports. 13(1). 4979–4979. 37 indexed citations

Bajić, Vladan, Vladan Bajić, Adil Salhi, et al.. (2022). DES-Amyloidoses “Amyloidoses through the looking-glass”: A knowledgebase developed for exploring and linking information related to human amyloid-related diseases. PLoS ONE. 17(7). e0271737–e0271737. 1 indexed citations

Albaradei, Somayah, Maha A. Thafar, Asim Alsaedi, et al.. (2021). Machine learning and deep learning methods that use omics data for metastasis prediction. Computational and Structural Biotechnology Journal. 19. 5008–5018. 103 indexed citations

Albaradei, Somayah, Francesco Napolitano, Maha A. Thafar, et al.. (2021). MetaCancer: A deep learning-based pan-cancer metastasis prediction model developed using multi-omics data. Computational and Structural Biotechnology Journal. 19. 4404–4411. 32 indexed citations

Thafar, Maha A., Rawan S. Olayan, Somayah Albaradei, et al.. (2021). DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learning. Journal of Cheminformatics. 13(1). 71–71. 49 indexed citations

10.

Bajić, Vladan, Vladan Bajić, Magbubah Essack, et al.. (2020). The X Files: “The Mystery of X Chromosome Instability in Alzheimer’s Disease”. Frontiers in Genetics. 10. 1368–1368. 24 indexed citations

11.

Zarić, Božidarka, Jelena Radovanović, Zoran Gluvić, et al.. (2020). Atherosclerosis Linked to Aberrant Amino Acid Metabolism and Immunosuppressive Amino Acid Catabolizing Enzymes. Frontiers in Immunology. 11. 551758–551758. 65 indexed citations

12.

Bokhari, Ameerah, Magbubah Essack, Feras F. Lafi, et al.. (2019). Bioprospecting desert plant Bacillus endophytic strains for their potential to enhance plant stress tolerance. Scientific Reports. 9(1). 18154–18154. 88 indexed citations

13.

Soufan, Othman, Wail Ba-Alawi, Arturo Magana-Mora, Magbubah Essack, & Vladimir B. Bajić. (2018). DPubChem: a web tool for QSAR modeling and high-throughput virtual screening. Scientific Reports. 8(1). 9110–9110. 39 indexed citations

14.

Salhi, Adil, Rozaimi Razali, Aleksandar Radovanović, et al.. (2018). DES-Mutation: System for Exploring Links of Mutations and Diseases. Scientific Reports. 8(1). 13359–13359. 13 indexed citations

15.

Salhi, Adil, Magbubah Essack, Tanvir Alam, et al.. (2017). DES-ncRNA: A knowledgebase for exploring information about human micro and long noncoding RNAs based on literature-mining. RNA Biology. 14(7). 963–971. 19 indexed citations

16.

Nielsen, Jens, John Archer, Magbubah Essack, et al.. (2017). Building a bio-based industry in the Middle East through harnessing the potential of the Red Sea biodiversity. Applied Microbiology and Biotechnology. 101(12). 4837–4851. 10 indexed citations

17.

Ba-Alawi, Wail, Othman Soufan, Magbubah Essack, Panos Kalnis, & Vladimir B. Bajić. (2016). DASPfind: new efficient method to predict drug–target interactions. Journal of Cheminformatics. 8(1). 15–15. 69 indexed citations

18.

Ouf, Amged, Ahmed Sayed, Mohamed A. Ghazy, et al.. (2014). Aerobic methanotrophic communities at the Red Sea brine-seawater interface. Frontiers in Microbiology. 5. 487–487. 28 indexed citations

19.

Essack, Magbubah, Cameron Ross MacPherson, Sebastian Schmeier, & Vladimir B. Bajić. (2012). Identification of estrogen responsive genes using esophageal squamous cell carcinoma (ESCC) as a model. BMC Systems Biology. 6(1). 135–135. 3 indexed citations

20.

Schmeier, Sebastian, Cameron Ross MacPherson, Magbubah Essack, et al.. (2009). Deciphering the transcriptional circuitry of microRNA genes expressed during human monocytic differentiation. BMC Genomics. 10(1). 595–595. 63 indexed citations

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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