Fahad Al-Zoghaibi

692 total citations
16 papers, 557 citations indexed

About

Fahad Al-Zoghaibi is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Fahad Al-Zoghaibi has authored 16 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Oncology. Recurrent topics in Fahad Al-Zoghaibi's work include interferon and immune responses (5 papers), Cytokine Signaling Pathways and Interactions (4 papers) and RNA Research and Splicing (3 papers). Fahad Al-Zoghaibi is often cited by papers focused on interferon and immune responses (5 papers), Cytokine Signaling Pathways and Interactions (4 papers) and RNA Research and Splicing (3 papers). Fahad Al-Zoghaibi collaborates with scholars based in Saudi Arabia, United States and United Kingdom. Fahad Al-Zoghaibi's co-authors include Khalid S.A. Khabar, Mohammed N. Al‐Ahdal, Aimin Zhou, Robert H. Silverman, Mohammed Dhalla, Yunus M. Siddiqui, Therese Wiedmer, Ji Zhao, Quansheng Zhou and Peter J. Sims and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Fahad Al-Zoghaibi

15 papers receiving 547 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fahad Al-Zoghaibi Saudi Arabia	12	274	194	99	94	86	16	557
Hairong Chen China	14	233 0.9×	309 1.6×	75 0.8×	112 1.2×	54 0.6×	28	692
Heekyong Bae United States	9	260 0.9×	290 1.5×	191 1.9×	147 1.6×	115 1.3×	10	709
Mitsunari Yamamoto Japan	8	296 1.1×	235 1.2×	114 1.2×	135 1.4×	77 0.9×	13	715
Yongxin Mu China	19	480 1.8×	185 1.0×	235 2.4×	102 1.1×	103 1.2×	33	905
Yasumasa Minoda Japan	12	232 0.8×	325 1.7×	70 0.7×	270 2.9×	37 0.4×	12	664
Krishna Kumar India	13	407 1.5×	437 2.3×	142 1.4×	289 3.1×	74 0.9×	28	946
Keya Bandyopadhyay United States	12	264 1.0×	131 0.7×	71 0.7×	122 1.3×	32 0.4×	17	492
Zhonghua Jiang China	19	551 2.0×	131 0.7×	118 1.2×	86 0.9×	22 0.3×	61	868
Yinong Duan China	17	229 0.8×	172 0.9×	177 1.8×	62 0.7×	230 2.7×	52	748
Yunsheng Yuan China	13	262 1.0×	84 0.4×	124 1.3×	86 0.9×	36 0.4×	47	527

Countries citing papers authored by Fahad Al-Zoghaibi

Since Specialization

Citations

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

Fields of papers citing papers by Fahad Al-Zoghaibi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fahad Al-Zoghaibi. 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 Fahad Al-Zoghaibi. The network helps show where Fahad Al-Zoghaibi may publish in the future.

Co-authorship network of co-authors of Fahad Al-Zoghaibi

This figure shows the co-authorship network connecting the top 25 collaborators of Fahad Al-Zoghaibi. A scholar is included among the top collaborators of Fahad Al-Zoghaibi 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 Fahad Al-Zoghaibi. Fahad Al-Zoghaibi 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

1.

Bakheet, Tala, et al.. (2025). A Computational Recognition Analysis of Promising Prognostic Biomarkers in Breast, Colon and Lung Cancer Patients. International Journal of Molecular Sciences. 26(3). 1017–1017.

2.

Sobeai, Homood M. As, Adam A. A. Sulaiman, Saeed Ahmad, et al.. (2021). Synthesis, characterization, and miRNA-mediated PI3K suppressing activity of novel cisplatin-derived complexes of selenones. Arabian Journal of Chemistry. 14(7). 103245–103245. 7 indexed citations

3.

Alhosaini, Khaled, et al.. (2021). GPCRs: The most promiscuous druggable receptor of the mankind. Saudi Pharmaceutical Journal. 29(6). 539–551. 45 indexed citations

4.

Al‐Qahtani, Ahmed A., Mashael R. Al‐Anazi, Fahad Al-Zoghaibi, et al.. (2017). PARK2 polymorphisms predict disease progression in patients infected with hepatitis C virus.. SHILAP Revista de lepidopterología. 15(6). 824–833. 5 indexed citations

5.

Al-Zoghaibi, Fahad, et al.. (2015). Human Cytokinome Analysis for Interferon Response. Journal of Virology. 89(14). 7108–7119. 14 indexed citations

6.

Al‐Qahtani, Ahmed A., Mashael R. Al‐Anazi, Fahad Al-Zoghaibi, et al.. (2014). The Association of Toll-Like Receptor 4 Polymorphism with Hepatitis C Virus Infection in Saudi Arabian Patients. BioMed Research International. 2014. 1–9. 21 indexed citations

7.

Pekovic‐Vaughan, Vanja, Ian Gibbs‐Seymour, Ewa Markiewicz, et al.. (2011). Conserved cysteine residues in the mammalian lamin A tail are essential for cellular responses to ROS generation. Aging Cell. 10(6). 1067–1079. 78 indexed citations

8.

Al-Zoghaibi, Fahad, et al.. (2006). Bioinformatics and experimental derivation of an efficient hybrid 3′ untranslated region and use in expression active linear DNA with minimum poly(A) region. Gene. 391(1-2). 130–139. 17 indexed citations

9.

Khabar, Khalid S.A., et al.. (2004). Expressed Gene Clusters Associated with Cellular Sensitivity and Resistance Towards Anti-viral and Anti-proliferative Actions of Interferon. Journal of Molecular Biology. 342(3). 833–846. 34 indexed citations

10.

Khabar, Khalid S.A., Yunus M. Siddiqui, Fahad Al-Zoghaibi, et al.. (2003). RNase L Mediates Transient Control of the Interferon Response through Modulation of the Double-stranded RNA-dependent Protein Kinase PKR. Journal of Biological Chemistry. 278(22). 20124–20132. 50 indexed citations

11.

Silverman, Robert H., Aimin Zhou, Beihua Dong, et al.. (2002). Suppression of ovarian carcinoma cell growth in vivo by the interferon-inducible plasma membrane protein, phospholipid scramblase 1.. PubMed. 62(2). 397–402. 54 indexed citations

12.

Zhou, Quansheng, Ji Zhao, Fahad Al-Zoghaibi, et al.. (2000). Transcriptional control of the human plasma membranephospholipid scramblase 1 gene is mediated by interferon-α. Blood. 95(8). 2593–2599. 67 indexed citations

13.

Zhou, Quansheng, Ji Zhao, Fahad Al-Zoghaibi, et al.. (2000). Transcriptional control of the human plasma membranephospholipid scramblase 1 gene is mediated by interferon-α. Blood. 95(8). 2593–2599. 2 indexed citations

14.

Khabar, Khalid S.A., Fahad Al-Zoghaibi, Tsugiya Murayama, et al.. (1997). Interleukin-8 Selectively Enhances Cytopathic Effect (CPE) Induced by Positive-Strand RNA Viruses in the Human WISH Cell Line. Biochemical and Biophysical Research Communications. 235(3). 774–778. 23 indexed citations

15.

Khabar, Khalid S.A., Fahad Al-Zoghaibi, Mohammed N. Al‐Ahdal, et al.. (1997). The α Chemokine, Interleukin 8, Inhibits the Antiviral Action of Interferon α. The Journal of Experimental Medicine. 186(7). 1077–1085. 113 indexed citations

16.

Khabar, Khalid S.A., et al.. (1996). MTS Interferon Assay: A Simplified Cellular Dehydrogenase Assay for Interferon Activity Using a Water-Soluble Tetrazolium Salt. Journal of Interferon & Cytokine Research. 16(1). 31–33. 27 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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