Fahd Al‐Mulla

24.6k total citations
328 papers, 6.9k citations indexed

About

Fahd Al‐Mulla is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Fahd Al‐Mulla has authored 328 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Molecular Biology, 69 papers in Genetics and 61 papers in Physiology. Recurrent topics in Fahd Al‐Mulla's work include Adipose Tissue and Metabolism (34 papers), Adipokines, Inflammation, and Metabolic Diseases (34 papers) and Lipid metabolism and disorders (23 papers). Fahd Al‐Mulla is often cited by papers focused on Adipose Tissue and Metabolism (34 papers), Adipokines, Inflammation, and Metabolic Diseases (34 papers) and Lipid metabolism and disorders (23 papers). Fahd Al‐Mulla collaborates with scholars based in Kuwait, United States and United Kingdom. Fahd Al‐Mulla's co-authors include Milad S. Bitar, Jehad Abubaker, Mohamed Abu‐Farha, Rasheed Ahmad, Ashraf Al Madhoun, Sardar Sindhu, Thangavel Alphonse Thanaraj, James J. Going, Fatema Al‐Rashed and Hamad Ali and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Fahd Al‐Mulla

312 papers receiving 6.8k citations

Author Peers

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

Author Last Decade Papers Cites
Fahd Al‐Mulla 3.0k 959 917 866 851 328 6.9k
Bing Zhang 2.7k 0.9× 557 0.6× 652 0.7× 652 0.8× 419 0.5× 233 6.1k
John Cijiang He 3.9k 1.3× 778 0.8× 612 0.7× 921 1.1× 398 0.5× 243 10.3k
Eun Young Kim 2.9k 1.0× 651 0.7× 1.1k 1.2× 807 0.9× 444 0.5× 357 8.3k
Yoshitaka Isaka 4.1k 1.4× 1.3k 1.4× 759 0.8× 919 1.1× 386 0.5× 395 12.2k
Lin Li 3.3k 1.1× 340 0.4× 1.0k 1.1× 493 0.6× 512 0.6× 244 6.6k
Ferdinando Nicoletti 4.5k 1.5× 968 1.0× 1.7k 1.9× 958 1.1× 539 0.6× 322 11.8k
Mohammad Hashemi 3.7k 1.2× 327 0.3× 782 0.9× 554 0.6× 388 0.5× 350 7.6k
Mitsuyoshi Urashima 2.5k 0.8× 1.9k 2.0× 1.9k 2.1× 865 1.0× 312 0.4× 222 8.7k
Jeanine J. Houwing‐Duistermaat 2.1k 0.7× 490 0.5× 515 0.6× 741 0.9× 247 0.3× 231 6.9k
Fen Wang 3.6k 1.2× 264 0.3× 1.2k 1.3× 471 0.5× 603 0.7× 277 7.5k

Countries citing papers authored by Fahd Al‐Mulla

Since Specialization
Citations

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

Fields of papers citing papers by Fahd Al‐Mulla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fahd Al‐Mulla. 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 Fahd Al‐Mulla. The network helps show where Fahd Al‐Mulla may publish in the future.

Co-authorship network of co-authors of Fahd Al‐Mulla

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

All Works

20 of 20 papers shown
1.
Al‐Rashed, Fatema, et al.. (2025). Impact of sleep deprivation on monocyte subclasses and function. The Journal of Immunology. 214(3). 347–359. 1 indexed citations
2.
Hasan, Amal, Hossein Arefanian, Sardar Sindhu, et al.. (2024). Differential effects of fish-oil and cocoa-butter based high-fat/high-sucrose diets on endocrine pancreas morphology and function in mice. Frontiers in Endocrinology. 15. 1265799–1265799. 3 indexed citations
3.
Haddad, Dania, et al.. (2024). New-Generation Glucokinase Activators: Potential Game-Changers in Type 2 Diabetes Treatment. International Journal of Molecular Sciences. 25(1). 571–571. 14 indexed citations
4.
Al‐Rashed, Fatema, et al.. (2024). IL-6R (trans-signaling) is a key regulator of reverse cholesterol transport in lipid-laden macrophages. Clinical Immunology. 267. 110351–110351. 1 indexed citations
5.
Al‐Rashed, Fatema, Hossein Arefanian, Ashraf Al Madhoun, et al.. (2024). Neutral Sphingomyelinase 2 Inhibition Limits Hepatic Steatosis and Inflammation. Cells. 13(5). 463–463.
7.
Abu‐Farha, Mohamed, Abdur Rahman, Thangavel Alphonse Thanaraj, et al.. (2023). LRG1 Associates with Iron Deficiency Anemia Markers in Adolescents. Nutrients. 15(14). 3100–3100.
8.
Alqaderi, Hend, Matthew Finkelman, Mohamed Abu‐Farha, et al.. (2023). The relationship between sleep and salivary and serum inflammatory biomarkers in adolescents. Frontiers in Medicine. 10. 1175483–1175483. 9 indexed citations
9.
Hammad, Maha M., Mohamed Abu‐Farha, Prashantha Hebbar, et al.. (2023). The miR-668 binding site variant rs1046322 on WFS1 is associated with obesity in Southeast Asians. Frontiers in Endocrinology. 14. 1185956–1185956. 1 indexed citations
10.
Malik, Md. Zubbair, Arshad Channanath, Sumi Elsa John, et al.. (2023). Disruption in the regulation of casein kinase 2 in circadian rhythm leads to pathological states: cancer, diabetes and neurodegenerative disorders. Frontiers in Molecular Neuroscience. 16. 1217992–1217992. 2 indexed citations
11.
Al‐Mulla, Fahd, et al.. (2023). An Overview of the Role of Furin in Type 2 Diabetes. Cells. 12(19). 2407–2407. 4 indexed citations
12.
Baskaradoss, Jagan Kumar, Mary Tavares, Fahd Al‐Mulla, et al.. (2022). Association between Frequency of Toothbrushing and Metabolic Syndrome among Adolescents: A 5-Year Follow-Up Study. International Journal of Environmental Research and Public Health. 19(1). 508–508. 6 indexed citations
13.
Hasan, Amal, Hossein Arefanian, Arshad Channanath, et al.. (2022). Association of COVID-19 Vaccines ChAdOx1-S and BNT162b2 with Circulating Levels of Coagulation Factors and Antithrombin. Vaccines. 10(8). 1226–1226. 1 indexed citations
14.
Al‐Rashed, Fatema, et al.. (2021). Candida albicans Induces Foaming and Inflammation in Macrophages through FABP4: Its Implication for Atherosclerosis. Biomedicines. 9(11). 1567–1567. 9 indexed citations
15.
Eaaswarkhanth, Muthukrishnan, et al.. (2020). Genome-Wide Selection Scan in an Arabian Peninsula Population Identifies a TNKS Haplotype Linked to Metabolic Traits and Hypertension. Genome Biology and Evolution. 12(3). 77–87. 10 indexed citations
17.
Ren, Gang, Stavroula Baritaki, Himangi Marathe, et al.. (2012). Polycomb Protein EZH2 Regulates Tumor Invasion via the Transcriptional Repression of the Metastasis Suppressor RKIP in Breast and Prostate Cancer. Cancer Research. 72(12). 3091–3104. 184 indexed citations
18.
Al‐Mulla, Fahd, et al.. (2011). Formalin-Fixed Paraffin-Embedded Tissues. Methods in molecular biology. 7 indexed citations
19.
Al‐Mulla, Fahd, Milad S. Bitar, May Al‐Maghrebi, et al.. (2011). Raf Kinase Inhibitor Protein RKIP Enhances Signaling by Glycogen Synthase Kinase-3β. Cancer Research. 71(4). 1334–1343. 96 indexed citations
20.
Dallol, Ashraf, Wendy N. Cooper, Fahd Al‐Mulla, et al.. (2007). Depletion of the Ras Association Domain Family 1, Isoform A–Associated Novel Microtubule-Associated Protein, C19ORF5/MAP1S, Causes Mitotic Abnormalities. Cancer Research. 67(2). 492–500. 42 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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