Hamid Suhail

429 total citations
15 papers, 329 citations indexed

About

Hamid Suhail is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Hamid Suhail has authored 15 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 2 papers in Oncology. Recurrent topics in Hamid Suhail's work include Multiple Sclerosis Research Studies (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and interferon and immune responses (2 papers). Hamid Suhail is often cited by papers focused on Multiple Sclerosis Research Studies (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and interferon and immune responses (2 papers). Hamid Suhail collaborates with scholars based in United States, Poland and China. Hamid Suhail's co-authors include Shailendra Giri, Jaspreet Singh, Ramandeep Rattan, Ashok Kumar, Vaithilingaraja Arumugaswami, Sneha Singh, Philip E. Pellett, Pawan Kumar Singh, Ashutosh K. Mangalam and Indrani Datta and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Hamid Suhail

13 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamid Suhail United States 9 163 87 57 47 35 15 329
Ranya Hassan Egypt 9 127 0.8× 209 2.4× 38 0.7× 43 0.9× 24 0.7× 22 486
Gisella Guerrera Italy 10 163 1.0× 104 1.2× 38 0.7× 25 0.5× 20 0.6× 20 425
Yihao Wang China 10 173 1.1× 113 1.3× 16 0.3× 71 1.5× 28 0.8× 27 329
Ali Gorgin Karaji Iran 11 107 0.7× 89 1.0× 14 0.2× 58 1.2× 37 1.1× 32 319
Anusha Angajala United States 6 216 1.3× 127 1.5× 19 0.3× 57 1.2× 95 2.7× 13 483
Sze Men Choi Belgium 7 340 2.1× 183 2.1× 20 0.4× 74 1.6× 70 2.0× 9 486
Bernard Abrenica Canada 11 270 1.7× 41 0.5× 16 0.3× 48 1.0× 23 0.7× 19 445
Wengui Yu United States 7 208 1.3× 110 1.3× 48 0.8× 32 0.7× 40 1.1× 8 491
Yujuan Qi China 12 188 1.2× 51 0.6× 25 0.4× 82 1.7× 32 0.9× 47 395

Countries citing papers authored by Hamid Suhail

Since Specialization
Citations

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

Fields of papers citing papers by Hamid Suhail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamid Suhail

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

All Works

15 of 15 papers shown
1.
Suhail, Hamid, Md. Ataur Rahman, Ana C. deCarvalho, et al.. (2025). A novel HPβCD-Cu(DDC)2 delivery system in patient derived orthotopic xenograft targeting MGMT-mediated temozolomide resistance in glioblastoma. Scientific Reports. 15(1). 32869–32869.
2.
Suhail, Hamid, Hongmei Peng, Khalid Matrougui, & Nour‐Eddine Rhaleb. (2024). Ac-SDKP attenuates ER stress-stimulated collagen production in cardiac fibroblasts by inhibiting CHOP-mediated NF-κB expression. Frontiers in Pharmacology. 15. 1352222–1352222. 1 indexed citations
3.
Suhail, Hamid, et al.. (2023). Extension Magnitude and Ratio of Central and South Segments in South Atlantic Margins. Geotectonics. 57(4). 460–470.
4.
Zahoor, Insha, Hamid Suhail, Indrani Datta, et al.. (2022). Blood-based untargeted metabolomics in relapsing-remitting multiple sclerosis revealed the testable therapeutic target. Proceedings of the National Academy of Sciences. 119(25). e2123265119–e2123265119. 42 indexed citations
5.
Suhail, Hamid, Hongmei Peng, Jiang Xu, et al.. (2022). Knockout of ACE-N facilitates improved cardiac function after myocardial infarction. SHILAP Revista de lepidopterología. 3. 100024–100024. 2 indexed citations
6.
Singh, Sneha, Pawan Kumar Singh, Hamid Suhail, et al.. (2020). AMP-Activated Protein Kinase Restricts Zika Virus Replication in Endothelial Cells by Potentiating Innate Antiviral Responses and Inhibiting Glycolysis. The Journal of Immunology. 204(7). 1810–1824. 76 indexed citations
7.
Singh, Jaipaul, Mirela Cerghet, Laila Poisson, et al.. (2018). Urinary and Plasma Metabolomics Identify the Distinct Metabolic Profile of Disease State in Chronic Mouse Model of Multiple Sclerosis. Journal of Neuroimmune Pharmacology. 14(2). 241–250. 18 indexed citations
8.
Giri, Shailendra, Hamid Suhail, Jaspreet Singh, Ashok Kumar, & Ramandeep Rattan. (2018). Early burst of glycolysis in microglia regulates mitochondrial dysfunction in oligodendrocytes under neuro-inflammation. The Journal of Immunology. 200(Supplement_1). 49.16–49.16. 2 indexed citations
9.
Wei, Xiaoli, Biyun Shi, Imhoi Koo, et al.. (2017). Analysis of stable isotope assisted metabolomics data acquired by GC-MS. Analytica Chimica Acta. 980. 25–32. 16 indexed citations
10.
Mangalam, Ashutosh K., Ramandeep Rattan, Hamid Suhail, et al.. (2016). AMP-Activated Protein Kinase Suppresses Autoimmune Central Nervous System Disease by Regulating M1-Type Macrophage–Th17 Axis. The Journal of Immunology. 197(3). 747–760. 29 indexed citations
11.
Singh, Jaspreet, et al.. (2016). Metformin‐induced mitochondrial function and ABCD2 up‐regulation in X‐linked adrenoleukodystrophy involves AMP‐activated protein kinase. Journal of Neurochemistry. 138(1). 86–100. 17 indexed citations
12.
Poisson, Laila, Hamid Suhail, Jaspreet Singh, et al.. (2015). Untargeted Plasma Metabolomics Identifies Endogenous Metabolite with Drug-like Properties in Chronic Animal Model of Multiple Sclerosis. Journal of Biological Chemistry. 290(52). 30697–30712. 78 indexed citations
13.
Singh, Jaspreet, Hamid Suhail, & Shailendra Giri. (2015). Loss of AMP‐Activated Protein Kinase Induces Mitochondrial Dysfunction and Proinflammatory Response in Unstimulated Abcd1‐Knockout Mice Mixed Glial Cells. Mediators of Inflammation. 2015(1). 176983–176983. 9 indexed citations
14.
Singh, Jaspreet, Mandar Deshpande, Hamid Suhail, Ramandeep Rattan, & Shailendra Giri. (2015). Targeted Stage-Specific Inflammatory microRNA Profiling in Urine During Disease Progression in Experimental Autoimmune Encephalomyelitis: Markers of Disease Progression and Drug Response. Journal of Neuroimmune Pharmacology. 11(1). 84–97. 38 indexed citations
15.
Giri, Shailendra, Jaspreet Singh, Hamid Suhail, et al.. (2014). Profile of circulatory metabolites in chronic mouse model of multiple sclerosis using untargeted global metabolomics (THER3P.883). The Journal of Immunology. 192(Supplement_1). 136.9–136.9. 1 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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