Faiyaz Ahmad

5.9k total citations · 2 hit papers
53 papers, 4.7k citations indexed

About

Faiyaz Ahmad is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pharmacology. According to data from OpenAlex, Faiyaz Ahmad has authored 53 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 10 papers in Cardiology and Cardiovascular Medicine and 9 papers in Pharmacology. Recurrent topics in Faiyaz Ahmad's work include Phosphodiesterase function and regulation (28 papers), Protein Tyrosine Phosphatases (13 papers) and Receptor Mechanisms and Signaling (9 papers). Faiyaz Ahmad is often cited by papers focused on Phosphodiesterase function and regulation (28 papers), Protein Tyrosine Phosphatases (13 papers) and Receptor Mechanisms and Signaling (9 papers). Faiyaz Ahmad collaborates with scholars based in United States, Sweden and Qatar. Faiyaz Ahmad's co-authors include Vincent C. Manganiello, Barry J. Goldstein, Jay H. Chung, Hengming Ke, Donald H. Maurice, B. J. Goldstein, Yousheng Wang, Pei-Ming Li, Eva Degerman and Alexandra L. Brown and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Faiyaz Ahmad

51 papers receiving 4.7k citations

Hit Papers

Resveratrol Ameliorates Aging-Related Metabolic Phenotype... 2012 2026 2016 2021 2012 2014 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faiyaz Ahmad United States 32 3.3k 1.2k 749 612 593 53 4.7k
Bingbing Jiang United States 29 2.6k 0.8× 1.4k 1.2× 499 0.7× 595 1.0× 1.1k 1.8× 42 4.9k
Ming‐Hui Zou United States 42 3.1k 1.0× 1.8k 1.5× 754 1.0× 335 0.5× 1.1k 1.8× 82 6.2k
Hou‐Zao Chen China 42 2.7k 0.8× 1.2k 1.0× 677 0.9× 1.3k 2.1× 778 1.3× 109 5.7k
Shanqin Xu United States 25 2.2k 0.7× 1.5k 1.3× 519 0.7× 714 1.2× 1.1k 1.8× 38 4.6k
Zhiqiang Ma China 45 2.7k 0.8× 533 0.5× 518 0.7× 312 0.5× 631 1.1× 113 5.1k
Ming-Hui Zou United States 31 2.3k 0.7× 1.3k 1.1× 550 0.7× 213 0.3× 987 1.7× 38 4.8k
Ji Li China 35 2.5k 0.8× 878 0.8× 312 0.4× 273 0.4× 741 1.2× 72 4.2k
Li Qiang United States 32 2.2k 0.7× 1.9k 1.6× 291 0.4× 681 1.1× 1.4k 2.4× 68 4.6k
Isao Usui Japan 35 2.0k 0.6× 1.6k 1.4× 538 0.7× 301 0.5× 1.7k 2.9× 103 4.8k
Tony J. Verbeuren France 35 2.3k 0.7× 2.4k 2.1× 634 0.8× 606 1.0× 1.0k 1.8× 119 7.1k

Countries citing papers authored by Faiyaz Ahmad

Since Specialization
Citations

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

Fields of papers citing papers by Faiyaz Ahmad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faiyaz Ahmad

This figure shows the co-authorship network connecting the top 25 collaborators of Faiyaz Ahmad. A scholar is included among the top collaborators of Faiyaz Ahmad 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 Faiyaz Ahmad. Faiyaz Ahmad 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.
Ericsson, Johan, et al.. (2022). Understanding the Mechanism of Diabetes Mellitus in a LRBA-Deficient Patient. Biology. 11(4). 612–612. 3 indexed citations
2.
Park, Sung-Jun, Faiyaz Ahmad, Andrew Philp, et al.. (2021). Potent PDE4 inhibitor activates AMPK and Sirt1 to induce mitochondrial biogenesis. PLoS ONE. 16(6). e0253269–e0253269. 4 indexed citations
3.
Al‐Khawaga, Sara, et al.. (2020). Haploinsufficiency of the FOXA2 associated with a complex clinical phenotype. Molecular Genetics & Genomic Medicine. 8(6). e1086–e1086. 6 indexed citations
4.
Aouida, Mustapha, Faiyaz Ahmad, Sara Al‐Khawaga, et al.. (2019). A Novel SLC2A2 Mutation Implicated in Fanconi Bickel Syndrome and Dysglycemia. 92.
5.
Park, Sung Jun, Faiyaz Ahmad, Alexandra L. Brown, et al.. (2017). Specific Sirt1 Activator-mediated Improvement in Glucose Homeostasis Requires Sirt1-Independent Activation of AMPK. EBioMedicine. 18. 128–138. 31 indexed citations
6.
Maurice, Donald H., Hengming Ke, Faiyaz Ahmad, et al.. (2014). Advances in targeting cyclic nucleotide phosphodiesterases. Nature Reviews Drug Discovery. 13(4). 290–314. 599 indexed citations breakdown →
7.
Park, Sung-Jun, Faiyaz Ahmad, Andrew Philp, et al.. (2012). Resveratrol ameliorates aging-related metabolic phenotypes by inhibiting cAMP phosphodiesterases. BMC Proceedings. 6(S3). 11 indexed citations
8.
Park, Sung Jun, Faiyaz Ahmad, Andrew Philp, et al.. (2012). Resveratrol Ameliorates Aging-Related Metabolic Phenotypes by Inhibiting cAMP Phosphodiesterases. Cell. 148(3). 421–433. 1105 indexed citations breakdown →
9.
Goldstein, Barry J., Wei-Ren Zhang, Faiyaz Ahmad, & Pei-Ming Li. (2009). O-38: Regulation of insulin receptor function by the LAR protein-tyrosine phosphatase. Experimental and Clinical Endocrinology & Diabetes. 104(S 02). 48–49.
10.
Ahmad, Faiyaz, Young Hae Choi, Yi Tang, et al.. (2007). Regulation of cyclic nucleotide phosphodiesterase 3 (PDE3). 2 indexed citations
11.
Ahmad, Faiyaz, et al.. (2006). Plasma membrane cyclic nucleotide phosphodiesterase 3B (PDE3B) is associated with caveolae in primary adipocytes. Cellular Signalling. 18(10). 1713–1721. 38 indexed citations
12.
Krall, Judith, Eliso Tikishvili, Matthew Honeggar, et al.. (2005). Isoforms of Cyclic Nucleotide Phosphodiesterase PDE3 and Their Contribution to cAMP Hydrolytic Activity in Subcellular Fractions of Human Myocardium. Journal of Biological Chemistry. 280(47). 39168–39174. 88 indexed citations
13.
Ahmad, Faiyaz, et al.. (2005). Adenovirus-Mediated Overexpression of Murine Cyclic Nucleotide Phosphodiesterase 3B. Humana Press eBooks. 307. 93–108. 3 indexed citations
15.
Ahmad, Faiyaz, Li-Na Cong, Lena Stenson Holst, et al.. (2000). Cyclic Nucleotide Phosphodiesterase 3B Is a Downstream Target of Protein Kinase B and May Be Involved in Regulation of Effects of Protein Kinase B on Thymidine Incorporation in FDCP2 Cells. The Journal of Immunology. 164(9). 4678–4688. 51 indexed citations
16.
Goldstein, Barry J., et al.. (1998). Regulation of Insulin Action by Protein Tyrosine Phosphatases. Vitamins and hormones. 54. 67–96. 30 indexed citations
17.
Degerman, Eva, Tova Rahn Landström, Jonny Wijkander, et al.. (1998). Phosphorylation and Activation of Hormone-Sensitive Adipocyte Phosphodiesterase Type 3B. Methods. 14(1). 43–53. 71 indexed citations
18.
Ahmad, Faiyaz & Barry J. Goldstein. (1995). Increased abundance of specific skeletal muscle protein-tyrosine phosphatases in a genetic model of insulin-resistant obesity and diabetes mellitus. Metabolism. 44(9). 1175–1184. 110 indexed citations
19.
Ahmad, Faiyaz, Pei-Ming Li, Joseph Meyerovitch, & Barry J. Goldstein. (1995). Osmotic Loading of Neutralizing Antibodies Demonstrates a Role for Protein-tyrosine Phosphatase 1B in Negative Regulation of the Insulin Action Pathway. Journal of Biological Chemistry. 270(35). 20503–20508. 202 indexed citations
20.

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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