Tayeba Khan

2.6k total citations · 2 hit papers
9 papers, 2.1k citations indexed

About

Tayeba Khan is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, Tayeba Khan has authored 9 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Tayeba Khan's work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Adipose Tissue and Metabolism (3 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Tayeba Khan is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (4 papers), Adipose Tissue and Metabolism (3 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Tayeba Khan collaborates with scholars based in United States, France and Australia. Tayeba Khan's co-authors include Philipp E. Scherer, Zhao V. Wang, Streamson C. Chua, Nicola Abate, Paolo Bonaldo, Eric S. Muise, Puneeth Iyengar, Manisha Chandalia, Bei B. Zhang and Maria E. Trujillo and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Endocrinology.

In The Last Decade

Tayeba Khan

9 papers receiving 2.1k citations

Hit Papers

Metabolic Dysregulation and Adipose Tissue Fibrosis: Role... 2008 2026 2014 2020 2008 2009 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tayeba Khan United States 9 1.1k 1.0k 630 475 253 9 2.1k
Lavanya Vishvanath United States 19 1.5k 1.4× 1.1k 1.0× 570 0.9× 431 0.9× 165 0.7× 23 2.1k
Qi‐Qun Tang China 29 691 0.6× 598 0.6× 790 1.3× 186 0.4× 157 0.6× 59 1.8k
Daniel C. Berry United States 24 1.2k 1.1× 806 0.8× 1.7k 2.7× 287 0.6× 140 0.6× 36 3.0k
Geneviève Marcelin France 19 686 0.6× 663 0.6× 674 1.1× 297 0.6× 273 1.1× 34 1.9k
Clair Crewe United States 17 688 0.6× 582 0.6× 865 1.4× 391 0.8× 154 0.6× 28 1.7k
Aline Mairal France 31 1.4k 1.3× 456 0.4× 1.0k 1.6× 372 0.8× 395 1.6× 45 2.9k
K Röhrig Germany 18 784 0.7× 845 0.8× 554 0.9× 224 0.5× 272 1.1× 25 1.7k
Atsuko Nakatsuka Japan 20 574 0.5× 757 0.7× 662 1.1× 247 0.5× 390 1.5× 50 2.2k
Jelena Todoric Austria 17 609 0.5× 871 0.8× 673 1.1× 181 0.4× 407 1.6× 25 2.2k
Eri Iwai‐Kanai Japan 22 412 0.4× 839 0.8× 1.3k 2.0× 550 1.2× 333 1.3× 35 2.5k

Countries citing papers authored by Tayeba Khan

Since Specialization
Citations

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

Fields of papers citing papers by Tayeba Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tayeba Khan

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

All Works

9 of 9 papers shown
3.
Khan, Tayeba, Hans Weber, Jillian DiMuzio, et al.. (2016). Silencing Myostatin Using Cholesterol-conjugated siRNAs Induces Muscle Growth. Molecular Therapy — Nucleic Acids. 5(8). e342–e342. 71 indexed citations
4.
Halberg, Nils, Tayeba Khan, Maria E. Trujillo, et al.. (2009). Hypoxia-Inducible Factor 1α Induces Fibrosis and Insulin Resistance in White Adipose Tissue. Molecular and Cellular Biology. 29(16). 4467–4483. 686 indexed citations breakdown →
5.
Khan, Tayeba, Mark Hamilton, Dorothy I. Mundy, Streamson C. Chua, & Philipp E. Scherer. (2009). Impact of Simvastatin on Adipose Tissue: Pleiotropic Effects in Vivo. Endocrinology. 150(12). 5262–5272. 48 indexed citations
6.
Khan, Tayeba, Eric S. Muise, Puneeth Iyengar, et al.. (2008). Metabolic Dysregulation and Adipose Tissue Fibrosis: Role of Collagen VI. Molecular and Cellular Biology. 29(6). 1575–1591. 818 indexed citations breakdown →
7.
Wang, Zhao V., Todd Schraw, Jayoung Kim, et al.. (2007). Secretion of the Adipocyte-Specific Secretory Protein Adiponectin Critically Depends on Thiol-Mediated Protein Retention. Molecular and Cellular Biology. 27(10). 3716–3731. 251 indexed citations
8.
Kunjathoor, Vidya, et al.. (2004). beta-Amyloid promotes accumulation of lipid peroxides by inhibiting CD36-mediated clearance of oxidized lipoproteins.. Journal of Neuroinflammation. 1(1). 23–23. 38 indexed citations
9.
Khan, Tayeba, Joseph El Khoury, Chi L.L. Pham, et al.. (2004). Fibrillar Amyloid Protein Present in Atheroma Activates CD36 Signal Transduction. Journal of Biological Chemistry. 279(11). 10643–10648. 113 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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