Tayeba Khan
Impact in
- Physiology top 2%
- Adipose Tissue and Metabolism
- Epidemiology top 2%
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
-
- Adipokines, Inflammation, and Metabolic Diseases 4
-
- Peroxisome Proliferator-Activated Receptors 2
- Co-authors
- Philipp E. Scherer (4 shared papers)Zhao V. Wang (3 shared papers)Streamson C. Chua (2 shared papers)Puneeth Iyengar (1 shared paper)Nicola Abate (1 shared paper)Manisha Chandalia (1 shared paper)Eric S. Muise (1 shared paper)Bei B. Zhang (1 shared paper)
- Journals
- Molecular and Cellular Biology (3 papers)Molecular Therapy — Nucleic Acids (1 paper)Molecular Therapy (1 paper)Disease Models & Mechanisms (1 paper)Endocrinology (1 paper)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Tayeba Khan
9 papers receiving 2.1k citations
Tayeba Khan's Hit Papers
Peers
Comparison fields: 5 of 104
- Physiology 1.1k
- Epidemiology 1.0k
- Cardiology and Cardiovascular Medicine 475
- Cancer Research 231
- Endocrine and Autonomic Systems 92
Countries citing papers authored by Tayeba Khan
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
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-authors
The 25 scholars most cited alongside Tayeba Khan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Metabolic Dysregulation and Adipose Tissue Fibrosis: Role of Collagen VI Hit paper breakdown → | 2008 | 818 |
| 2 | Hypoxia-Inducible Factor 1α Induces Fibrosis and Insulin Resistance in White Adipose Tissue Hit paper breakdown → | 2009 | 686 |
| 3 | 2007 | 251 | |
| 4 | 2004 | 113 | |
| 5 | 2016 | 71 | |
| 6 | 2018 | 60 | |
| 7 | 2009 | 48 | |
| 8 | 2004 | 38 | |
| 9 | 2018 | 31 |
About Tayeba Khan
Tayeba Khan is a scholar working on Epidemiology, Molecular Biology, Physiology, Genetics and Surgery, having authored 9 papers that have together received 2.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Adipose Tissue and Metabolism (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Dermatological and Skeletal Disorders (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Cholesterol and Lipid Metabolism (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Physiology (1.1k citations), Epidemiology (1.0k citations), Cardiology and Cardiovascular Medicine (475 citations), Cancer Research (231 citations) and Endocrine and Autonomic Systems (92 citations). Tayeba Khan has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Philipp E. Scherer, Zhao V. Wang, Streamson C. Chua, Puneeth Iyengar, Nicola Abate, Manisha Chandalia, Eric S. Muise, Bei B. Zhang, Paolo Bonaldo and Ingrid Wernstedt Asterholm. Their work appears in journals such as Molecular and Cellular Biology, Molecular Therapy — Nucleic Acids, Molecular Therapy, Disease Models & Mechanisms and Endocrinology.
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.