Saba Khan
Impact in
- Geriatrics and Gerontology top 0.2%
- Sirtuins and Resveratrol in Medicine
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
- Adipose Tissue and Metabolism
Papers in
- Epidemiology 13
- Adipokines, Inflammation, and Metabolic Diseases 5
- Autophagy in Disease and Therapy 3
- Co-authors
- Hening Lin (3 shared papers)Quan Hao (2 shared papers)Bin He (2 shared papers)Hong Jiang (2 shared papers)Carlos Sebastián (1 shared paper)Jintang Du (1 shared paper)Yi Wang (1 shared paper)Howard C. Hang (1 shared paper)
- Journals
- Expert Opinion on Drug Delivery (2 papers)Clinical and Experimental Pharmacology and Physiology (2 papers)Expert Opinion on Therapeutic Targets (2 papers)Tumor Biology (2 papers)Biological Trace Element Research (1 paper)
- Partner nations
- IndiaUnited StatesPakistan
In The Last Decade
Saba Khan
64 papers receiving 1.6k citations
Saba Khan's Hit Papers
Peers
Comparison fields: 5 of 116
- Geriatrics and Gerontology 585
- Physiology 216
- Periodontics 86
- Epidemiology 378
- Physiology 219
Countries citing papers authored by Saba Khan
This map shows the geographic impact of Saba 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 Saba Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saba Khan more than expected).
Fields of papers citing papers by Saba Khan
This network shows the impact of papers produced by Saba 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 Saba Khan. The network helps show where Saba Khan may publish in the future.
Co-authors
The 25 scholars most cited alongside Saba 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
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SIRT6 regulates TNF-α secretion through hydrolysis of long-chain fatty acyl lysine Hit paper breakdown → | 2013 | 582 |
| 2 | 2015 | 145 | |
| 3 | 2012 | 91 | |
| 4 | 2016 | 78 | |
| 5 | 2016 | 46 | |
| 6 | 2011 | 45 | |
| 7 | 2014 | 41 | |
| 8 | 2010 | 40 | |
| 9 | 2009 | 38 | |
| 10 | 2017 | 36 | |
| 11 | 2004 | 34 | |
| 12 | 2005 | 28 | |
| 13 | 2022 | 25 | |
| 14 | 2013 | 23 | |
| 15 | 2009 | 22 | |
| 16 | 2023 | 21 | |
| 17 | Diversity of hard ticks in goats and sheep in Multan, Punjab, Pakistan | 2019 | 21 |
| 18 | 2015 | 19 | |
| 19 | 2012 | 19 | |
| 20 | 2016 | 18 |
About Saba Khan
Saba Khan is a scholar working on Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism, Surgery and Public Health, Environmental and Occupational Health, having authored 69 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Computational Drug Discovery Methods (4 papers), Occupational and environmental lung diseases (4 papers), Diabetes and associated disorders (3 papers), Autophagy in Disease and Therapy (3 papers), Ovarian function and disorders (3 papers), Occupational exposure and asthma (3 papers) and Oral Health Pathology and Treatment (3 papers). The work is most often cited by research in Geriatrics and Gerontology (585 citations), Physiology (216 citations), Periodontics (86 citations), Epidemiology (378 citations) and Physiology (219 citations). Saba Khan has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Hening Lin, Quan Hao, Bin He, Hong Jiang, Carlos Sebastián, Jintang Du, Yi Wang, Howard C. Hang, Raúl Mostoslavsky and Guillaume Charron. Their work appears in journals such as Expert Opinion on Drug Delivery, Clinical and Experimental Pharmacology and Physiology, Expert Opinion on Therapeutic Targets, Tumor Biology and Biological Trace Element Research.
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.