Fareeba Sheedfar
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Dietary Effects on Health
Papers in
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- Adipose Tissue and Metabolism 5
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- Liver Disease Diagnosis and Treatment 4
- Adipokines, Inflammation, and Metabolic Diseases 3
- Co-authors
- Debby P.Y. Koonen (7 shared papers)Manlio Vinciguerra (7 shared papers)Stefano Di Biase (1 shared paper)Marten H. Hofker (6 shared papers)Niels Kloosterhuis (4 shared papers)Alain de Bruin (2 shared papers)Nanda Gruben (3 shared papers)Robert Kleemann (2 shared papers)
- Journals
- Aging (3 papers)Glycobiology (1 paper)Oncotarget (1 paper)Atherosclerosis (1 paper)Veterinary Parasitology Regional Studies and Reports (1 paper)
- Partner nations
- NetherlandsItalyUnited Kingdom
In The Last Decade
Fareeba Sheedfar
14 papers receiving 749 citations
Peers
Comparison fields: 5 of 74
- Aging 21
- Physiology 249
- Epidemiology 304
- Geriatrics and Gerontology 22
- Endocrine and Autonomic Systems 43
Countries citing papers authored by Fareeba Sheedfar
This map shows the geographic impact of Fareeba Sheedfar'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 Fareeba Sheedfar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fareeba Sheedfar more than expected).
Fields of papers citing papers by Fareeba Sheedfar
This network shows the impact of papers produced by Fareeba Sheedfar. 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 Fareeba Sheedfar. The network helps show where Fareeba Sheedfar may publish in the future.
Co-authors
The 25 scholars most cited alongside Fareeba Sheedfar, 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 | 2015 | 240 | |
| 2 | 2013 | 209 | |
| 3 | 2014 | 90 | |
| 4 | 2014 | 54 | |
| 5 | 2015 | 30 | |
| 6 | 2015 | 25 | |
| 7 | 2014 | 23 | |
| 8 | 2016 | 23 | |
| 9 | 2013 | 20 | |
| 10 | 2015 | 16 | |
| 11 | 2014 | 12 | |
| 12 | 2016 | 7 | |
| 13 | 2015 | 7 | |
| 14 | 2016 | 3 |
About Fareeba Sheedfar
Fareeba Sheedfar is a scholar working on Physiology, Epidemiology, Geriatrics and Gerontology, Sensory Systems and Biochemistry, having authored 14 papers that have together received 759 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Pancreatic function and diabetes (2 papers), Lipid metabolism and biosynthesis (1 paper), Biomedical Research and Pathophysiology (1 paper) and Parasitic Diseases Research and Treatment (1 paper). The work is most often cited by research in Aging (21 citations), Physiology (249 citations), Epidemiology (304 citations), Geriatrics and Gerontology (22 citations) and Endocrine and Autonomic Systems (43 citations). Fareeba Sheedfar has collaborated with scholars based in Netherlands, Italy and United Kingdom. Frequent co-authors include Debby P.Y. Koonen, Manlio Vinciguerra, Stefano Di Biase, Marten H. Hofker, Niels Kloosterhuis, Alain de Bruin, Nanda Gruben, Robert Kleemann, Roel A. van der Heijden and Pascal P. H. Hommelberg. Their work appears in journals such as Aging, Glycobiology, Oncotarget, Atherosclerosis and Veterinary Parasitology Regional Studies and Reports.
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.