Verena Albert
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
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- Metabolism, Diabetes, and Cancer 4
- PI3K/AKT/mTOR signaling in cancer 2
-
- Adipose Tissue and Metabolism 8
- Co-authors
- Michael N. Hall (7 shared papers)Marion Cornu (3 shared papers)Marco Colombi (2 shared papers)Mitsugu Shimobayashi (2 shared papers)Christoph Handschin (4 shared papers)Anne Christin Meyer‐Gerspach (1 shared paper)Diana Weißenberger (1 shared paper)Paul Jenö (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Biochemical and Biophysical Research Communications (1 paper)iScience (1 paper)The FASEB Journal (1 paper)Cell Reports (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Verena Albert
16 papers receiving 1.7k citations
Verena Albert's Hit Papers
Peers
Comparison fields: 5 of 104
- Aging 95
- Endocrine and Autonomic Systems 128
- Physiology 448
- Geriatrics and Gerontology 56
- Sensory Systems 57
Countries citing papers authored by Verena Albert
This map shows the geographic impact of Verena Albert'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 Verena Albert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Verena Albert more than expected).
Fields of papers citing papers by Verena Albert
This network shows the impact of papers produced by Verena Albert. 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 Verena Albert. The network helps show where Verena Albert may publish in the future.
Co-authors
The 25 scholars most cited alongside Verena Albert, 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 | 2013 | 377 | |
| 2 | Insulin resistance causes inflammation in adipose tissue Hit paper breakdown → | 2018 | 360 |
| 3 | 2014 | 236 | |
| 4 | 2014 | 124 | |
| 5 | 2016 | 113 | |
| 6 | 2018 | 104 | |
| 7 | 2019 | 94 | |
| 8 | 2022 | 65 | |
| 9 | 2018 | 48 | |
| 10 | 2016 | 37 | |
| 11 | 2018 | 37 | |
| 12 | 2011 | 36 | |
| 13 | 2013 | 31 | |
| 14 | 2015 | 22 | |
| 15 | 2015 | 16 | |
| 16 | 2023 | 1 |
About Verena Albert
Verena Albert is a scholar working on Molecular Biology, Physiology, Epidemiology, Cancer Research and Surgery, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Metabolism, Diabetes, and Cancer (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Regulation of Appetite and Obesity (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Pancreatic function and diabetes (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Aging (95 citations), Endocrine and Autonomic Systems (128 citations), Physiology (448 citations), Geriatrics and Gerontology (56 citations) and Sensory Systems (57 citations). Verena Albert has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Michael N. Hall, Marion Cornu, Marco Colombi, Mitsugu Shimobayashi, Christoph Handschin, Anne Christin Meyer‐Gerspach, Diana Weißenberger, Paul Jenö, Ralph Peterli and Suzette Moes. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, iScience, The FASEB Journal and Cell 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.