Christopher Weidner
- Biochemistry top 5%
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine 3
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds 3
- Biochemistry top 10%
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- Peroxisome Proliferator-Activated Receptors 7
- Genomics, phytochemicals, and oxidative stress 4
- Metabolism, Diabetes, and Cancer 4
- Bioinformatics and Genomic Networks 3
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- Adipose Tissue and Metabolism 5
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- Advanced Proteomics Techniques and Applications 3
- Co-authors
- Sascha SauerSylvia J. WowroFrank C. SchroederAnja FreiwaldH Abdel-AzizMagdalena KliemVitam KodeljaAnnabell Plauth
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Christopher Weidner
18 papers receiving 746 citations
Peers
Comparison fields: 5 of 89
- Biochemistry 87
- Geriatrics and Gerontology 41
- Pharmacology 79
- Complementary and alternative medicine 74
- Biochemistry 47
Countries citing papers authored by Christopher Weidner
This map shows the geographic impact of Christopher Weidner'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 Christopher Weidner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Weidner more than expected).
Fields of papers citing papers by Christopher Weidner
This network shows the impact of papers produced by Christopher Weidner. 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 Christopher Weidner. The network helps show where Christopher Weidner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher Weidner, 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 | 2017 | 4 | |
| 2 | 2016 | 8 | |
| 3 | 2016 | 21 | |
| 4 | 2016 | 19 | |
| 5 | 2016 | 78 | |
| 6 | 2016 | 35 | |
| 7 | 2014 | 63 | |
| 8 | 2014 | 19 | |
| 9 | 2014 | 21 | |
| 10 | 2014 | 47 | |
| 11 | 2013 | 61 | |
| 12 | 2013 | 54 | |
| 13 | 2013 | 27 | |
| 14 | 2013 | 9 | |
| 15 | 2013 | 55 | |
| 16 | 2013 | 7 | |
| 17 | 2013 | 56 | |
| 18 | 2012 | 171 |
About Christopher Weidner
Christopher Weidner is a scholar working on Geriatrics and Gerontology, Pharmacology, Toxicology, Small Animals and Molecular Biology, having authored 18 papers that have together received 755 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (7 papers), Adipose Tissue and Metabolism (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Biochemistry (87 citations), Geriatrics and Gerontology (41 citations), Pharmacology (79 citations), Complementary and alternative medicine (74 citations) and Biochemistry (47 citations). Christopher Weidner has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Sascha Sauer, Sylvia J. Wowro, Frank C. Schroeder, Anja Freiwald, H Abdel-Aziz, Magdalena Kliem, Vitam Kodelja, Annabell Plauth, Cornelius Fischer and David Meierhofer. Their work appears in journals such as PLoS ONE, Organic Letters, Molecular Nutrition & Food Research, Data in Brief and Molecular & Cellular Proteomics.
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.