Christopher Weidner
Impact in
- Geriatrics and Gerontology top 10%
Papers in
-
- Peroxisome Proliferator-Activated Receptors 5
- Bioinformatics and Genomic Networks 4
-
- Natural Antidiabetic Agents Studies 3
- Co-authors
- Sascha Sauer (15 shared papers)Sylvia J. Wowro (7 shared papers)Annabell Plauth (7 shared papers)Anja Freiwald (5 shared papers)Frank C. Schroeder (5 shared papers)H Abdel-Aziz (4 shared papers)Magdalena Kliem (4 shared papers)Vitam Kodelja (4 shared papers)
- Journals
- PLoS ONE (3 papers)Journal of Natural Products (1 paper)Organic Letters (1 paper)Molecular & Cellular Proteomics (1 paper)PROTEOMICS (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Christopher Weidner
17 papers receiving 791 citations
Peers
Comparison fields: 5 of 70
- Geriatrics and Gerontology 30
- Drug Discovery 2
- Biochemistry 47
- Endocrinology, Diabetes and Metabolism 111
- Complementary and alternative medicine 56
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-authors
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 | 2012 | 188 | |
| 2 | 2016 | 84 | |
| 3 | 2014 | 65 | |
| 4 | 2013 | 63 | |
| 5 | 2013 | 63 | |
| 6 | 2013 | 62 | |
| 7 | 2013 | 57 | |
| 8 | 2014 | 51 | |
| 9 | 2016 | 42 | |
| 10 | 2013 | 30 | |
| 11 | 2016 | 23 | |
| 12 | 2016 | 23 | |
| 13 | 2014 | 22 | |
| 14 | 2014 | 21 | |
| 15 | 2013 | 8 | |
| 16 | 2013 | 7 | |
| 17 | 2017 | 4 |
About Christopher Weidner
Christopher Weidner is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Pharmacology, Spectroscopy and Geriatrics and Gerontology, having authored 17 papers that have together received 813 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (5 papers), Bioinformatics and Genomic Networks (4 papers), Natural Antidiabetic Agents Studies (3 papers), Medicinal Plant Research (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Phytochemicals and Antioxidant Activities (1 paper) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Geriatrics and Gerontology (30 citations), Drug Discovery (2 citations), Biochemistry (47 citations), Endocrinology, Diabetes and Metabolism (111 citations) and Complementary and alternative medicine (56 citations). Christopher Weidner has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Sascha Sauer, Sylvia J. Wowro, Annabell Plauth, Anja Freiwald, Frank C. Schroeder, H Abdel-Aziz, Magdalena Kliem, Vitam Kodelja, Cornelius Fischer and David Meierhofer. Their work appears in journals such as PLoS ONE, Journal of Natural Products, Organic Letters, Molecular & Cellular Proteomics and 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.