Christopher Weidner

940 citations
19 papers · 797 · h-index 14

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 6
    • Genomics, phytochemicals, and oxidative stress 4
    • Metabolism, Diabetes, and Cancer 3
    • Bioinformatics and Genomic Networks 2
    • Adipose Tissue and Metabolism 4

Christopher Weidner

18 papers receiving 781 citations

Peers

Christopher Weidner
Comparison fields: 5 of 86
  • Biochemistry 93
  • Geriatrics and Gerontology 43
  • Complementary and alternative medicine 78
  • Pharmacology 75
  • Endocrinology, Diabetes and Metabolism 103
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Oliver Rau Germany
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Weidner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Christopher Weidner Line = papers co-authored together Christopher Weidner links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2012180
2 201683
3 201364
4 201464
5 201361
6 201359
7 201357
8 201449
9 201638
10 201328
11 201623
12 201421
13 201621
14 201420
15 20139
16 20168
17 20137
18 20175
19 20170

About Christopher Weidner

Christopher Weidner is a scholar working on Molecular Biology, Physiology, Geriatrics and Gerontology, Pharmacology and Spectroscopy, having authored 19 papers that have together received 797 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (6 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Adipose Tissue and Metabolism (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Biochemistry (93 citations), Geriatrics and Gerontology (43 citations), Complementary and alternative medicine (78 citations), Pharmacology (75 citations) and Endocrinology, Diabetes and Metabolism (103 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, Vitam Kodelja, Magdalena Kliem, Annabell Plauth, David Meierhofer and Cornelius Fischer. Their work appears in journals such as PLoS ONE, Journal of Visualized Experiments, Bioinformatics, Journal of Natural Products 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.

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