Christopher Weidner

926 total citations
18 papers, 755 citations indexed

About

Christopher Weidner is a scholar working on Molecular Biology, Physiology and Geriatrics and Gerontology. According to data from OpenAlex, Christopher Weidner has authored 18 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Physiology and 3 papers in Geriatrics and Gerontology. Recurrent topics in Christopher Weidner's work include Peroxisome Proliferator-Activated Receptors (7 papers), Adipose Tissue and Metabolism (5 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). Christopher Weidner is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (7 papers), Adipose Tissue and Metabolism (5 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). Christopher Weidner collaborates with scholars based in Germany, United States and Austria. Christopher Weidner's co-authors include Sascha Sauer, Sylvia J. Wowro, Frank C. Schroeder, Anja Freiwald, H Abdel-Aziz, Vitam Kodelja, Magdalena Kliem, Annabell Plauth, Cornelius Fischer and David Meierhofer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Christopher Weidner

18 papers receiving 746 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christopher Weidner Germany 14 427 115 103 93 91 18 755
Mi‐Ran Cha South Korea 17 412 1.0× 139 1.2× 95 0.9× 62 0.7× 106 1.2× 33 776
Kengo Kawasaki Japan 15 429 1.0× 99 0.9× 105 1.0× 157 1.7× 58 0.6× 22 729
Ting‐Tsz Ou Taiwan 18 442 1.0× 117 1.0× 105 1.0× 84 0.9× 84 0.9× 24 915
Oliver Rau Germany 15 430 1.0× 72 0.6× 68 0.7× 88 0.9× 124 1.4× 25 782
Jia‐Ching Wu Taiwan 15 397 0.9× 139 1.2× 75 0.7× 157 1.7× 89 1.0× 19 844
Sharon Varghese Qatar 6 405 0.9× 104 0.9× 80 0.8× 47 0.5× 103 1.1× 7 806
Tiago Sousa de Melo Brazil 11 328 0.8× 120 1.0× 171 1.7× 91 1.0× 70 0.8× 18 738
Yanqing Zang China 13 248 0.6× 127 1.1× 184 1.8× 72 0.8× 49 0.5× 23 666
Prosenjit Saha India 20 337 0.8× 139 1.2× 61 0.6× 64 0.7× 44 0.5× 46 789
Hee Sook Sohn South Korea 12 304 0.7× 129 1.1× 183 1.8× 76 0.8× 124 1.4× 15 777

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-authorship network of co-authors of Christopher Weidner

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Weidner. A scholar is included among the top collaborators of Christopher Weidner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher Weidner. Christopher Weidner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Weidner, Christopher, et al.. (2017). A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research. Journal of Visualized Experiments. 4 indexed citations
2.
Plauth, Annabell, Sylvia J. Wowro, Christopher Weidner, et al.. (2016). Data of oxygen- and pH-dependent oxidation of resveratrol. Data in Brief. 9. 433–437. 8 indexed citations
3.
Weidner, Christopher, Annabell Plauth, Sylvia J. Wowro, et al.. (2016). Iberis amara Extract Induces Intracellular Formation of Reactive Oxygen Species and Inhibits Colon Cancer. PLoS ONE. 11(4). e0152398–e0152398. 19 indexed citations
4.
Weidner, Christopher, Matthias Steinfath, E. Opitz, Michael Oelgeschläger, & Gilbert Schönfelder. (2016). Defining the optimal animal model for translational research using gene set enrichment analysis. EMBO Molecular Medicine. 8(8). 831–838. 21 indexed citations
5.
Plauth, Annabell, Sylvia J. Wowro, Christopher Weidner, et al.. (2016). Hormetic shifting of redox environment by pro-oxidative resveratrol protects cells against stress. Free Radical Biology and Medicine. 99. 608–622. 78 indexed citations
6.
Weidner, Christopher, Robert J. Micikas, Cornelius Fischer, et al.. (2016). Amorfrutin C Induces Apoptosis and Inhibits Proliferation in Colon Cancer Cells through Targeting Mitochondria. Journal of Natural Products. 79(1). 2–12. 35 indexed citations
7.
Weidner, Christopher, Cornelius Fischer, & Sascha Sauer. (2014). PHOXTRACK–a tool for interpreting comprehensive datasets of post-translational modifications of proteins. Bioinformatics. 30(23). 3410–3411. 19 indexed citations
8.
9.
Weidner, Christopher, Annabell Plauth, Sylvia J. Wowro, et al.. (2014). Melissa officinalis extract induces apoptosis and inhibits proliferation in colon cancer cells through formation of reactive oxygen species. Phytomedicine. 22(2). 262–270. 63 indexed citations
10.
11.
Meierhofer, David, Christopher Weidner, Ludger Hartmann, et al.. (2013). Protein Sets Define Disease States and Predict In Vivo Effects of Drug Treatment. Molecular & Cellular Proteomics. 12(7). 1965–1979. 27 indexed citations
12.
Weidner, Christopher, Sylvia J. Wowro, Anja Freiwald, et al.. (2013). Amorfrutin B is an efficient natural peroxisome proliferator-activated receptor gamma (PPARγ) agonist with potent glucose-lowering properties. Diabetologia. 56(8). 1802–1812. 61 indexed citations
13.
Weidner, Christopher, Sylvia J. Wowro, Anja Freiwald, et al.. (2013). Lemon balm extract causes potent antihyperglycemic and antihyperlipidemic effects in insulin‐resistant obese mice. Molecular Nutrition & Food Research. 58(4). 903–907. 54 indexed citations
14.
Weidner, Christopher, et al.. (2013). Foam Cell Specific LXRα Ligand. PLoS ONE. 8(2). e57311–e57311. 9 indexed citations
15.
Weidner, Christopher, Sylvia J. Wowro, Anja Freiwald, et al.. (2013). Antidiabetic Effects of Chamomile Flowers Extract in Obese Mice through Transcriptional Stimulation of Nutrient Sensors of the Peroxisome Proliferator-Activated Receptor (PPAR) Family. PLoS ONE. 8(11). e80335–e80335. 55 indexed citations
16.
Weidner, Christopher, J. Krausze, Ken Kawamoto, et al.. (2013). Structural Characterization of Amorfrutins Bound to the Peroxisome Proliferator-Activated Receptor γ. Journal of Medicinal Chemistry. 56(4). 1535–1543. 56 indexed citations
17.
Freiwald, Anja, et al.. (2013). Comprehensive proteomic datasets for studying adipocyte–macrophage cell–cell communication. PROTEOMICS. 13(23-24). 3424–3428. 7 indexed citations
18.
Weidner, Christopher, Anja Freiwald, Claudia Quedenau, et al.. (2012). Amorfrutins are potent antidiabetic dietary natural products. Proceedings of the National Academy of Sciences. 109(19). 7257–7262. 171 indexed citations

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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