Christiane Rewerts

621 total citations
8 papers, 405 citations indexed

About

Christiane Rewerts is a scholar working on Molecular Biology, Spectroscopy and Physiology. According to data from OpenAlex, Christiane Rewerts has authored 8 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Spectroscopy and 3 papers in Physiology. Recurrent topics in Christiane Rewerts's work include Advanced Proteomics Techniques and Applications (4 papers), Tryptophan and brain disorders (2 papers) and Alzheimer's disease research and treatments (2 papers). Christiane Rewerts is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Tryptophan and brain disorders (2 papers) and Alzheimer's disease research and treatments (2 papers). Christiane Rewerts collaborates with scholars based in Germany, Brazil and United States. Christiane Rewerts's co-authors include Giuseppina Maccarrone, Christoph W. Turck, Daniel Martins‐de‐Souza, Emmanuel Dias‐Neto, Andrea Schmitt, Wagner F. Gattaz, José C. Novello, Sérgio Marangoni, W. Zieglgänsberger and Mathias Uhlén and has published in prestigious journals such as Journal of Psychiatric Research, PROTEOMICS and Journal of Neural Transmission.

In The Last Decade

Christiane Rewerts

8 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christiane Rewerts Germany 7 229 96 79 79 70 8 405
Verônica M. Saia‐Cereda Brazil 10 241 1.1× 104 1.1× 100 1.3× 35 0.4× 91 1.3× 14 465
Baohu Ji United States 14 271 1.2× 107 1.1× 116 1.5× 37 0.5× 57 0.8× 26 515
I Matsumoto Australia 11 234 1.0× 66 0.7× 177 2.2× 56 0.7× 75 1.1× 17 510
Sandra Pietsch United Kingdom 10 205 0.9× 95 1.0× 37 0.5× 70 0.9× 51 0.7× 11 373
MHD Rami Al Shweiki Germany 8 141 0.6× 69 0.7× 43 0.5× 46 0.6× 55 0.8× 10 332
Irène M. Riederer Switzerland 10 226 1.0× 21 0.2× 90 1.1× 38 0.5× 188 2.7× 17 400
Zhengrui Xi Canada 14 408 1.8× 57 0.6× 91 1.2× 19 0.2× 104 1.5× 18 754
Carmit Nadri Israel 9 296 1.3× 139 1.4× 222 2.8× 18 0.2× 36 0.5× 13 491
Tommaso Nuzzo Italy 18 369 1.6× 83 0.9× 207 2.6× 17 0.2× 148 2.1× 36 688
Lenora Higginbotham United States 8 217 0.9× 31 0.3× 39 0.5× 53 0.7× 241 3.4× 14 411

Countries citing papers authored by Christiane Rewerts

Since Specialization
Citations

This map shows the geographic impact of Christiane Rewerts'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 Christiane Rewerts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christiane Rewerts more than expected).

Fields of papers citing papers by Christiane Rewerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christiane Rewerts. 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 Christiane Rewerts. The network helps show where Christiane Rewerts may publish in the future.

Co-authorship network of co-authors of Christiane Rewerts

This figure shows the co-authorship network connecting the top 25 collaborators of Christiane Rewerts. A scholar is included among the top collaborators of Christiane Rewerts 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 Christiane Rewerts. Christiane Rewerts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Filiou, Michaela D., et al.. (2015). Variability assessment of 15N metabolic labeling-based proteomics workflow in mouse plasma and brain. Molecular BioSystems. 11(6). 1536–1542. 3 indexed citations
2.
Maccarrone, Giuseppina, Claudia Ditzen, Alexander Yassouridis, et al.. (2013). Psychiatric patient stratification using biosignatures based on cerebrospinal fluid protein expression clusters. Journal of Psychiatric Research. 47(11). 1572–1580. 50 indexed citations
3.
Maccarrone, Giuseppina, et al.. (2012). Proteome profiling of peripheral mononuclear cells from human blood. PROTEOMICS. 13(5). 893–897. 13 indexed citations
4.
Bonfiglio, Juán José, Giuseppina Maccarrone, Christiane Rewerts, et al.. (2010). Characterization of the B-Raf interactome in mouse hippocampal neuronal cells. Journal of Proteomics. 74(2). 186–198. 13 indexed citations
5.
Martins‐de‐Souza, Daniel, Wagner F. Gattaz, Andrea Schmitt, et al.. (2009). Prefrontal cortex shotgun proteome analysis reveals altered calcium homeostasis and immune system imbalance in schizophrenia. European Archives of Psychiatry and Clinical Neuroscience. 259(3). 151–163. 164 indexed citations
6.
Martins‐de‐Souza, Daniel, Wagner F. Gattaz, Andrea Schmitt, et al.. (2008). Proteome analysis of human dorsolateral prefrontal cortex using shotgun mass spectrometry. Journal of Separation Science. 31(16-17). 3122–3126. 11 indexed citations
7.
Martins‐de‐Souza, Daniel, Wagner F. Gattaz, Andrea Schmitt, et al.. (2008). Alterations in oligodendrocyte proteins, calcium homeostasis and new potential markers in schizophrenia anterior temporal lobe are revealed by shotgun proteome analysis. Journal of Neural Transmission. 116(3). 275–289. 122 indexed citations
8.
Rewerts, Christiane, et al.. (2004). Analgesic effects of 5‐HT3receptor antagonists. Scandinavian Journal of Rheumatology. 33(sup119). 19–23. 29 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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