Claudia Ditzen

406 total citations
10 papers, 306 citations indexed

About

Claudia Ditzen is a scholar working on Molecular Biology, Spectroscopy and Biological Psychiatry. According to data from OpenAlex, Claudia Ditzen has authored 10 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Spectroscopy and 3 papers in Biological Psychiatry. Recurrent topics in Claudia Ditzen's work include Advanced Proteomics Techniques and Applications (5 papers), Tryptophan and brain disorders (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). Claudia Ditzen is often cited by papers focused on Advanced Proteomics Techniques and Applications (5 papers), Tryptophan and brain disorders (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). Claudia Ditzen collaborates with scholars based in Germany, United States and Sweden. Claudia Ditzen's co-authors include Christoph W. Turck, Giuseppina Maccarrone, Larysa Teplytska, Manfred Uhr, Alexander Yassouridis, Philipp Gormanns, Nikola S. Mueller, Thomas Bronisch, Bianca‐Sabrina Targosz and Mirjam Bunck and has published in prestigious journals such as Neuropsychopharmacology, Molecular Psychiatry and Molecular & Cellular Proteomics.

In The Last Decade

Claudia Ditzen

10 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudia Ditzen Germany 7 138 121 74 47 41 10 306
Sarah A. Vunck United States 10 125 0.9× 181 1.5× 56 0.8× 41 0.9× 96 2.3× 13 351
Natacha Vanattou‐Saïfoudine United Kingdom 9 192 1.4× 149 1.2× 83 1.1× 61 1.3× 123 3.0× 12 441
Áine Behan Ireland 7 138 1.0× 164 1.4× 73 1.0× 57 1.2× 167 4.1× 9 452
Attila Simor Hungary 7 73 0.5× 110 0.9× 37 0.5× 64 1.4× 74 1.8× 7 242
Isabel Birg Germany 5 78 0.6× 135 1.1× 84 1.1× 51 1.1× 45 1.1× 8 329
Maureen Cabatic Austria 9 166 1.2× 126 1.0× 129 1.7× 56 1.2× 91 2.2× 13 440
Francesco E. Emiliani United States 7 93 0.7× 136 1.1× 46 0.6× 34 0.7× 72 1.8× 9 313
Kiran Sapkota United States 12 90 0.7× 217 1.8× 27 0.4× 45 1.0× 285 7.0× 20 489
О. К. Савушкина Russia 12 161 1.2× 152 1.3× 35 0.5× 116 2.5× 171 4.2× 59 478
Г. Г. Симуткин Russia 12 105 0.8× 73 0.6× 68 0.9× 18 0.4× 65 1.6× 58 346

Countries citing papers authored by Claudia Ditzen

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Ditzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Ditzen

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

All Works

10 of 10 papers shown
1.
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
2.
Ditzen, Claudia, Ning Tang, Larysa Teplytska, et al.. (2011). Cerebrospinal Fluid Biomarkers for Major Depression Confirm Relevance of Associated Pathophysiology. Neuropsychopharmacology. 37(4). 1013–1025. 77 indexed citations
3.
Gormanns, Philipp, et al.. (2011). Phenome-transcriptome correlation unravels anxiety and depression related pathways. Journal of Psychiatric Research. 45(7). 973–979. 57 indexed citations
4.
Ditzen, Claudia, Ludwig Czibere, Mariya Gonik, et al.. (2009). Proteomic-based genotyping in a mouse model of trait anxiety exposes disease-relevant pathways. Molecular Psychiatry. 15(7). 702–711. 29 indexed citations
5.
Ditzen, Claudia, Ludwig Czibere, Mariya Gonik, et al.. (2009). Proteomic genotyping in a mouse model of trait anxiety exposes disease relevant pathways. Pharmacopsychiatry. 42(5). 1 indexed citations
6.
Ditzen, Claudia, et al.. (2007). Biomarker discovery in CSF of depressed patients. Pharmacopsychiatry. 40(5). 1 indexed citations
7.
Ditzen, Claudia, Melanie Keßler, Mirjam Bunck, et al.. (2006). Protein Biomarkers in a Mouse Model of Extremes in Trait Anxiety. Molecular & Cellular Proteomics. 5(10). 1914–1920. 64 indexed citations
8.
Turck, Christoph W., Giuseppina Maccarrone, Claudia Ditzen, et al.. (2005). The quest for brain disorder biomarkers. The Journal of Medical Investigation. 52(Supplement). 231–235. 15 indexed citations
9.
Maccarrone, Giuseppina, Isabel Birg, Marcus C. Rosenhagen, et al.. (2004). In-depth analysis of the human CSF proteome using protein prefractionation. Clinical Proteomics. 1(3-4). 333–364. 11 indexed citations
10.
Maccarrone, Giuseppina, Isabel Birg, Marcus C. Rosenhagen, et al.. (2004). In-depth analyis of the human CSF proteome using protein prefractionation. Max Planck Institute for Plasma Physics. 1. 333–364. 1 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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2026