Cordula Tschuch

931 total citations
10 papers, 579 citations indexed

About

Cordula Tschuch is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Cordula Tschuch has authored 10 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Cordula Tschuch's work include Cancer Research and Treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Cancer Mechanisms and Therapy (2 papers). Cordula Tschuch is often cited by papers focused on Cancer Research and Treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Cancer Mechanisms and Therapy (2 papers). Cordula Tschuch collaborates with scholars based in Germany, United Kingdom and France. Cordula Tschuch's co-authors include Zsolt Urbán, Allan J. Richards, Charles D. Boyd, Daniela Quaglino, Lionel Bercovitch, I. Pasquali‐Ronchetti, Anne De Paepe, Sharon F. Terry, Katalin Csiszár and F M Pope and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Cancer Research.

In The Last Decade

Cordula Tschuch

10 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cordula Tschuch Germany 7 350 229 210 117 89 10 579
Peter C. Verlander United States 14 255 0.7× 695 3.0× 77 0.4× 132 1.1× 30 0.3× 18 921
Katharina Keupp Germany 6 232 0.7× 123 0.5× 44 0.2× 42 0.4× 97 1.1× 7 324
Teresa M. Maxwell United States 13 203 0.6× 316 1.4× 61 0.3× 73 0.6× 24 0.3× 16 605
Koichi R. Katsumura United States 18 98 0.3× 578 2.5× 76 0.4× 107 0.9× 22 0.2× 24 863
Guylène Bertrand France 11 93 0.3× 179 0.8× 71 0.3× 108 0.9× 40 0.4× 16 408
M. L. Kwee Netherlands 13 320 0.9× 426 1.9× 54 0.3× 59 0.5× 15 0.2× 24 640
Youko Hirayama Japan 16 122 0.3× 767 3.3× 310 1.5× 133 1.1× 15 0.2× 21 1.0k
Jeffrey M. Cloutier United States 14 150 0.4× 538 2.3× 98 0.5× 106 0.9× 96 1.1× 46 798
Xin-Yan Lu United States 6 157 0.4× 321 1.4× 19 0.1× 178 1.5× 35 0.4× 7 594
Anna Wiles New Zealand 13 83 0.2× 266 1.2× 24 0.1× 130 1.1× 29 0.3× 17 437

Countries citing papers authored by Cordula Tschuch

Since Specialization
Citations

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

Fields of papers citing papers by Cordula Tschuch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cordula Tschuch

This figure shows the co-authorship network connecting the top 25 collaborators of Cordula Tschuch. A scholar is included among the top collaborators of Cordula Tschuch 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 Cordula Tschuch. Cordula Tschuch 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.
Rommel, Felix, Aysegül Tura, Mahdy Ranjbar, et al.. (2022). CXCR4, CXCR5 and CD44 May Be Involved in Homing of Lymphoma Cells into the Eye in a Patient Derived Xenograft Homing Mouse Model for Primary Vitreoretinal Lymphoma. International Journal of Molecular Sciences. 23(19). 11757–11757. 3 indexed citations
3.
4.
Tschuch, Cordula, William F. Durham, Gerhard Kelter, et al.. (2018). Abstract 3101: Influence of targeted knockout of the BRCA1 gene on the pharmacologic profile of the mouse breast cancer cell line EMT6 in vitro and in vivo. Cancer Research. 78(13_Supplement). 3101–3101. 6 indexed citations
5.
Zeitouni, Bruno, et al.. (2017). Abstract 1840: Whole-exome somatic mutation analysis of mouse cancer models and implications for preclinical immunomodulatory drug development. Cancer Research. 77(13_Supplement). 1840–1840. 9 indexed citations
6.
Tschuch, Cordula, et al.. (2015). Abstract A10: Establishment and characterization of a patient-derived non-small cell lung cancer mouse model of acquired resistance towards anti-EGFR treatment. Molecular Cancer Therapeutics. 14(12_Supplement_2). A10–A10. 1 indexed citations
7.
Mertens, Daniel, Nupur Bhattacharya, Cordula Tschuch, et al.. (2009). Chronic lymphocytic leukemia and 13q14: miRs and more. Leukemia & lymphoma. 50(3). 502–505. 26 indexed citations
8.
Tschuch, Cordula, Angela Schulz, Armin Pscherer, et al.. (2008). Off-target effects of siRNA specific for GFP. BMC Molecular Biology. 9(1). 60–60. 70 indexed citations
9.
Mertens, Daniel, Stephan Wolf, Cordula Tschuch, et al.. (2006). Allelic silencing at the tumor-suppressor locus 13q14.3 suggests an epigenetic tumor-suppressor mechanism. Proceedings of the National Academy of Sciences. 103(20). 7741–7746. 32 indexed citations
10.
Saux, Olivier Le, Zsolt Urbán, Cordula Tschuch, et al.. (2000). Mutations in a gene encoding an ABC transporter cause pseudoxanthoma elasticum. Nature Genetics. 25(2). 223–227. 420 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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