Katja Butterbach

6.7k total citations
17 papers, 779 citations indexed

About

Katja Butterbach is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Physiology. According to data from OpenAlex, Katja Butterbach has authored 17 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 5 papers in Physiology. Recurrent topics in Katja Butterbach's work include Epigenetics and DNA Methylation (7 papers), Telomeres, Telomerase, and Senescence (4 papers) and Cancer-related gene regulation (4 papers). Katja Butterbach is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Telomeres, Telomerase, and Senescence (4 papers) and Cancer-related gene regulation (4 papers). Katja Butterbach collaborates with scholars based in Germany, United States and Australia. Katja Butterbach's co-authors include Hermann Brenner, Ines Florath, Melanie Bewerunge‐Hudler, Heiko Müller, Ben Schöttker, Bernd Holleczek, Ute Mons, Yan Zhang, Aida Karina Dieffenbach and Matthias Schick and has published in prestigious journals such as Cancer Research, American Journal of Epidemiology and Environmental Health Perspectives.

In The Last Decade

Katja Butterbach

17 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katja Butterbach Germany 12 506 237 143 136 64 17 779
Witigo von Schönfels Germany 17 520 1.0× 222 0.9× 154 1.1× 168 1.2× 48 0.8× 28 1.2k
Alan MacIntyre United Kingdom 9 219 0.4× 306 1.3× 56 0.4× 99 0.7× 97 1.5× 11 725
Clemens Schafmayer Germany 6 357 0.7× 127 0.5× 93 0.7× 149 1.1× 48 0.8× 12 538
Lathika Mohanraj United States 8 261 0.5× 302 1.3× 40 0.3× 70 0.5× 95 1.5× 16 663
Fangui Sun United States 12 409 0.8× 162 0.7× 68 0.5× 86 0.6× 102 1.6× 20 766
Magda R. Hamczyk Spain 12 395 0.8× 140 0.6× 58 0.4× 39 0.3× 44 0.7× 22 811
Ulrika Svenson Sweden 13 338 0.7× 940 4.0× 31 0.2× 131 1.0× 234 3.7× 15 1.1k
Thomas H. Mosley United States 14 257 0.5× 59 0.2× 93 0.7× 118 0.9× 13 0.2× 24 566
Yuyan Liao United States 19 434 0.9× 214 0.9× 187 1.3× 185 1.4× 20 0.3× 39 1.1k
Bénazir Siddeek France 18 414 0.8× 99 0.4× 130 0.9× 407 3.0× 11 0.2× 30 1.1k

Countries citing papers authored by Katja Butterbach

Since Specialization
Citations

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

Fields of papers citing papers by Katja Butterbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Butterbach

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

All Works

17 of 17 papers shown
1.
Popanda, Odilia, Katja Butterbach, Dominic Edelmann, et al.. (2019). DNA Methylation Profiling to Explore Colorectal Tumor Differences According to Menopausal Hormone Therapy Use in Women. Epigenomics. 11(16). 1765–1778. 3 indexed citations
2.
Popanda, Odilia, Dominic Edelmann, Katja Butterbach, et al.. (2019). Genome-wide DNA methylation differences according to oestrogen receptor beta status in colorectal cancer. Epigenetics. 14(5). 477–493. 13 indexed citations
3.
Ose, Jennifer, Akke Botma, Yesilda Balavarca, et al.. (2018). Pathway analysis of genetic variants in folate‐mediated one‐carbon metabolism‐related genes and survival in a prospectively followed cohort of colorectal cancer patients. Cancer Medicine. 7(7). 2797–2807. 14 indexed citations
4.
Florath, Ines, Ben Schöttker, Katja Butterbach, Melanie Bewerunge‐Hudler, & Hermann Brenner. (2016). Epigenome-Wide Search for Association of Serum 25-Hydroxyvitamin D Concentration with Leukocyte DNA Methylation in a Large Cohort of Older Men. Epigenomics. 8(4). 487–499. 5 indexed citations
5.
Mons, Ute, Aysel Müezzinler, Ben Schöttker, et al.. (2016). Leukocyte Telomere Length and All-Cause, Cardiovascular Disease, and Cancer Mortality: Results From Individual-Participant-Data Meta-Analysis of 2 Large Prospective Cohort Studies. American Journal of Epidemiology. 185(12). 1317–1326. 87 indexed citations
6.
Müezzinler, Aysel, Ute Mons, Aida Karina Dieffenbach, et al.. (2015). Smoking habits and leukocyte telomere length dynamics among older adults: Results from the ESTHER cohort. Experimental Gerontology. 70. 18–25. 41 indexed citations
7.
Zhang, Yan, Ben Schöttker, Ines Florath, et al.. (2015). Smoking-Associated DNA Methylation Biomarkers and Their Predictive Value for All-Cause and Cardiovascular Mortality. Environmental Health Perspectives. 124(1). 67–74. 91 indexed citations
8.
Florath, Ines, Katja Butterbach, Jonathan Heiss, et al.. (2015). Type 2 diabetes and leucocyte DNA methylation: an epigenome-wide association study in over 1,500 older adults. Diabetologia. 59(1). 130–138. 90 indexed citations
9.
Müezzinler, Aysel, Ute Mons, Aida Karina Dieffenbach, et al.. (2015). Body mass index and leukocyte telomere length dynamics among older adults: Results from the ESTHER cohort. Experimental Gerontology. 74. 1–8. 30 indexed citations
10.
Zhang, Yan, Ben Schöttker, José M Ordóñez-Mena, et al.. (2015). F2RL3 methylation, lung cancer incidence and mortality. International Journal of Cancer. 137(7). 1739–1748. 48 indexed citations
11.
Schöttker, Ben, Yan Zhang, Jonathan Heiss, et al.. (2015). Discovery of a novel epigenetic cancer marker related to the oxidative status of human blood. Genes Chromosomes and Cancer. 54(9). 583–594. 8 indexed citations
12.
Saum, Kai-Uwe, Aida Karina Dieffenbach, Aysel Müezzinler, et al.. (2014). Frailty and telomere length: Cross-sectional analysis in 3537 older adults from the ESTHER cohort. Experimental Gerontology. 58. 250–255. 35 indexed citations
13.
Scherer, Dominique, Yesilda Balavarca, Katharina Buck, et al.. (2014). Abstract 2188: Genetic variation in angiogenesis-related genes is associated with colorectal cancer risk and prognosis. Cancer Research. 74(19_Supplement). 2188–2188. 1 indexed citations
14.
Sáinz, Juan, Bernd Frank, Miguel Inácio da Silva Filho, et al.. (2014). GWAS-Identified Common Variants for Obesity Are Not Associated with the Risk of Developing Colorectal Cancer. Cancer Epidemiology Biomarkers & Prevention. 23(6). 1125–1128. 2 indexed citations
15.
Florath, Ines, Katja Butterbach, Heiko Müller, Melanie Bewerunge‐Hudler, & Hermann Brenner. (2013). Cross-sectional and longitudinal changes in DNA methylation with age: an epigenome-wide analysis revealing over 60 novel age-associated CpG sites. Human Molecular Genetics. 23(5). 1186–1201. 255 indexed citations
16.
Perna, Laura, Katja Butterbach, Ulrike Haug, et al.. (2013). Vitamin D Receptor Genotype rs731236 (Taq1) and Breast Cancer Prognosis. Cancer Epidemiology Biomarkers & Prevention. 22(3). 437–442. 21 indexed citations
17.
Butterbach, Katja, Lars Beckmann, Sílvia de Sanjosé, et al.. (2011). Association of JAK‐STAT pathway related genes with lymphoma risk: results of a European case–control study (EpiLymph). British Journal of Haematology. 153(3). 318–333. 35 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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