Ole Ammerpohl

22.6k total citations · 1 hit paper
98 papers, 3.5k citations indexed

About

Ole Ammerpohl is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Ole Ammerpohl has authored 98 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Molecular Biology, 24 papers in Oncology and 22 papers in Genetics. Recurrent topics in Ole Ammerpohl's work include Epigenetics and DNA Methylation (47 papers), RNA modifications and cancer (19 papers) and Genetic Syndromes and Imprinting (13 papers). Ole Ammerpohl is often cited by papers focused on Epigenetics and DNA Methylation (47 papers), RNA modifications and cancer (19 papers) and Genetic Syndromes and Imprinting (13 papers). Ole Ammerpohl collaborates with scholars based in Germany, United States and Sweden. Ole Ammerpohl's co-authors include Reiner Siebert, Holger Kalthoff, Bence Sipos, Christian Pilarsky, Robert Grützmann, Günter Klöppel, Julia Richter, Hendrik Ungefroren, Jütta Lüttges and H. D. Saeger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ole Ammerpohl

89 papers receiving 3.5k citations

Hit Papers

Obesity accelerates epigenetic aging of human liver 2014 2026 2018 2022 2014 100 200 300 400

Peers

Ole Ammerpohl
John Easton United States
François Gaudet United States
Jeffrey M. Conroy United States
Juping Yuan Germany
Terzah M. Horton United States
John Easton United States
Ole Ammerpohl
Citations per year, relative to Ole Ammerpohl Ole Ammerpohl (= 1×) peers John Easton

Countries citing papers authored by Ole Ammerpohl

Since Specialization
Citations

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

Fields of papers citing papers by Ole Ammerpohl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ole Ammerpohl

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

All Works

20 of 20 papers shown
1.
Kretzmer, Helene, et al.. (2024). Navigating Illumina DNA methylation data: biology versus technical artefacts. NAR Genomics and Bioinformatics. 6(4). lqae181–lqae181. 1 indexed citations
2.
Wagner, Alexander, Andreas Sakkas, Sebastian Pietzka, et al.. (2024). Influence of analytical procedures on miRNA expression analyses in saliva samples. Journal of Cranio-Maxillofacial Surgery. 52(6). 748–754. 3 indexed citations
3.
Weirich, Sara, et al.. (2024). SETDB1 activity is globally directed by H3K14 acetylation via its Triple Tudor Domain. Nucleic Acids Research. 52(22). 13690–13705.
4.
Parveen, Asia, Sher Alam Khan, Noor Muhammad, et al.. (2023). Brachyolmia, dental anomalies and short stature (DASS): Phenotype and genotype analyses of Egyptian and Pakistani patients. Heliyon. 10(1). e23688–e23688.
5.
Siebert, Reiner, Ole Ammerpohl, Sven Rau, et al.. (2023). A quantum physics layer of epigenetics: a hypothesis deduced from charge transfer and chirality-induced spin selectivity of DNA. Clinical Epigenetics. 15(1). 145–145. 4 indexed citations
6.
Gießelmann, Pay, Björn Brändl, Etienne Raimondeau, et al.. (2019). Analysis of short tandem repeat expansions and their methylation state with nanopore sequencing. Nature Biotechnology. 37(12). 1478–1481. 117 indexed citations
7.
Hornig, Nadine, Eva Maria Murga Penas, Almuth Caliebe, et al.. (2019). Reduced Androgen Receptor Expression in Genital Skin Fibroblasts From Patients With 45,X/46,XY Mosaicism. The Journal of Clinical Endocrinology & Metabolism. 104(10). 4630–4638. 4 indexed citations
8.
Hornig, Nadine, Helmuth G. Dörr, Nina C. Hubner, et al.. (2018). Epigenetic Repression of Androgen Receptor Transcription in Mutation-Negative Androgen Insensitivity Syndrome (AIS Type II). The Journal of Clinical Endocrinology & Metabolism. 103(12). 4617–4627. 22 indexed citations
9.
Heinbockel, Lena, Sebastian Marwitz, Andra B. Schromm, et al.. (2018). Identification of novel target genes in human lung tissue involved in chronic obstructive pulmonary disease. International Journal of COPD. Volume 13. 2255–2259. 14 indexed citations
10.
Marwitz, Sebastian, Lena Heinbockel, Christian Kügler, et al.. (2018). Fountain of youth for squamous cell carcinomas? On the epigenetic age of non‐small cell lung cancer and corresponding tumor‐free lung tissues. International Journal of Cancer. 143(12). 3061–3070. 5 indexed citations
11.
Marwitz, Sebastian, et al.. (2017). Epigenetic modifications of the immune-checkpoint genes CTLA4 and PDCD1 in non-small cell lung cancer results in increased expression. Clinical Epigenetics. 9(1). 51–51. 54 indexed citations
12.
Marwitz, Sebastian, Sofia Depner, Karin Müller‐Decker, et al.. (2016). Downregulation of the TGFβ Pseudoreceptor BAMBI in Non–Small Cell Lung Cancer Enhances TGFβ Signaling and Invasion. Cancer Research. 76(13). 3785–3801. 76 indexed citations
13.
Ammerpohl, Ole, Andrea Haake, Julia Kolarova, & Reiner Siebert. (2015). Quantitative DNA Methylation Profiling in Cancer. Methods in molecular biology. 1381. 75–92. 2 indexed citations
14.
Ammerpohl, Ole, Susanne Bens, Mahesh Appari, et al.. (2013). Androgen Receptor Function Links Human Sexual Dimorphism to DNA Methylation. PLoS ONE. 8(9). e73288–e73288. 25 indexed citations
15.
Barann, Matthias, Daniela Esser, Ulrich C. Klostermeier, et al.. (2013). Janus—a comprehensive tool investigating the two faces of transcription. Bioinformatics. 29(13). 1600–1606. 1 indexed citations
16.
Eckmann-Scholz, Christel, Susanne Bens, Julia Kolarova, et al.. (2012). DNA-Methylation Profiling of Fetal Tissues Reveals Marked Epigenetic Differences between Chorionic and Amniotic Samples. PLoS ONE. 7(6). e39014–e39014. 24 indexed citations
17.
Martín‐Guerrero, Idoia, Anna Enjuanes, Julia Richter, et al.. (2011). A putative “hepitype” in the ATM gene associated with chronic lymphocytic leukemia risk. Genes Chromosomes and Cancer. 50(11). 887–895. 3 indexed citations
18.
Bens, Susanne, Ole Ammerpohl, José I. Martı́n-Subero, et al.. (2011). Androgen Receptor Mutations Are Associated with Altered Epigenomic Programming as Evidenced by <i>HOXA5</i> Methylation. Sexual Development. 5(2). 70–76. 9 indexed citations
19.
Egberts, Jan‐Hen drik, Ole Ammerpohl, Ralph Buchert, et al.. (2008). Gene Expression Patterns and Tumor Uptake of18F-FDG,18F-FLT, and18F-FEC in PET/MRI of an Orthotopic Mouse Xenotransplantation Model of Pancreatic Cancer. Journal of Nuclear Medicine. 49(8). 1362–1370. 30 indexed citations
20.
Grützmann, Robert, Christian Pilarsky, Ole Ammerpohl, et al.. (2004). Gene Expression Profiling of Microdissected Pancreatic Ductal Carcinomas Using High-Density DNA Microarrays. Neoplasia. 6(5). 611–622. 162 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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