Anke Seegebarth

1.1k total citations
9 papers, 480 citations indexed

About

Anke Seegebarth is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Anke Seegebarth has authored 9 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 2 papers in Epidemiology. Recurrent topics in Anke Seegebarth's work include Epigenetics and DNA Methylation (5 papers), Neonatal Respiratory Health Research (5 papers) and RNA modifications and cancer (3 papers). Anke Seegebarth is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Neonatal Respiratory Health Research (5 papers) and RNA modifications and cancer (3 papers). Anke Seegebarth collaborates with scholars based in Germany, United Kingdom and Canada. Anke Seegebarth's co-authors include Dimo Dietrich, Bernd Schmidt, Christoph Kneip, Michael Fleischhacker, Volker Liebenberg, Sabine Weickmann, John K. Field, Thomas Schlegel, Christian Witt and Jörn Lewin and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Gut and PLoS Pathogens.

In The Last Decade

Anke Seegebarth

9 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anke Seegebarth Germany 7 335 183 149 72 40 9 480
Hidekazu Hiramoto Japan 9 241 0.7× 269 1.5× 104 0.7× 135 1.9× 21 0.5× 11 421
Gwendoline Soler France 11 170 0.5× 96 0.5× 200 1.3× 150 2.1× 14 0.3× 14 415
Hao Dang Netherlands 10 141 0.4× 111 0.6× 117 0.8× 148 2.1× 17 0.4× 27 330
Yujun Gu China 8 200 0.6× 215 1.2× 135 0.9× 86 1.2× 29 0.7× 9 357
Liisa Chang United Kingdom 4 100 0.3× 95 0.5× 107 0.7× 183 2.5× 49 1.2× 5 332
Wensong Liu China 9 225 0.7× 206 1.1× 44 0.3× 106 1.5× 24 0.6× 18 357
Jayne Maidens Australia 5 217 0.6× 214 1.2× 27 0.2× 97 1.3× 23 0.6× 5 387
Daniel Handley United States 4 257 0.8× 194 1.1× 270 1.8× 26 0.4× 30 0.8× 4 489
Yoshihiko Maehara Japan 8 142 0.4× 96 0.5× 100 0.7× 74 1.0× 52 1.3× 14 335
Amy Sullivan United States 6 110 0.3× 87 0.5× 160 1.1× 258 3.6× 124 3.1× 16 380

Countries citing papers authored by Anke Seegebarth

Since Specialization
Citations

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

Fields of papers citing papers by Anke Seegebarth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anke Seegebarth

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

All Works

9 of 9 papers shown
1.
Loske, Jennifer, Soeren Lukassen, Mirjam Stahl, et al.. (2024). Pharmacological Improvement of Cystic Fibrosis Transmembrane Conductance Regulator Function Rescues Airway Epithelial Homeostasis and Host Defense in Children with Cystic Fibrosis. American Journal of Respiratory and Critical Care Medicine. 209(11). 1338–1350. 16 indexed citations
2.
Messingschlager, Marey, Sebastian D. Mackowiak, Matthias Bieg, et al.. (2023). Genome-wide DNA methylation sequencing identifies epigenetic perturbations in the upper airways under long-term exposure to moderate levels of ambient air pollution. Environmental Research. 233. 116413–116413. 5 indexed citations
3.
Ritter, Julia, Regina Gary, Volkhard Seitz, et al.. (2022). Reconstitution of EBV-directed T cell immunity by adoptive transfer of peptide-stimulated T cells in a patient after allogeneic stem cell transplantation for AITL. PLoS Pathogens. 18(4). e1010206–e1010206. 4 indexed citations
4.
Ritter, Julia, Karin Zimmermann, Korinna Jöhrens, et al.. (2017). T-cell repertoires in refractory coeliac disease. Gut. 67(4). 644–653. 24 indexed citations
5.
Ritter, Julia, Volkhard Seitz, Regina Gary, et al.. (2015). Donor CD4 T Cell Diversity Determines Virus Reactivation in Patients After HLA-Matched Allogeneic Stem Cell Transplantation. American Journal of Transplantation. 15(8). 2170–2179. 19 indexed citations
6.
Schneider, Katja, Dimo Dietrich, Michael Fleischhacker, et al.. (2011). Correlation of SHOX2 Gene Amplification and DNA Methylation in Lung Cancer Tumors. BMC Cancer. 11(1). 102–102. 58 indexed citations
7.
Kneip, Christoph, Bernd Schmidt, Anke Seegebarth, et al.. (2011). SHOX2 DNA Methylation Is a Biomarker for the Diagnosis of Lung Cancer in Plasma. Journal of Thoracic Oncology. 6(10). 1632–1638. 191 indexed citations
8.
Schmidt, Bernd, Volker Liebenberg, Dimo Dietrich, et al.. (2010). SHOX2 DNA Methylation is a Biomarker for the diagnosis of lung cancer based on bronchial aspirates. BMC Cancer. 10(1). 600–600. 150 indexed citations
9.
Kneip, Christoph, Bernd Schmidt, Michael Fleischhacker, et al.. (2009). A novel method for sensitive and specific detection of DNA methylation biomarkers based on DNA restriction during PCR cycling. BioTechniques. 47(3). 737–744. 13 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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