Dagmar Schumacher

994 total citations · 1 hit paper
14 papers, 765 citations indexed

About

Dagmar Schumacher is a scholar working on Sensory Systems, Molecular Biology and Cell Biology. According to data from OpenAlex, Dagmar Schumacher has authored 14 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sensory Systems, 4 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Dagmar Schumacher's work include Ion Channels and Receptors (5 papers), Aldose Reductase and Taurine (2 papers) and Biochemical effects in animals (2 papers). Dagmar Schumacher is often cited by papers focused on Ion Channels and Receptors (5 papers), Aldose Reductase and Taurine (2 papers) and Biochemical effects in animals (2 papers). Dagmar Schumacher collaborates with scholars based in Germany, United States and Argentina. Dagmar Schumacher's co-authors include Kishor K. Sivaraj, Boris Strilić, Stefan Offermanns, Nina Wettschureck, Marc Freichel, Thomas Fleming, Peter P. Nawroth, Jakob Morgenstern, Volker Eckstein and Stephan Herzig and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes Care and Cancer Cell.

In The Last Decade

Dagmar Schumacher

14 papers receiving 749 citations

Hit Papers

Platelet-Derived Nucleotides Promote Tumor-Cell Transendo... 2013 2026 2017 2021 2013 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Platelet-Derived Nucleotides Promote Tumor-Cell Transendothelial Migration and Metastasis via P2Y2 Receptor
    2013 477 citations Dagmar Schumacher, Boris Strilić et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dagmar Schumacher Germany 11 305 234 114 103 93 14 765
Sudarsan Rajan United States 15 122 0.4× 774 3.3× 132 1.2× 68 0.7× 60 0.6× 20 1.0k
Tomonori Kawaguchi Japan 14 88 0.3× 415 1.8× 62 0.5× 40 0.4× 24 0.3× 27 1.1k
Ludger Hauck Canada 17 221 0.7× 891 3.8× 130 1.1× 49 0.5× 66 0.7× 24 1.3k
Paul Tannous United States 8 173 0.6× 852 3.6× 82 0.7× 44 0.4× 44 0.5× 32 1.5k
Rajalakshmi Veeranan‐Karmegam United States 14 91 0.3× 385 1.6× 93 0.8× 24 0.2× 53 0.6× 22 673
Mohamed M. Bekhite Germany 17 96 0.3× 497 2.1× 105 0.9× 24 0.2× 190 2.0× 31 1.1k
Tahira Lemtalsi United States 17 75 0.2× 391 1.7× 70 0.6× 122 1.2× 211 2.3× 33 1.0k
Lidia Villanova Italy 16 390 1.3× 682 2.9× 360 3.2× 51 0.5× 172 1.8× 17 1.4k
Deguan Lv China 18 175 0.6× 561 2.4× 265 2.3× 31 0.3× 143 1.5× 25 1.1k
Robert Mott United States 11 40 0.1× 519 2.2× 84 0.7× 162 1.6× 88 0.9× 14 1.0k

Countries citing papers authored by Dagmar Schumacher

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Schumacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmar Schumacher

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

All Works

14 of 14 papers shown
1.
Pop‐Busui, Rodica, Enrico Repetto, Jason M. Baron, et al.. (2025). Screening Natriuretic Peptide Levels Predicts Heart Failure and Death in Individuals With Type 1 and Type 2 Diabetes Without Known Heart Failure. Diabetes Care. 48(12). 2145–2153. 1 indexed citations
2.
Gaul, Susanne, Khurrum Shahzad, Ihsan Gadi, et al.. (2022). Novel Nongenetic Murine Model of Hyperglycemia and Hyperlipidemia-Associated Aggravated Atherosclerosis. Frontiers in Cardiovascular Medicine. 9. 813215–813215. 10 indexed citations
3.
Jungmann, Andreas, Staffan Hildebrand, Martin Busch, et al.. (2021). Development of an AAV9-RNAi-mediated silencing strategy to abrogate TRPM4 expression in the adult heart. Pflügers Archiv - European Journal of Physiology. 473(3). 533–546. 4 indexed citations
4.
Schumacher, Dagmar, Marcel S. Woo, Artem Shaposhnykov, et al.. (2020). Contribution of NAADP to Glutamate-Evoked Changes in Ca2+ Homeostasis in Mouse Hippocampal Neurons. Frontiers in Cell and Developmental Biology. 8. 496–496. 9 indexed citations
5.
Schumacher, Dagmar, Eva Riechert, Christoph P. Hofmann, et al.. (2020). Saraf-dependent activation of mTORC1 regulates cardiac growth. Journal of Molecular and Cellular Cardiology. 141. 30–42. 10 indexed citations
6.
Fleming, Thomas, Dagmar Schumacher, F. Mohr, et al.. (2019). Methylglyoxal evokes acute Ca2+ transients in distinct cell types and increases agonist-evoked Ca2+ entry in endothelial cells via CRAC channels. Cell Calcium. 78. 66–75. 11 indexed citations
7.
Egorov, Alexei V., et al.. (2019). TRPC channels are not required for graded persistent activity in entorhinal cortex neurons. Hippocampus. 29(11). 1038–1048. 11 indexed citations
8.
Diehm, Nicolas, Yasushi Ueki, Dagmar Schumacher, et al.. (2019). Endovascular Therapy for Erectile Dysfunction—Who Benefits Most? Insights From a Single-Center Experience. Journal of Endovascular Therapy. 26(2). 181–190. 24 indexed citations
9.
Schumacher, Dagmar, Jakob Morgenstern, Nadine Volk, et al.. (2018). Compensatory mechanisms for methylglyoxal detoxification in experimental & clinical diabetes. Molecular Metabolism. 18. 143–152. 55 indexed citations
10.
Schlotterer, Andrea, Dagmar Schumacher, Ilka Mathar, et al.. (2018). TRPC proteins contribute to development of diabetic retinopathy and regulate glyoxalase 1 activity and methylglyoxal accumulation. Molecular Metabolism. 9. 156–167. 36 indexed citations
11.
Tsvilovskyy, Volodymyr, et al.. (2017). Deletion of Orai2 augments endogenous CRAC currents and degranulation in mast cells leading to enhanced anaphylaxis. Cell Calcium. 71. 24–33. 38 indexed citations
12.
Morgenstern, Jakob, Thomas Fleming, Dagmar Schumacher, et al.. (2016). Loss of Glyoxalase 1 Induces Compensatory Mechanism to Achieve Dicarbonyl Detoxification in Mammalian Schwann Cells. Journal of Biological Chemistry. 292(8). 3224–3238. 67 indexed citations
13.
Schumacher, Dagmar, Boris Strilić, Kishor K. Sivaraj, Nina Wettschureck, & Stefan Offermanns. (2013). Platelet-Derived Nucleotides Promote Tumor-Cell Transendothelial Migration and Metastasis via P2Y2 Receptor. Cancer Cell. 24(1). 130–137. 477 indexed citations breakdown →
14.
Naylor, Jacqueline, et al.. (1997). Comparison of parametrized models for computer-based estimation of diabetic patient glucose response. Medical Informatics. 22(1). 21–34. 12 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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