Daniel Finke

990 total citations
20 papers, 372 citations indexed

About

Daniel Finke is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Daniel Finke has authored 20 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 8 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Daniel Finke's work include Chemotherapy-induced cardiotoxicity and mitigation (5 papers), Cardiac Imaging and Diagnostics (4 papers) and Cardiovascular Function and Risk Factors (4 papers). Daniel Finke is often cited by papers focused on Chemotherapy-induced cardiotoxicity and mitigation (5 papers), Cardiac Imaging and Diagnostics (4 papers) and Cardiovascular Function and Risk Factors (4 papers). Daniel Finke collaborates with scholars based in Germany, United States and France. Daniel Finke's co-authors include Lorenz Lehmann, Markus Heckmann, Hugo A. Katus, Florian Leuschner, Uwe Haberkorn, Norbert Frey, Esther Herpel, Hauke Hund, S Banavali and HD Preisler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and European Heart Journal.

In The Last Decade

Daniel Finke

17 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Finke Germany 11 176 166 95 82 74 20 372
Markus Heckmann Germany 12 215 1.2× 217 1.3× 107 1.1× 118 1.4× 76 1.0× 37 479
Yuko Nakazawa Japan 11 125 0.7× 163 1.0× 39 0.4× 62 0.8× 55 0.7× 39 380
Natasha Jeffs United Kingdom 3 230 1.3× 68 0.4× 35 0.4× 202 2.5× 22 0.3× 3 456
Kira Kuschnerus Germany 7 48 0.3× 61 0.4× 44 0.5× 84 1.0× 22 0.3× 12 235
Takeo Higashikata Japan 8 47 0.3× 59 0.4× 86 0.9× 169 2.1× 49 0.7× 17 332
E. Fleck Germany 9 35 0.2× 221 1.3× 89 0.9× 177 2.2× 94 1.3× 19 475
Jenni Virta Finland 12 44 0.3× 71 0.4× 79 0.8× 127 1.5× 106 1.4× 31 390
Dominika Lukovic Austria 12 46 0.3× 211 1.3× 81 0.9× 261 3.2× 33 0.4× 37 516
SQ Khan United Kingdom 5 46 0.3× 226 1.4× 51 0.5× 79 1.0× 20 0.3× 7 411
Baosheng Li United States 5 54 0.3× 201 1.2× 74 0.8× 258 3.1× 20 0.3× 5 445

Countries citing papers authored by Daniel Finke

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Finke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Finke

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Finke. A scholar is included among the top collaborators of Daniel Finke 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 Daniel Finke. Daniel Finke 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.
2.
Finke, Daniel, Hauke Hund, Norbert Frey, Thomas Luft, & Lorenz Lehmann. (2024). EASIX (endothelial activation and stress index) predicts mortality in patients with coronary artery disease. Clinical Research in Cardiology. 114(8). 1008–1018. 12 indexed citations
3.
4.
Heckmann, Markus, Daniel Finke, Hauke Hund, et al.. (2024). Cardiac arrhythmias during and after thoracic irradiation for malignancies. Cardio-Oncology. 10(1). 81–81. 1 indexed citations
5.
Finke, Daniel, Markus Heckmann, Hauke Hund, et al.. (2023). Cardiological Parameters Predict Mortality and Cardiotoxicity in Oncological Patients. ESC Heart Failure. 11(1). 366–377. 6 indexed citations
6.
Finke, Daniel, Markus Heckmann, Hauke Hund, et al.. (2022). Coronary artery disease, left ventricular function and cardiac biomarkers determine all-cause mortality in cancer patients—a large monocenter cohort study. Clinical Research in Cardiology. 112(2). 203–214. 8 indexed citations
7.
Guedeney, Paul, Lorenz Lehmann, Stéphane Éderhy, et al.. (2022). Coronary artery disease and revascularization associated with immune checkpoint blocker myocarditis – report from an international registry. European Heart Journal. 43(Supplement_2). 1 indexed citations
8.
Finke, Daniel, Markus Heckmann, Hauke Hund, et al.. (2021). High-Sensitivity Cardiac Troponin T Determines All-Cause Mortality in Cancer Patients: A Single-Centre Cohort Study. ESC Heart Failure. 8(5). 3709–3719. 20 indexed citations
9.
Finke, Daniel, et al.. (2021). Histone deacetylase 4 deletion broadly affects cardiac epigenetic repression and regulates transcriptional susceptibility via H3K9 methylation. Journal of Molecular and Cellular Cardiology. 162. 119–129. 6 indexed citations
10.
Finke, Daniel, Markus Heckmann, Norbert Frey, & Lorenz Lehmann. (2021). Cancer—A Major Cardiac Comorbidity With Implications on Cardiovascular Metabolism. Frontiers in Physiology. 12. 729713–729713. 25 indexed citations
11.
Finke, Daniel, Markus Heckmann, Esther Herpel, et al.. (2021). Early Detection of Checkpoint Inhibitor-Associated Myocarditis Using 68Ga-FAPI PET/CT. Frontiers in Cardiovascular Medicine. 8. 614997–614997. 65 indexed citations
12.
Finke, Daniel, Markus Heckmann, Janek Salatzki, et al.. (2021). Comparative Transcriptomics of Immune Checkpoint Inhibitor Myocarditis Identifies Guanylate Binding Protein 5 and 6 Dysregulation. Cancers. 13(10). 2498–2498. 28 indexed citations
13.
Michel, Lars, Matthias Totzeck, Lorenz Lehmann, & Daniel Finke. (2020). Emerging role of immune checkpoint inhibitors and their relevance for the cardiovascular system. Herz. 45(7). 645–651. 10 indexed citations
14.
Heckmann, Markus, Daniel Finke, Hugo A. Katus, et al.. (2020). Relationship Between Cardiac Fibroblast Activation Protein Activity by Positron Emission Tomography and Cardiovascular Disease. Circulation Cardiovascular Imaging. 13(9). e010628–e010628. 98 indexed citations
15.
Heckmann, Markus, Daniel Finke, Markus S. Anker, et al.. (2019). Evidence for a Cardiac Metabolic Switch in Patients with Hodgkin's Lymphoma. ESC Heart Failure. 6(4). 824–829. 13 indexed citations
16.
Saadatmand, Ali R., Silvio Weber, Daniel Finke, et al.. (2019). CaM kinase II regulates cardiac hemoglobin expression through histone phosphorylation upon sympathetic activation. Proceedings of the National Academy of Sciences. 116(44). 22282–22287. 12 indexed citations
17.
Veltkamp, Roland, Stefan Uhlmann, Carsten Sticht, et al.. (2018). Experimental ischaemic stroke induces transient cardiac atrophy and dysfunction. Journal of Cachexia Sarcopenia and Muscle. 10(1). 54–62. 30 indexed citations
18.
Finke, Daniel, et al.. (2000). [Metabolic disorders in children with urolithiasis].. PubMed. 8(46). 198–9. 1 indexed citations
19.
Hulette, Ben C., et al.. (1992). Protooncogene expression in subpopulations of cells front leukemia patients. Cytometry. 13(6). 653–658. 9 indexed citations
20.
Preisler, HD, et al.. (1992). Multiparameter assessment of the cell cycle effects of bioactive and cytotoxic agents.. PubMed. 52(15). 4090–5. 27 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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