Almuth Marx

417 total citations
13 papers, 304 citations indexed

About

Almuth Marx is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Almuth Marx has authored 13 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 6 papers in Pulmonary and Respiratory Medicine and 2 papers in Molecular Biology. Recurrent topics in Almuth Marx's work include Heart Failure Treatment and Management (7 papers), Electrolyte and hormonal disorders (3 papers) and Cardiovascular Function and Risk Factors (3 papers). Almuth Marx is often cited by papers focused on Heart Failure Treatment and Management (7 papers), Electrolyte and hormonal disorders (3 papers) and Cardiovascular Function and Risk Factors (3 papers). Almuth Marx collaborates with scholars based in Germany, Serbia and United States. Almuth Marx's co-authors include Stefan Störk, Georg Ertl, Christiane E. Angermann, Joachim Saborowski, Gülmisal Güder, Jürgen Nagel, Andreas Polze, Oliver Hartmann, Karl Wegscheider and Jörg Nährig and has published in prestigious journals such as Journal of Clinical Oncology, European Journal of Cancer and Forest Ecology and Management.

In The Last Decade

Almuth Marx

13 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Almuth Marx Germany 9 134 106 43 37 27 13 304
Meng Lü United States 11 126 0.9× 86 0.8× 22 0.5× 29 0.8× 23 0.9× 31 288
Marc‐Phillip Hitz Germany 7 50 0.4× 93 0.9× 16 0.4× 7 0.2× 26 1.0× 23 191
Daegan Sit Canada 6 87 0.6× 31 0.3× 57 1.3× 15 0.4× 71 2.6× 14 446
Radosław Dębiec United Kingdom 10 139 1.0× 99 0.9× 44 1.0× 15 0.4× 22 0.8× 15 284
Jonathan Fallica United States 9 31 0.2× 82 0.8× 116 2.7× 13 0.4× 26 1.0× 12 349
Keitaro Okamoto Japan 6 34 0.3× 108 1.0× 25 0.6× 32 0.9× 21 0.8× 22 257
Akihito Sasaki Japan 7 81 0.6× 55 0.5× 121 2.8× 18 0.5× 46 1.7× 15 255
Yoshiyasu Okuhara Japan 12 23 0.2× 79 0.7× 33 0.8× 16 0.4× 42 1.6× 43 349

Countries citing papers authored by Almuth Marx

Since Specialization
Citations

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

Fields of papers citing papers by Almuth Marx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Almuth Marx

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

All Works

13 of 13 papers shown
1.
Frey, Anna, Tobias Gassenmaier, Ulrich Hofmann, et al.. (2020). Coagulation Factor XIII Activity Predicts Left Ventricular Remodelling After Acute Myocardial Infarction. ESC Heart Failure. 7(5). 2354–2364. 8 indexed citations
2.
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Düngen, Hans‐Dirk, Verena Tscholl, Danilo Obradović, et al.. (2018). Prognostic Performance of Serial In-Hospital Measurements of Copeptin and Multiple Novel Biomarkers Among Patients with Worsening Heart Failure: Results from the MOLITOR Study. ESC Heart Failure. 5(2). 288–296. 25 indexed citations
4.
Morbach, Caroline, Almuth Marx, Mathias Kaspar, et al.. (2017). Prognostic Potential of Midregional Pro-Adrenomedullin Following Decompensation for Systolic Heart Failure: Comparison with Cardiac Natriuretic Peptides. European Journal of Heart Failure. 19(9). 1166–1175. 26 indexed citations
5.
Marx, Almuth, Stefan Störk, Gülmisal Güder, et al.. (2017). Prognostic significance of serial high-sensitivity troponin I measurements following acute cardiac decompensation-correlation with longer-term clinical outcomes and reverse remodelling. International Journal of Cardiology. 232. 199–207. 6 indexed citations
6.
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Brenner, Susanne, Dominik Berliner, Nikolas Deubner, et al.. (2016). Frequency and prognostic impact of mid-expiratory flow reduction in stable patients six months after hospitalisation for heart failure with reduced ejection fraction. International Journal of Cardiology. 227. 727–733. 6 indexed citations
8.
Hammer, Fabian, Timo Deutschbein, Almuth Marx, et al.. (2015). High evening salivary cortisol is an independent predictor of increased mortality risk in patients with systolic heart failure. International Journal of Cardiology. 203. 69–73. 17 indexed citations
9.
Loncar, Goran, Verena Tscholl, Elvis Tahirović, et al.. (2015). Should Procalcitonin be Measured Routinely in Acute Decompensated Heart Failure?. Biomarkers in Medicine. 9(7). 651–659. 14 indexed citations
10.
11.
Saborowski, Joachim, et al.. (2010). Double sampling for stratification in periodic inventories—Infinite population approach. Forest Ecology and Management. 260(10). 1886–1895. 22 indexed citations
12.
13.
Maier, Sabine, Inko Nimmrich, Almuth Marx, et al.. (2004). DNA methylation profile predicts risk of recurrence in tamoxifen-treated, node-negative breast cancer patients. Journal of Clinical Oncology. 22(14_suppl). 525–525. 1 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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