Thomas Scherz

770 total citations · 1 hit paper
15 papers, 621 citations indexed

About

Thomas Scherz is a scholar working on Immunology, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Thomas Scherz has authored 15 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Molecular Biology. Recurrent topics in Thomas Scherz's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (10 papers), Atherosclerosis and Cardiovascular Diseases (4 papers) and Nitric Oxide and Endothelin Effects (3 papers). Thomas Scherz is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (10 papers), Atherosclerosis and Cardiovascular Diseases (4 papers) and Nitric Oxide and Endothelin Effects (3 papers). Thomas Scherz collaborates with scholars based in Austria and Germany. Thomas Scherz's co-authors include Iréne Lang, Andreas Mangold, Thomas M. Hofbauer, Adelheid Panzenböck, Johannes Jakowitsch, Sherin Alias, Christine Bangert, Daniel I. Simon, Klaus Distelmaier and Julia Mascherbauer and has published in prestigious journals such as Circulation Research, Scientific Reports and European Heart Journal.

In The Last Decade

Thomas Scherz

15 papers receiving 616 citations

Hit Papers

Coronary Neutrophil Extracellular Trap Burden and Deoxyri... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Scherz Austria 8 412 206 150 101 82 15 621
Thomas M. Hofbauer Austria 13 566 1.4× 274 1.3× 196 1.3× 166 1.6× 112 1.4× 33 848
Sherin Alias Austria 5 297 0.7× 155 0.8× 158 1.1× 192 1.9× 62 0.8× 6 608
Daniela Laimer Austria 5 306 0.7× 187 0.9× 256 1.7× 109 1.1× 69 0.8× 6 676
Thomas Mawson United States 6 530 1.3× 243 1.2× 134 0.9× 106 1.0× 100 1.2× 8 787
Anna S. Ondracek Austria 12 260 0.6× 148 0.7× 86 0.6× 81 0.8× 48 0.6× 24 436
Adelheid Panzenböck Austria 11 372 0.9× 195 0.9× 337 2.2× 237 2.3× 82 1.0× 13 853
Lisa‐Marie Mauracher Austria 12 338 0.8× 158 0.8× 62 0.4× 70 0.7× 52 0.6× 16 566
Kévin Guedj France 14 372 0.9× 118 0.6× 220 1.5× 83 0.8× 100 1.2× 17 779
Eirini Apostolidou United States 6 262 0.6× 109 0.5× 106 0.7× 64 0.6× 59 0.7× 15 410
Daniel Söderberg Sweden 8 296 0.7× 172 0.8× 80 0.5× 243 2.4× 65 0.8× 9 515

Countries citing papers authored by Thomas Scherz

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Scherz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Scherz

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

All Works

15 of 15 papers shown
1.
Ondracek, Anna S., Taras Afonyushkin, Thomas Köller, et al.. (2024). Malondialdehyde-specific natural IgM inhibit NETosis triggered by culprit site–derived extracellular vesicles from myocardial infarction patients. European Heart Journal. 46(10). 926–939. 5 indexed citations
2.
Ondracek, Anna S., Thomas M. Hofbauer, Thomas Scherz, et al.. (2024). Circulating nucleases degrade high-molecular-weight cell-free DNA in coronary vessels during acute myocardial infarction. European Heart Journal. 45(Supplement_1). 1 indexed citations
3.
Mangold, Andreas, Anna S. Ondracek, Thomas M. Hofbauer, et al.. (2021). Culprit site extracellular DNA and microvascular obstruction in ST-elevation myocardial infarction. Cardiovascular Research. 118(8). 2006–2017. 27 indexed citations
4.
Scherz, Thomas, Thomas M. Hofbauer, Anna S. Ondracek, et al.. (2021). Mild Therapeutic Hypothermia Alters Hemostasis in ST Elevation Myocardial Infarction Patients. Frontiers in Cardiovascular Medicine. 8. 707367–707367. 1 indexed citations
5.
Dannenberg, Varius, Matthias Schneider, Stefan Kastl, et al.. (2021). Exploratory echocardiographic strain parameters for the estimation of myocardial infarct size in ST‐elevation myocardial infarction. Clinical Cardiology. 44(7). 925–931. 4 indexed citations
6.
Hofbauer, Thomas M., Andreas Mangold, Anna S. Ondracek, et al.. (2021). Deoxyribonuclease 1 Q222R single nucleotide polymorphism and long-term mortality after acute myocardial infarction. Basic Research in Cardiology. 116(1). 29–29. 13 indexed citations
7.
Müeller, Matthias, Dietrich Beitzke, Thomas Scherz, et al.. (2021). Copeptin Levels Are Independent from Mild Therapeutic Hypothermia but Do Not Predict Infarct Size in Patients Presenting with ST-Segment Elevation Myocardial Infarction. Journal of Cardiovascular Development and Disease. 8(10). 131–131. 1 indexed citations
8.
Hofbauer, Thomas M., Anna S. Ondracek, Andreas Mangold, et al.. (2020). Neutrophil Extracellular Traps Induce MCP-1 at the Culprit Site in ST-Segment Elevation Myocardial Infarction. Frontiers in Cell and Developmental Biology. 8. 564169–564169. 31 indexed citations
9.
Mangold, Andreas, Thomas M. Hofbauer, Anna S. Ondracek, et al.. (2019). Neutrophil extracellular traps and monocyte subsets at the culprit lesion site of myocardial infarction patients. Scientific Reports. 9(1). 16304–16304. 32 indexed citations
10.
Hofbauer, Thomas M., Andreas Mangold, Thomas Scherz, et al.. (2019). Neutrophil extracellular traps and fibrocytes in ST-segment elevation myocardial infarction. Basic Research in Cardiology. 114(5). 33–33. 69 indexed citations
11.
Hofbauer, Thomas M., Thomas Scherz, Anna S. Ondracek, et al.. (2018). P149Angiotensin-II enhances neutrophil extracellular trap formation in an AT1R and NADPH oxidase-dependent manner. Cardiovascular Research. 114(suppl_1). S39–S39. 2 indexed citations
12.
Testori, Christoph, Dietrich Beitzke, Andreas Mangold, et al.. (2018). Out-of-hospital initiation of hypothermia in ST-segment elevation myocardial infarction: a randomised trial. Heart. 105(7). 531–537. 32 indexed citations
13.
Hofbauer, Thomas M., Thomas Scherz, Julian Müller, et al.. (2017). Arterial hypertension enhances neutrophil extracellular trap formation via an angiotensin-II-dependent pathway. Atherosclerosis. 263. e67–e68. 11 indexed citations
14.
Mangold, Andreas, Sherin Alias, Thomas Scherz, et al.. (2014). Coronary Neutrophil Extracellular Trap Burden and Deoxyribonuclease Activity in ST-Elevation Acute Coronary Syndrome Are Predictors of ST-Segment Resolution and Infarct Size. Circulation Research. 116(7). 1182–1192. 391 indexed citations breakdown →
15.
Mangold, Andreas, Thomas Scherz, Sherin Alias, et al.. (2014). P726Coronary NET burden and DNase activity in ST-elevation acute coronary syndrome are predictors of infarct size. Cardiovascular Research. 103(suppl 1). S133.1–S133. 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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