Daniel Sedding

7.2k total citations · 2 hit papers
137 papers, 4.8k citations indexed

About

Daniel Sedding is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Daniel Sedding has authored 137 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 39 papers in Cardiology and Cardiovascular Medicine and 25 papers in Surgery. Recurrent topics in Daniel Sedding's work include Coronary Interventions and Diagnostics (13 papers), Angiogenesis and VEGF in Cancer (13 papers) and MicroRNA in disease regulation (9 papers). Daniel Sedding is often cited by papers focused on Coronary Interventions and Diagnostics (13 papers), Angiogenesis and VEGF in Cancer (13 papers) and MicroRNA in disease regulation (9 papers). Daniel Sedding collaborates with scholars based in Germany, United States and South Korea. Daniel Sedding's co-authors include Ruediger C. Braun‐Dullaeus, Victor J. Dzau, Johann Bauersachs, Jochen Dutzmann, Jan‐Marcus Daniel, Harald Tillmanns, Klaus T. Preissner, Werner Seeger, Ulrike Seay and Alexander C. Langheinrich and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

Daniel Sedding

124 papers receiving 4.7k citations

Hit Papers

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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.

Vascular proliferation and atherosclerosis: New perspectives and therapeutic strategies

2002 693 citations Ruediger C. Braun‐Dullaeus, Daniel Sedding et al. profile →
The IL-1β, IL-6, and TNF cytokine triad is associated with post-acute sequelae of COVID-19

2022 256 citations Christoph Schultheiß, Edith Willscher et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daniel Sedding	1.9k	852	827	771	702	137	4.8k
Satoshi Fujii	1.9k 1.0×	673 0.8×	624 0.8×	417 0.5×	797 1.1×	149	4.5k
Junichi Masuda	1.1k 0.6×	731 0.9×	604 0.7×	910 1.2×	345 0.5×	161	4.8k
Li Ma	1.7k 0.9×	446 0.5×	402 0.5×	748 1.0×	410 0.6×	172	4.9k
D. Schrijvers	1.6k 0.8×	1.7k 2.1×	519 0.6×	780 1.0×	494 0.7×	133	5.4k
Michel Neidhart	2.2k 1.1×	1.7k 2.0×	950 1.1×	926 1.2×	760 1.1×	112	6.5k
Kai M. Schmidt‐Ott	2.1k 1.1×	354 0.4×	471 0.6×	686 0.9×	281 0.4×	106	5.8k
Jan Hinrich Bräsen	2.0k 1.0×	1.2k 1.4×	600 0.7×	1.1k 1.4×	457 0.7×	134	5.4k
Jan‐Luuk Hillebrands	1.5k 0.8×	745 0.9×	603 0.7×	1.2k 1.6×	248 0.4×	173	6.1k
Christopher D. Kontos	3.2k 1.7×	538 0.6×	584 0.7×	662 0.9×	742 1.1×	88	5.1k
Mukesh K. Jain	2.2k 1.1×	678 0.8×	491 0.6×	589 0.8×	619 0.9×	68	4.1k

Countries citing papers authored by Daniel Sedding

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Sedding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Sedding

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

All Works

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20 of 20 papers shown

Dutzmann, Jochen, Jan‐Marcus Daniel, Kevin Croce, et al.. (2025). Adventitial Fibroblasts Release Interleukin 6 After Vascular Injury and Induce Smooth Muscle Cell Proliferation and Neointima Formation. Journal of the American Heart Association. 14(14). e040143–e040143.

Binder, Mascha, Daniel Sedding, Thomas Frese, et al.. (2024). Differential associations between SARS-CoV-2 infection, perceived burden of the pandemic and mental health in the German population-based cohort for digital health research. Psychiatry Research. 341. 116140–116140.

Haerting, Johannes, Daniel Sedding, Karl Werdan, et al.. (2024). Impact of QRS misclassifications on heart-rate-variability parameters (results from the CARLA cohort study). PLoS ONE. 19(6). e0304893–e0304893.

Kuhlmann, Alexander, Jonas Rosendahl, Mascha Binder, et al.. (2024). Household transmission of Omicron variant of SARS-CoV-2 under conditions of hybrid immunity—a prospective study in Germany. Infection. 53(1). 221–230. 1 indexed citations

Böttcher, Sebastian, Kathrin Kalies, Jochen Dutzmann, et al.. (2023). Circular decoys sponge miR-21 and miR-146a in senescent vascular cells. Atherosclerosis. 379. S30–S31.

Klee, Bianca, Mascha Binder, Thomas Frese, et al.. (2023). Regional Differences in Uptake of Vaccination against COVID-19 and Influenza in Germany: Results from the DigiHero Cohort. Vaccines. 11(11). 1640–1640. 5 indexed citations

Klee, Bianca, Cornelia Gottschick, Anja Broda, et al.. (2023). Anxiety, depressive symptoms, and distress over the course of the war in Ukraine in three federal states in Germany. Frontiers in Psychiatry. 14. 1167615–1167615. 13 indexed citations

Tavolinejad, Hamed, et al.. (2023). Effectiveness of conduction system pacing for cardiac resynchronization therapy: A systematic review and network meta‐analysis. Journal of Cardiovascular Electrophysiology. 34(11). 2342–2359. 9 indexed citations

Dutzmann, Jochen, Jan‐Marcus Daniel, Hubert Gufler, et al.. (2022). Effect of intermittent fasting after ST-elevation myocardial infarction on left ventricular function: study protocol of a pilot randomised controlled trial (INTERFAST-MI). BMJ Open. 12(4). e050067–e050067. 3 indexed citations

10.

Schultheiß, Christoph, Edith Willscher, Lisa Paschold, et al.. (2022). Liquid biomarkers of macrophage dysregulation and circulating spike protein illustrate the biological heterogeneity in patients with post‐acute sequelae of COVID‐19. Journal of Medical Virology. 95(1). e28364–e28364. 52 indexed citations

11.

Noutsias, Michel, Hannes Melnyk, Muhammad Ali, et al.. (2020). Dual device closure of a bilobar left atrial appendage with a plug (Watchman 2.5™ 30 mm) and a pacifier (Amulet™ 20 mm) device. Hellenic Journal of Cardiology. 62(1). 81–83. 2 indexed citations

12.

Klingenberg, Melanie, et al.. (2019). Biochemical Myogenic Differentiation of Adipogenic Stem Cells Is Donor Dependent and Requires Sound Characterization. Tissue Engineering Part A. 25(13-14). 936–948. 8 indexed citations

13.

Akin, Muharrem, Jan‐Thorben Sieweke, Jörn Tongers, et al.. (2018). Mortality in Patients With Out-of-Hospital Cardiac Arrest Undergoing a Standardized Protocol Including Therapeutic Hypothermia and Routine Coronary Angiography. JACC: Cardiovascular Interventions. 11(18). 1811–1820. 30 indexed citations

14.

Riehle, Christian, Jan‐Thorben Sieweke, Ulrike Flierl, et al.. (2017). Leukocytoclastic vasculitis associated with endocarditis in a patient with transposition of the great arteries and mechanical valve replacement. Cardiovascular Pathology. 27. 68–70.

15.

Sedding, Daniel, et al.. (2016). Abstract 19359: Inhibition of miR-146a Attenuates Neointima Formation. Circulation. 134. 2 indexed citations

16.

Daniel, Jan‐Marcus, Christoph A. Reichel, Jochen Dutzmann, et al.. (2016). Factor VII‐activating protease deficiency promotes neointima formation by enhancing leukocyte accumulation. Journal of Thrombosis and Haemostasis. 14(10). 2058–2067. 14 indexed citations

17.

Liebetrau, Christoph, Daniel Sedding, Christian Troidl, et al.. (2012). BIORENERV-REGISTER: KIDNEY-INJURY-MOLECULE-1 (KIM-1) AS A BIOMARKER FOR DAMAGE IN PROXIMAL RENAL TUBULE SYSTEM AFTER RENAL DENERVATION. Journal of the American College of Cardiology. 59(13). E1717–E1717.

18.

Stieger, Philipp, Mathias Grebe, Jan‐Marcus Daniel, et al.. (2010). Abstract 20299: Depletion of Extracellular RNA Improves Survival after Myocardial Infarction Reducing Vascular Permeability, Edema Formation and Myocardial Tissue Damage. Circulation. 122. 1 indexed citations

19.

Sedding, Daniel, Jan‐Marcus Daniel, Lars Muhl, et al.. (2006). The G534E polymorphism of the gene encoding the factor VII–activating protease is associated with cardiovascular risk due to increased neointima formation. The Journal of Experimental Medicine. 203(13). 2801–2807. 64 indexed citations

20.

Sedding, Daniel, Ulrike Seay, Oliver Eickelberg, et al.. (2005). Caveolin-1 Facilitates Mechanosensitive Protein Kinase B (Akt) Signaling In Vitro and In Vivo. Circulation Research. 96(6). 635–642. 134 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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