Daniel Sedding

141 papers receiving 5.8k citations

Daniel Sedding's Hit Papers

The IL-1β, IL-6, and TNF cytokine triad is associated with post-acute sequelae of COVID-19 2022 · 305 citations
3050+8+16Years since publication200400600

Peers

Daniel Sedding
Comparison fields: 5 of 141
  • Immunology 903
  • Cancer Research 571
  • Genetics 406
  • Cardiology and Cardiovascular Medicine 816
  • Hematology 397
Replace Cristiano Alessandri with:
Cristiano Alessandri Italy
Simon C. Satchell United Kingdom
Elsa Sánchez‐López Spain
Jan‐Luuk Hillebrands Netherlands
Mario Schiffer Germany
Luigi Giusto Spagnoli Italy
Christian Hugo Germany
Zamaneh Kassiri Canada
Tsutomu Masaki Japan
Dorien M. Schrijvers Belgium
Daniel Sedding relative to Cristiano Alessandri Italy Cristiano Alessandri's profile →
Citations per field
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Cristiano Alessandri · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Sedding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Sedding Line = papers co-authored together Daniel Sedding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Vascular proliferation and atherosclerosis: New perspectives and therapeutic strategies
Hit paper breakdown →
2002728
2 2007470
3
The IL-1β, IL-6, and TNF cytokine triad is associated with post-acute sequelae of COVID-19
Hit paper breakdown →
2022305
4 2020258
5 2014236
6 2015194
7 2018189
8 2019156
9 2005141
10 2014124
11 2005113
12 200594
13 201492
14 200890
15 202188
16 201587
17 201077
18 200777
19 202069
20 201868

About Daniel Sedding

Daniel Sedding is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research, Immunology, Molecular Biology and Hematology, having authored 151 papers that have together received 5.9k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (11 papers), Coronary Interventions and Diagnostics (10 papers), MicroRNA in disease regulation (7 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers), Circular RNAs in diseases (6 papers), Blood Pressure and Hypertension Studies (5 papers), Long-Term Effects of COVID-19 (5 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Immunology (903 citations), Cancer Research (571 citations), Genetics (406 citations), Cardiology and Cardiovascular Medicine (816 citations) and Hematology (397 citations). Daniel Sedding has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Ruediger Christian Braun-Dullaeus, Victor J. Dzau, Johann K Bauersachs, Jochen Dutzmann, Jan‐Marcus Daniel, Harald Tillmanns, Klaus T. Preissner, Mascha Binder, Axel Haverich and Werner Seeger. Their work appears in journals such as European Heart Journal, Cardiovascular Research, PLoS ONE, Arteriosclerosis Thrombosis and Vascular Biology and Atherosclerosis.

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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