Daniel Sedding

129 papers receiving 4.9k 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 · 267 citations
2670+8+16Years since publication200400600

Peers

Daniel Sedding
Comparison fields: 5 of 135
  • Cancer Research 552
  • Immunology 744
  • Hematology 363
  • Cardiology and Cardiovascular Medicine 692
  • Genetics 332
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Felix C. Tanner Switzerland
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Krzysztof Reiss United States
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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 139 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 →
2002719
2 2007451
3
The IL-1β, IL-6, and TNF cytokine triad is associated with post-acute sequelae of COVID-19
Hit paper breakdown →
2022267
4 2014222
5 2018182
6 2015174
7 2019143
8 2005139
9 2014121
10 2005113
11 200595
12 200889
13 201580
14 201076
15 200771
16 200366
17 200965
18 200664
19 200863
20 201863

About Daniel Sedding

Daniel Sedding is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Immunology and Cancer Research, having authored 139 papers that have together received 5.0k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (13 papers), Coronary Interventions and Diagnostics (9 papers), MicroRNA in disease regulation (7 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers), Long-Term Effects of COVID-19 (6 papers), Cell Adhesion Molecules Research (5 papers), COVID-19 and Mental Health (5 papers) and Cardiac Imaging and Diagnostics (5 papers). The work is most often cited by research in Cancer Research (552 citations), Immunology (744 citations), Hematology (363 citations), Cardiology and Cardiovascular Medicine (692 citations) and Genetics (332 citations). Daniel Sedding has collaborated with scholars based in Germany, United States and South Korea. Frequent 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. Their work appears in journals such as Cardiovascular Research, European Heart Journal, PLoS ONE, Arteriosclerosis Thrombosis and Vascular Biology and Circulation.

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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