Daniel Sedding

124 papers receiving 4.7k 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 · 256 citations
2560+8+16Years since publication200400600

Peers

Daniel Sedding
Comparison fields: 5 of 134
  • Cancer Research 702
  • Immunology 852
  • Hematology 416
  • Cardiology and Cardiovascular Medicine 827
  • Immunology and Allergy 203
Replace Satoshi Fujii with:
Satoshi Fujii Japan
Jean‐Baptiste Michel France
Mukesh K. Jain United States
Felix C. Tanner Switzerland
Luigi Giusto Spagnoli Italy
Ying� Qin China
Zamaneh Kassiri Canada
Bruce A. Hug United States
Elsa Sánchez‐López Spain
Bernhard Metzler Austria
Daniel Sedding relative to Satoshi Fujii Japan Satoshi Fujii's profile →
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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 137 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 →
2002693
2 2007423
3
The IL-1β, IL-6, and TNF cytokine triad is associated with post-acute sequelae of COVID-19
Hit paper breakdown →
2022256
4 2014216
5 2018172
6 2015165
7 2019135
8 2005134
9 2014117
10 2005108
11 200594
12 200888
13 201580
14 201075
15 200771
16 200664
17 200964
18 200364
19 200863
20 200462

About Daniel Sedding

Daniel Sedding is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Cancer Research and Immunology, having authored 137 papers that have together received 4.8k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (13 papers), Coronary Interventions and Diagnostics (13 papers), Cell Adhesion Molecules Research (9 papers), MicroRNA in disease regulation (9 papers), Cardiac Imaging and Diagnostics (8 papers), Atherosclerosis and Cardiovascular Diseases (8 papers), COVID-19 and Mental Health (8 papers) and COVID-19 Clinical Research Studies (8 papers). The work is most often cited by research in Cancer Research (702 citations), Immunology (852 citations), Hematology (416 citations), Cardiology and Cardiovascular Medicine (827 citations) and Immunology and Allergy (203 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, Arteriosclerosis Thrombosis and Vascular Biology, PLoS ONE 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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