Daniel Kuetting

3.1k citations
142 papers · 2.1k · h-index 25

Impact in

Papers in

Daniel Kuetting

127 papers receiving 2.1k citations

Peers

Daniel Kuetting
Comparison fields: 5 of 82
  • Cardiology and Cardiovascular Medicine 699
  • Hepatology 161
  • Radiology, Nuclear Medicine and Imaging 437
  • Health Informatics 20
  • Internal Medicine 32
Replace Julian A. Luetkens with:
Julian A. Luetkens Germany
Anton Faron Germany
Alexis Jacquier France
Amr E. Abbas United States
Joonghyun Ahn South Korea
William P. Shuman United States
Christoph Gräni Switzerland
Krishna Patel United States
Iain D. C. Kirkpatrick Canada
Benjamin H. Freed United States
Daniel Kuetting relative to Julian A. Luetkens Germany Julian A. Luetkens's profile →
Citations per field
00.5×1.5×
Julian A. Luetkens · 1×
Citations per year

Countries citing papers authored by Daniel Kuetting

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kuetting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Kuetting, 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 Kuetting Line = papers co-authored together Daniel Kuetting links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019151
2 2015127
3 2018117
4 201696
5 202084
6 201977
7 201862
8 202358
9 201753
10 201545
11 202043
12 201841
13 202139
14 202333
15 202133
16 201832
17 202432
18 201430
19 201828
20 201928

About Daniel Kuetting

Daniel Kuetting is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Epidemiology and Hepatology, having authored 142 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (14 papers), Cardiovascular Disease and Adiposity (14 papers), Liver Disease Diagnosis and Treatment (10 papers), Viral Infections and Immunology Research (10 papers), Advanced X-ray and CT Imaging (8 papers), Liver Disease and Transplantation (8 papers), Cardiovascular Function and Risk Factors (8 papers) and Advanced MRI Techniques and Applications (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (699 citations), Hepatology (161 citations), Radiology, Nuclear Medicine and Imaging (437 citations), Health Informatics (20 citations) and Internal Medicine (32 citations). Daniel Kuetting has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Julian A. Luetkens, Alois M. Sprinkart, Daniel Thomas, Hans H. Schild, Darius Dabir, Alexander Isaak, Ulrike Attenberger, Anton Faron, Frederic Carsten Schmeel and Claus C. Pieper. Their work appears in journals such as Scientific Reports, Journal of Cardiovascular Magnetic Resonance, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, European Radiology and Radiology.

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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