Peter Kies

900 citations
31 papers · 702 · h-index 13

Impact in

Papers in

Peter Kies

29 papers receiving 682 citations

Peers

Peter Kies
Comparison fields: 5 of 34
  • Cardiology and Cardiovascular Medicine 363
  • Radiology, Nuclear Medicine and Imaging 307
  • Endocrinology, Diabetes and Metabolism 54
  • Internal Medicine 5
  • Pulmonary and Respiratory Medicine 29
Replace Gültekin Karakuş with:
Gültekin Karakuş Türkiye
Sirisha Donekal United States
Charles F. Presti United States
Ajay Kadakkal United States
Edmund M. Herrold United States
Charles R. Cannan United States
Sairia Dass United Kingdom
Gary E. Lane United States
Albert J. DeLuca United States
Tsuyoshi Shimonagata Japan
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Citations per field
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Gültekin Karakuş · 1×
Citations per year

Countries citing papers authored by Peter Kies

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002139
2 2007103
3 200479
4 200964
5 200654
6 201139
7 200732
8 200927
9 200326
10 202025
11 200021
12 201116
13 202314
14 201811
15 20078
16 20098
17 20118
18
[Position paper nuclear cardiology: update 2008].
20096
19 20166
20 20073

About Peter Kies

Peter Kies is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Epidemiology, having authored 31 papers that have together received 702 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (12 papers), Cardiac electrophysiology and arrhythmias (6 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Cardiovascular Effects of Exercise (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Lung Cancer Treatments and Mutations (1 paper), Adrenal and Paraganglionic Tumors (1 paper) and Pulmonary Hypertension Research and Treatments (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (363 citations), Radiology, Nuclear Medicine and Imaging (307 citations), Endocrinology, Diabetes and Metabolism (54 citations), Internal Medicine (5 citations) and Pulmonary and Respiratory Medicine (29 citations). Peter Kies has collaborated with scholars based in Germany, United States and India. Frequent co-authors include Michael Andreas Schäfers, Otmar Schober, Thomas Wichter, Klaus Peter Schäfers, Matthias Paul, Eric Schulze‐Bahr, Lars Eckardt, Lars Stegger, Peter Matheja and GÜNTER E. BREITHARDT. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Nuklearmedizin - NuclearMedicine, Journal of Nuclear Medicine, Circulation and Translational Lung Cancer Research.

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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