Peter Kappert

1.2k citations
24 papers · 826 · h-index 14

Impact in

Papers in

    • MRI in cancer diagnosis 6
    • Advanced MRI Techniques and Applications 5
    • Cardiac Imaging and Diagnostics 2
    • Radiomics and Machine Learning in Medical Imaging 2
    • Genetic and Kidney Cyst Diseases 7
    • Hemoglobinopathies and Related Disorders 2

Peter Kappert

24 papers receiving 799 citations

Peers

Peter Kappert
Comparison fields: 5 of 82
  • Accounting 227
  • Radiology, Nuclear Medicine and Imaging 211
  • Genetics 209
  • Finance 56
  • Nephrology 35
Replace Annika Wahl with:
Annika Wahl Germany
Hideki Kanda Japan
Zahid Bashir Pakistan
Dana Wang United States
Vítor Cavalcanti da Trindade Brazil
Joachim Rupp Germany
Fatma Ben Moussa Tunisia
James Austin Hanson United States
Krishna Prasad India
Vincenzo Farina Italy
Peter Kappert relative to Annika Wahl Germany Annika Wahl's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter Kappert

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kappert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010271
2 201077
3 201572
4 201363
5 201939
6 201538
7 201136
8 201133
9 200631
10 201124
11 201720
12 200019
13 201019
14 200818
15 200613
16 200610
17 201010
18 20158
19 20167
20 20165

About Peter Kappert

Peter Kappert is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Genetics, Hematology and Epidemiology, having authored 24 papers that have together received 826 indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (7 papers), MRI in cancer diagnosis (6 papers), Advanced MRI Techniques and Applications (5 papers), Iron Metabolism and Disorders (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Accounting (227 citations), Radiology, Nuclear Medicine and Imaging (211 citations), Genetics (209 citations), Finance (56 citations) and Nephrology (35 citations). Peter Kappert has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Hans Degryse, Peter de Goeij, Paul E. Sijens, Matthijs Oudkerk, Monique D. Dorrius, Paul Baron, Ron T. Gansevoort, Esther Meijer, Eric J. van der Jagt and Hildebrand Dijkstra. Their work appears in journals such as Magnetic Resonance Imaging, American Journal of Kidney Diseases, European Radiology, Journal of Hepatology and International journal of cardiac imaging.

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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