Georg Kunze

548 citations
13 papers · 291 · h-index 6

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • MRI in cancer diagnosis
    • Radiomics and Machine Learning in Medical Imaging
    • Ultrasound Imaging and Elastography

Papers in

    • Abdominal Trauma and Injuries 1
    • Hepatocellular Carcinoma Treatment and Prognosis 4

Georg Kunze

10 papers receiving 270 citations

Peers

Georg Kunze
Comparison fields: 5 of 50
  • Hepatology 171
  • Radiology, Nuclear Medicine and Imaging 89
  • Epidemiology 125
  • Critical Care and Intensive Care Medicine 14
  • Biomedical Engineering 74
Replace J.M. Corréas with:
J.M. Corréas United Kingdom
F Albert Germany
Teresa Fontanilla Spain
R. Goertz Germany
Limei Xie China
Ailu Cai China
Alexandra Medellin Canada
Stefanie Adolf Germany
Matthew C. Schwartz United States
Alexandra Deleanu Romania
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Citations per field
00.5×
J.M. Corréas · 1×
Citations per year

Countries citing papers authored by Georg Kunze

Since Specialization
Citations

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

Fields of papers citing papers by Georg Kunze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2008208
2 201526
3 201522
4 201911
5 201710
6 20076
7 20143
8 20202
9 20231
10 20011
11
[Prenatal diagnosis of an intestinal atresia by means of ultrasound - case report and discussion (author's transl)].
19791
12 20190
13 20130

About Georg Kunze

Georg Kunze is a scholar working on Surgery, Hepatology, Pulmonary and Respiratory Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 291 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (4 papers), MRI in cancer diagnosis (2 papers), Ultrasound in Clinical Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Renal Diseases and Glomerulopathies (1 paper), Abdominal Trauma and Injuries (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Hepatology (171 citations), Radiology, Nuclear Medicine and Imaging (89 citations), Epidemiology (125 citations), Critical Care and Intensive Care Medicine (14 citations) and Biomedical Engineering (74 citations). Georg Kunze has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Klaus Dirks, Deike Strobel, T. Bernatik, K. Seitz, Andreas Schüler, Wolfgang Blank, F Albert, Wolfgang Kratzer, M. Staritz and C. Dietrich. Their work appears in journals such as Ultraschall in der Medizin - European Journal of Ultrasound, Ultrasound in Medicine & Biology, Clinical Nephrology, Journal of Ultrasound in Medicine and Notfall + Rettungsmedizin.

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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