Patrick Veit

600 citations
15 papers · 474 · h-index 11

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Medical Imaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • MRI in cancer diagnosis
    • Advanced MRI Techniques and Applications

Papers in

Patrick Veit

15 papers receiving 452 citations

Peers

Patrick Veit
Comparison fields: 5 of 44
  • Hepatology 92
  • Radiology, Nuclear Medicine and Imaging 227
  • Reproductive Medicine 44
  • Pulmonary and Respiratory Medicine 107
  • Obstetrics and Gynecology 20
Replace J. Stattaus with:
J. Stattaus Germany
Luke Bonello Italy
Andrew Mallia United Kingdom
Yeh You Shen Taiwan
Michael Yong Park South Korea
Tsuyoshi Kawano Japan
Saravanabavaan Suntharalingam Germany
Rony Kampalath United States
Hiroyuki Horikoshi Japan
José Garcia-Ramirez United States
Patrick Veit relative to J. Stattaus Germany J. Stattaus's profile →
Citations per field
00.5×1.5×
J. Stattaus · 1×
Citations per year

Countries citing papers authored by Patrick Veit

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Veit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2005104
2
Assessment of liver tissue after radiofrequency ablation: findings with different imaging procedures.
200569
3 200554
4
Can PET/CT replace separate diagnostic CT for cancer imaging? Optimizing CT protocols for imaging cancers of the chest and abdomen.
200753
5 200546
6 200634
7 200228
8 200525
9 200517
10 200712
11 200611
12 200510
13 20056
14 20113
15 20102

About Patrick Veit

Patrick Veit is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Hepatology, Surgery and Oncology, having authored 15 papers that have together received 474 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Colorectal Cancer Screening and Detection (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Advanced X-ray and CT Imaging (1 paper) and Vasculitis and related conditions (1 paper). The work is most often cited by research in Hepatology (92 citations), Radiology, Nuclear Medicine and Imaging (227 citations), Reproductive Medicine (44 citations), Pulmonary and Respiratory Medicine (107 citations) and Obstetrics and Gynecology (20 citations). Patrick Veit has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Gerald Antoch, Hilmar Kuehl, Andreas Bockisch, Michael Forsting, H Stergar, Andreas Bockisch, Sandra Rosenbaum, Jörg F. Debatin, Lutz S. Freudenberg and Stefan G. Ruehm. Their work appears in journals such as American Journal of Roentgenology, European Journal of Radiology, Investigative Radiology, Journal of Magnetic Resonance Imaging and European Journal of Nuclear Medicine and Molecular 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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