Kim Sivesgaard

503 citations
15 papers · 374 · h-index 6

Impact in

    • Cancer Genomics and Diagnostics
    • Pancreatic and Hepatic Oncology Research
    • Colorectal Cancer Treatments and Studies
    • Cancer Cells and Metastasis

Papers in

Kim Sivesgaard

15 papers receiving 371 citations

Peers

Kim Sivesgaard
Comparison fields: 5 of 42
  • Cancer Research 201
  • Oncology 134
  • Pathology and Forensic Medicine 85
  • Hepatology 26
  • Pulmonary and Respiratory Medicine 69
Replace Elisabetta Fenocchio with:
Elisabetta Fenocchio Italy
Brita B. Jensen Denmark
R. Ciérvide Spain
Emily E. Van Seventer United States
Joëlle Egreteau France
G. Bruixola Spain
Carlo Materazzo Italy
Shigeru Yamagishi Japan
Michela Lia Italy
Kim Sivesgaard relative to Elisabetta Fenocchio Italy Elisabetta Fenocchio's profile →
Citations per field
00.5×
Elisabetta Fenocchio · 1×
Citations per year

Countries citing papers authored by Kim Sivesgaard

Since Specialization
Citations

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

Fields of papers citing papers by Kim Sivesgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2017234
2 201859
3 200936
4
Traditional SCORE-based health check fails to identify individuals who develop acute myocardial infarction.
201310
5 20168
6 20115
7 20204
8 20094
9 20214
10 20192
11 20172
12 20102
13 20202
14 20091
15 20251

About Kim Sivesgaard

Kim Sivesgaard is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Hepatology, Cardiology and Cardiovascular Medicine and Surgery, having authored 15 papers that have together received 374 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Cardiovascular Function and Risk Factors (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Liver Disease Diagnosis and Treatment (1 paper), Cancer Genomics and Diagnostics (1 paper) and Enhanced Recovery After Surgery (1 paper). The work is most often cited by research in Cancer Research (201 citations), Oncology (134 citations), Pathology and Forensic Medicine (85 citations), Hepatology (26 citations) and Pulmonary and Respiratory Medicine (69 citations). Kim Sivesgaard has collaborated with scholars based in Denmark and United States. Frequent co-authors include Frank Viborg Mortensen, Michael Knudsen, Ditte Andreasen, Søren Laurberg, Peter Mouritzen, Sigrid S. Árnadóttir, Philippe Lamy, Søren Vang, Anders Riegels Knudsen and Hans Jørgen Nielsen. Their work appears in journals such as Acta Anaesthesiologica Scandinavica, Clinical Cancer Research, Journal of Magnetic Resonance Imaging, Journal of Cardiothoracic and Vascular Anesthesia and European Journal of Anaesthesiology.

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.

Explore authors with similar magnitude of impact