Kim Sivesgaard

496 citations
15 papers · 365 · h-index 6

Impact in

Papers in

Kim Sivesgaard

14 papers receiving 361 citations

Peers

Kim Sivesgaard
Comparison fields: 5 of 45
  • Cancer Research 211
  • Pathology and Forensic Medicine 133
  • Oncology 179
  • Hepatology 40
  • Radiology, Nuclear Medicine and Imaging 71
Replace G. Bruixola with:
G. Bruixola Spain
Emily E. Van Seventer United States
Osamu Nakahara Japan
Jung Wook Huh South Korea
H Wotherspoon United Kingdom
Susie Bae Australia
C. Julié France
Yu Jung Kim South Korea
Franco Decian Italy
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Citations per field
00.5×
G. Bruixola · 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 2017230
2 201855
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 20202
11 20172
12 20102
13 20192
14 20091
15 20250

About Kim Sivesgaard

Kim Sivesgaard is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Hepatology, Pathology and Forensic Medicine and Surgery, having authored 15 papers that have together received 365 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cardiovascular Function and Risk Factors (3 papers), Medical Imaging Techniques and Applications (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Anesthesia and Neurotoxicity Research (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (211 citations), Pathology and Forensic Medicine (133 citations), Oncology (179 citations), Hepatology (40 citations) and Radiology, Nuclear Medicine and Imaging (71 citations). Kim Sivesgaard has collaborated with scholars based in Denmark and United States. Frequent co-authors include Frank Viborg Mortensen, Philippe Lamy, Torben F. Ørntoft, Thomas Reinert, Hans Jørgen Nielsen, Sigrid S. Árnadóttir, Iver Nordentoft, Claus L. Andersen, Michael Knudsen and Peter Mouritzen. Their work appears in journals such as Acta Anaesthesiologica Scandinavica, Journal of the American Society of Echocardiography, Clinical Cancer Research, European Journal of Radiology and Scientific Reports.

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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