Kai Andersen

913 citations
16 papers · 746 · h-index 11

Impact in

Papers in

Kai Andersen

16 papers receiving 708 citations

Peers

Kai Andersen
Comparison fields: 5 of 31
  • Cardiology and Cardiovascular Medicine 300
  • Epidemiology 275
  • Pulmonary and Respiratory Medicine 187
  • Endocrinology, Diabetes and Metabolism 75
  • Surgery 147
Replace Giuseppe Trianni with:
Giuseppe Trianni Italy
Javier León Jiménez Spain
Gürkan Altun Türkiye
Jennifer Nash United Kingdom
Anita Kalapos Hungary
Marcin Zeman Poland
Daxin Zhou China
S. Cheung China
Péter Domsik Hungary
Sadahiro Sai Japan
Kai Andersen relative to Giuseppe Trianni Italy Giuseppe Trianni's profile →
Citations per field
00.5×2×4×5.7×
Giuseppe Trianni · 1×
Citations per year

Countries citing papers authored by Kai Andersen

Since Specialization
Citations

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

Fields of papers citing papers by Kai Andersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2007244
2 2007109
3 198085
4 201175
5 200955
6 200940
7 200730
8 199725
9 199821
10 200720
11 200713
12 201911
13 20118
14
Minimally invasive direct coronary artery bypass grafting without cardiopulmonary bypass in combination with intraoperative percutaneous transluminal coronary angioplasty for palliative coronary revascularization in a heart transplant recipient.
19985
15 20083
16 20122

About Kai Andersen

Kai Andersen is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Genetics, having authored 16 papers that have together received 746 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (4 papers), Connective tissue disorders research (3 papers), Cardiovascular Function and Risk Factors (2 papers), Aortic aneurysm repair treatments (2 papers), Cardiac and Coronary Surgery Techniques (2 papers), Aortic Disease and Treatment Approaches (2 papers), Cardiac Valve Diseases and Treatments (2 papers) and Cardiac Structural Anomalies and Repair (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (300 citations), Epidemiology (275 citations), Pulmonary and Respiratory Medicine (187 citations), Endocrinology, Diabetes and Metabolism (75 citations) and Surgery (147 citations). Kai Andersen has collaborated with scholars based in Norway, United Kingdom and Denmark. Frequent co-authors include Eirik Pettersen, Hans‐Jørgen Smith, Thor Edvardsen, Bjarne Smevik, Otto Armin Smiseth, Harald Lauritz Lindberg, Thomas M. Helle-Valle, Knut Lote, I. O. Brennhovd and Jan Ludvig Svennevig. Their work appears in journals such as The Annals of Thoracic Surgery, Circulation, Scandinavian Cardiovascular Journal, Cancer and The American Journal of Cardiology.

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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