Kim Munk
About
Kim Munk is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Surgery.
According to data from OpenAlex, Kim Munk has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 9 papers in Pathology and Forensic Medicine and 5 papers in Surgery. Recurrent topics in Kim Munk's work include Cardiac Ischemia and Reperfusion (9 papers), Cardiac Arrest and Resuscitation (5 papers) and Cardiac, Anesthesia and Surgical Outcomes (5 papers). Kim Munk is often cited by papers focused on Cardiac Ischemia and Reperfusion (9 papers), Cardiac Arrest and Resuscitation (5 papers) and Cardiac, Anesthesia and Surgical Outcomes (5 papers). Kim Munk collaborates with scholars based in Denmark, United Kingdom and Canada. Kim Munk's co-authors include Hans Erik Bøtker, Michael Rahbek Schmidt, N.H. Andersen, Henrik Toft Sørensen, Rajesh Kharbanda, Andrew N. Redington, Christian Juhl Terkelsen, Søren Steen Nielsen, Torsten T. Nielsen and Morten Bøttcher and has published in prestigious journals such as The Lancet, Circulation and Journal of the American College of Cardiology.
In The Last Decade
Kim Munk
25 papers receiving 1.4k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Kim Munk Denmark | 13 | 981 | 681 | 557 | 530 | 260 | 25 | 1.4k | ||
| Shyam Kolvekar United Kingdom | 18 | 1.4k 1.4× | 959 1.4× | 931 1.7× | 687 1.3× | 348 1.3× | 42 | 2.2k | ||
| Luciano Candilio United Kingdom | 15 | 662 0.7× | 507 0.7× | 447 0.8× | 347 0.7× | 253 1.0× | 48 | 1.2k | ||
| Philippe J. Van der Linden Belgium | 14 | 421 0.4× | 323 0.5× | 360 0.6× | 583 1.1× | 375 1.4× | 26 | 1.2k | ||
| J. Andreas Hoschtitzky United Kingdom | 8 | 499 0.5× | 323 0.5× | 313 0.6× | 152 0.3× | 160 0.6× | 18 | 719 | ||
| John Pepper United Kingdom | 14 | 368 0.4× | 278 0.4× | 222 0.4× | 584 1.1× | 305 1.2× | 38 | 1.2k | ||
| Kiyozo Morita Japan | 17 | 385 0.4× | 250 0.4× | 131 0.2× | 223 0.4× | 243 0.9× | 75 | 783 | ||
| Vesa Anttila Finland | 20 | 314 0.3× | 187 0.3× | 183 0.3× | 404 0.8× | 383 1.5× | 77 | 1.2k | ||
| Kai Ihnken United States | 20 | 461 0.5× | 302 0.4× | 127 0.2× | 253 0.5× | 366 1.4× | 53 | 947 | ||
| Anna S. Ghini Italy | 16 | 230 0.2× | 136 0.2× | 111 0.2× | 520 1.0× | 378 1.5× | 27 | 866 | ||
| Bingyang Ji China | 21 | 283 0.3× | 398 0.6× | 149 0.3× | 318 0.6× | 494 1.9× | 75 | 1.1k |
Countries citing papers authored by Kim Munk
Since
Specialization
Citations
This map shows the geographic impact of Kim Munk'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 Munk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Munk more than expected).
Fields of papers citing papers by Kim Munk
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Kim Munk. 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 Munk. The network helps show where Kim Munk may publish in the future.
Co-authorship network of co-authors of Kim Munk
This figure shows the co-authorship network connecting the top 25 collaborators of Kim Munk. A scholar is included among the top collaborators of Kim Munk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kim Munk. Kim Munk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Smerup, Morten, Dorte Guldbrand Nielsen, Henrik Nissen, et al.. (2023). Temporal changes in the surgical management of patients with tetralogy of Fallot in Denmark: a nationwide cohort study. European Journal of Cardio-Thoracic Surgery. 63(2).
2.
Munk, Kim, et al.. (2023). Transesophageal echocardiography of cardiac function in Nile crocodiles – A novel tool for assessing complex hemodynamic patterns. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 288. 111564–111564.
3.
Kazankov, Konstantin, Kim Munk, Kristian Altern Øvrehus, et al.. (2017). High burden of coronary atherosclerosis in patients with cirrhosis. European Journal of Clinical Investigation. 47(8). 565–573.
4.
Munk, Kim, et al.. (2017). Right heart masses demonstrated by echocardiography in a patient with amniotic fluid embolism during labour. Acta Anaesthesiologica Scandinavica. 62(1). 134–137.
5.
Pryds, Kasper, Morten Bøttcher, Astrid Drivsholm Sloth, et al.. (2016). Influence of preinfarction angina and coronary collateral blood flow on the efficacy of remote ischaemic conditioning in patients with ST segment elevation myocardial infarction: post hoc subgroup analysis of a randomised controlled trial. BMJ Open. 6(11). e013314–e013314.
6.
Pryds, Kasper, Christian Juhl Terkelsen, Astrid Drivsholm Sloth, et al.. (2016). Remote ischaemic conditioning and healthcare system delay in patients with ST-segment elevation myocardial infarction. Heart. 102(13). 1023–1028.
7.
Sloth, Astrid Drivsholm, Michael Rahbek Schmidt, Kim Munk, et al.. (2015). Impact of cardiovascular risk factors and medication use on the efficacy of remote ischaemic conditioning: post hoc subgroup analysis of a randomised controlled trial. BMJ Open. 5(4). e006923–e006923.
8.
Pryds, Kasper, Christian Juhl Terkelsen, Astrid Drivsholm Sloth, et al.. (2014). Abstract 11562: Remote Ischemic Conditioning Attenuates the Effect of System Delay in STEMI Patients Treated With Primary Percutaneous Coronary Intervention. Circulation. 130.
9.
Bjerre, Mette, Kim Munk, Astrid Drivsholm Sloth, et al.. (2014). High osteoprotegerin levels predict MACCE in STEMI patients, but are not associated with myocardial salvage. Scandinavian Cardiovascular Journal. 48(4). 209–215.
10.
Pedersen, E. B., et al.. (2014). High pulse pressure is not associated with abnormal activation of the renin–angiotensin–aldosterone system in repaired aortic coarctation. Journal of Human Hypertension. 29(4). 268–273.
11.
Ommen, Hans Beier, et al.. (2014). Fatal haemolytic crisis with microvascular pulmonary obstruction mimicking a pulmonary embolism in a young African man with glucose-6-phosphate dehydrogenase deficiency. BMJ Case Reports. 2014. bcr2013201432–bcr2013201432.
12.
Clemmensen, Tor Skibsted, et al.. (2013). Twenty years’ experience at the Heart Transplant Center, Aarhus University Hospital, Skejby, Denmark. Scandinavian Cardiovascular Journal. 47(6). 322–328.
13.
Sloth, Astrid Drivsholm, Michael Rahbek Schmidt, Kim Munk, et al.. (2012). TCT-63 Remote Ischemic Perconditioning Improves Long-Term Clinical Outcome in Patients Undergoing Primary Percutaneous Coronary Intervention for ST-Elevation Myocardial Infarction. Journal of the American College of Cardiology. 60(17). B20–B20.
14.
Munk, Kim, N.H. Andersen, Christian Juhl Terkelsen, et al.. (2012). Global Left Ventricular Longitudinal Systolic Strain for Early Risk Assessment in Patients with Acute Myocardial Infarction Treated with Primary Percutaneous Intervention. Journal of the American Society of Echocardiography. 25(6). 644–651.
15.
Munk, Kim, et al.. (2011). High Long-term Morbidity in Repaired Aortic Coarctation. Congenital Heart Disease. 6(6). 573–582.
16.
Bøtker, Hans Erik, Rajesh Kharbanda, Michael Rahbek Schmidt, et al.. (2010). Remote ischaemic conditioning before hospital admission, as a complement to angioplasty, and effect on myocardial salvage in patients with acute myocardial infarction: a randomised trial. The Lancet. 375(9716). 727–734.
17.
Munk, Kim, N.H. Andersen, Søren Saxmose Nielsen, et al.. (2010). Global longitudinal strain by speckle tracking for infarct size estimation. European Journal of Echocardiography. 12(2). 156–165.
18.
Munk, Kim, N.H. Andersen, Michael Rahbek Schmidt, et al.. (2010). Remote Ischemic Conditioning in Patients With Myocardial Infarction Treated With Primary Angioplasty. Circulation Cardiovascular Imaging. 3(6). 656–662.
19.
Munk, Kim, et al.. (2009). Takotsubo cardiomyopathy. An important differential diagnosis to acute myocardial infarction.. PubMed. 56(3). 165–8.
20.
Poulsen, Steen Hvitfeldt, et al.. (2008). Ventricular Septal Rupture Complicating Acute Myocardial Infarction: Clinical Characteristics and Contemporary Outcome. The Annals of Thoracic Surgery. 85(5). 1591–1596.
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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