Marko Noč

6.9k total citations
125 papers, 3.2k citations indexed

About

Marko Noč is a scholar working on Cardiology and Cardiovascular Medicine, Emergency Medicine and Surgery. According to data from OpenAlex, Marko Noč has authored 125 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Cardiology and Cardiovascular Medicine, 71 papers in Emergency Medicine and 39 papers in Surgery. Recurrent topics in Marko Noč's work include Cardiac Arrest and Resuscitation (68 papers), Acute Myocardial Infarction Research (40 papers) and Mechanical Circulatory Support Devices (37 papers). Marko Noč is often cited by papers focused on Cardiac Arrest and Resuscitation (68 papers), Acute Myocardial Infarction Research (40 papers) and Mechanical Circulatory Support Devices (37 papers). Marko Noč collaborates with scholars based in Slovenia, United States and Austria. Marko Noč's co-authors include Peter Radšel, Wanchun Tang, Max Harry Weil, Rihard Knafelj, Shijie Sun, Raúl J. Gazmuri, Matija Horvat, Liying Yang, Špela Tadel Kocjančič and Vojka Gorjup and has published in prestigious journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Marko Noč

115 papers receiving 3.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marko Noč Slovenia 30 2.0k 1.6k 932 874 403 125 3.2k
Hans Domanovits Austria 37 1.2k 0.6× 1.8k 1.1× 301 0.3× 1.2k 1.4× 488 1.2× 157 3.9k
Feng‐Chun Tsai Taiwan 34 865 0.4× 1.2k 0.7× 1.1k 1.1× 1.4k 1.6× 425 1.1× 154 3.0k
Patrick D. Kilgo United States 32 960 0.5× 1.4k 0.9× 239 0.3× 1.4k 1.6× 568 1.4× 66 3.1k
Matthias Kirsch Switzerland 25 431 0.2× 1.5k 0.9× 667 0.7× 1.6k 1.8× 494 1.2× 188 2.9k
D. Michael McMullan United States 27 1.1k 0.6× 645 0.4× 1.8k 1.9× 1.4k 1.6× 703 1.7× 107 3.1k
Anna Mara Scandroglio Italy 22 564 0.3× 558 0.4× 744 0.8× 791 0.9× 153 0.4× 84 2.0k
Heidrun Losert Austria 28 1.7k 0.8× 546 0.3× 419 0.4× 518 0.6× 467 1.2× 72 2.6k
Jerry D. Estep United States 31 1.2k 0.6× 1.5k 1.0× 2.2k 2.4× 2.2k 2.6× 214 0.5× 217 3.6k
Glenn Whitman United States 26 641 0.3× 482 0.3× 711 0.8× 727 0.8× 190 0.5× 111 1.9k
Melania M. Bembea United States 25 1.2k 0.6× 470 0.3× 1.5k 1.6× 805 0.9× 511 1.3× 102 2.7k

Countries citing papers authored by Marko Noč

Since Specialization
Citations

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

Fields of papers citing papers by Marko Noč

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marko Noč

This figure shows the co-authorship network connecting the top 25 collaborators of Marko Noč. A scholar is included among the top collaborators of Marko Noč 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 Marko Noč. Marko Noč is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Pareek, Nilesh, C. Frohmaier, M. Smith, et al.. (2023). A machine learning algorithm to predict a culprit lesion after out of hospital cardiac arrest. Catheterization and Cardiovascular Interventions. 102(1). 80–90. 2 indexed citations
4.
Pareek, Nilesh, Antonio Cannatà, Peter Kordis, et al.. (2022). MIRACLE2 Score and SCAI Grade to Identify Patients With Out-of-Hospital Cardiac Arrest for Immediate Coronary Angiography. JACC: Cardiovascular Interventions. 15(10). 1074–1084. 13 indexed citations
5.
Schrage, Benedikt, Uwe Zeymer, Gilles Montalescot, et al.. (2021). Impact of Center Volume on Outcomes in Myocardial Infarction Complicated by Cardiogenic Shock: A CULPRIT‐SHOCK Substudy. Journal of the American Heart Association. 10(20). e021150–e021150. 3 indexed citations
6.
Freund, Anne, Janine Pöss, Suzanne de Waha‐Thiele, et al.. (2021). Comparison of risk prediction models in infarct-related cardiogenic shock. European Heart Journal Acute Cardiovascular Care. 10(8). 890–897. 10 indexed citations
7.
Feistritzer, Hans‐Josef, Steffen Desch, Anne Freund, et al.. (2020). Prognostic Impact of Active Mechanical Circulatory Support in Cardiogenic Shock Complicating Acute Myocardial Infarction, Results from the Culprit-Shock Trial. Journal of Clinical Medicine. 9(6). 1976–1976. 12 indexed citations
8.
Pareek, Nilesh, Peter Kordis, Dominic Pimenta, et al.. (2020). A practical risk score for early prediction of neurological outcome after out-of-hospital cardiac arrest: MIRACLE2. European Heart Journal. 41(47). 4508–4517. 75 indexed citations
9.
Shanmugasundaram, Madhan, et al.. (2020). Extending Time to Reperfusion with Mild Therapeutic Hypothermia: A New Paradigm for Providing Primary Percutaneous Coronary Intervention to Remote ST Segment Elevation Myocardial Infarction Patients. Therapeutic Hypothermia and Temperature Management. 11(1). 45–52. 3 indexed citations
10.
Freund, Anne, Alexander Jobs, Philipp Lurz, et al.. (2020). Frequency and Impact of Bleeding on Outcome in Patients With Cardiogenic Shock. JACC: Cardiovascular Interventions. 13(10). 1182–1193. 45 indexed citations
11.
Fister, Misa, et al.. (2018). Cardiopulmonary Resuscitation with Extracorporeal Membrane Oxygenation in a Patient with Profound Accidental Hypothermia and Refractory Ventricular Fibrillation. Therapeutic Hypothermia and Temperature Management. 9(1). 86–89. 3 indexed citations
12.
Noč, Marko, et al.. (2017). Abstract 20034: Outcome of Conscious Survivors of Out-of-Hospital Cardiac Arrest. Circulation. 2 indexed citations
13.
Polderman, Kees H., Marko Noč, Michael C. Kurz, & Mayuki Aibiki. (2015). Therapeutic Hypothermia in Post-Cardiac Arrest and Myocardial Infarction. Therapeutic Hypothermia and Temperature Management. 5(4). 193–197. 7 indexed citations
14.
Štajer, Dušan, et al.. (2014). High resolution ECG differences between hospital survivors and non-survivors of out-of-hospital cardiac arrest during mild therapeutic hypothermia. Computing in Cardiology Conference. 1093–1096. 3 indexed citations
15.
Štajer, Dušan, et al.. (2013). High resolution ECG changes in survivors of out-of-hospital cardiac arrest during and after mild therapeutic hypothermia. Computing in Cardiology. 595–598. 3 indexed citations
16.
Grošelj, Urh, et al.. (2006). Abstract 11: Is Therapeutic Hypothermia After Cardiac Arrest Harmful For Diabetic Patients?. Circulation. 114. 1 indexed citations
17.
Larkin, Gregory Luke, et al.. (2003). Efficacy and impact of monophasic versus biphasic countershocks for transthoracic cardioversion of persistent atrial fibrillation. The American Journal of Cardiology. 92(8). 988–991. 23 indexed citations
18.
Horvat, Matija, et al.. (2002). Procalcitonin in patients with acute myocardial infarction.. PubMed. 114(5-6). 205–10. 55 indexed citations
19.
Gorjup, Vojka, et al.. (2000). Acute isoniazid neurotoxicity during preventive therapy. Critical Care Medicine. 28(2). 567–568. 19 indexed citations
20.
Noč, Marko, et al.. (1995). Mechanical Ventilation May Not Be Essential for Initial Cardiopulmonary Resuscitation. CHEST Journal. 108(3). 821–827. 124 indexed citations

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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