Morten Bay

416 total citations
9 papers, 342 citations indexed

About

Morten Bay is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Morten Bay has authored 9 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 3 papers in Epidemiology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Morten Bay's work include Heart Failure Treatment and Management (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Cardiac Valve Diseases and Treatments (2 papers). Morten Bay is often cited by papers focused on Heart Failure Treatment and Management (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Cardiac Valve Diseases and Treatments (2 papers). Morten Bay collaborates with scholars based in Denmark, Australia and United Kingdom. Morten Bay's co-authors include Vibeke Kirk, Olav Wendelboe Nielsen, Lars Køber, Gunnar Gislason, Christian Torp‐Pedersen, Thomas Kümler, Søren Boesgaard, Henrik Nielsen, Jens Peter Gøtze and Kasper Iversen and has published in prestigious journals such as Journal of the American College of Cardiology, BMC Medicine and BMJ Open.

In The Last Decade

Morten Bay

9 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Morten Bay Denmark 7 253 54 46 39 35 9 342
Vibeke Kirk Denmark 10 333 1.3× 65 1.2× 76 1.7× 52 1.3× 37 1.1× 12 467
Valerio Verdiani Italy 11 460 1.8× 54 1.0× 85 1.8× 69 1.8× 22 0.6× 18 536
Suguru Nishigoori Japan 10 209 0.8× 49 0.9× 73 1.6× 110 2.8× 29 0.8× 26 367
Diego Castini Italy 10 226 0.9× 31 0.6× 50 1.1× 71 1.8× 30 0.9× 35 374
Kadir Gürkan Türkiye 14 322 1.3× 87 1.6× 29 0.6× 75 1.9× 34 1.0× 40 451
C.G. Bahuleyan India 11 292 1.2× 39 0.7× 36 0.8× 99 2.5× 26 0.7× 21 370
Sherryn Roth Canada 5 244 1.0× 27 0.5× 55 1.2× 36 0.9× 11 0.3× 5 287
Marie France Séronde France 12 304 1.2× 56 1.0× 24 0.5× 92 2.4× 45 1.3× 16 406
Hakkı Kaya Türkiye 10 129 0.5× 50 0.9× 43 0.9× 41 1.1× 26 0.7× 47 272
Michitaka Nagashima Japan 8 299 1.2× 31 0.6× 69 1.5× 77 2.0× 17 0.5× 14 368

Countries citing papers authored by Morten Bay

Since Specialization
Citations

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

Fields of papers citing papers by Morten Bay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morten Bay

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

All Works

9 of 9 papers shown
1.
Iversen, Kasper, Jens Peter Gøtze, Morten Dalsgaard, et al.. (2014). Risk stratification in emergency patients by copeptin. BMC Medicine. 12(1). 80–80. 21 indexed citations
2.
Lauridsen, Bo Kobberø, Kasper Iversen, Ingrid Hunter, et al.. (2013). ProANP plasma measurement predicts all-cause mortality in acutely hospitalised patients: a cohort study. BMJ Open. 3(11). e003288–e003288. 10 indexed citations
3.
Kastrup, Jens, Naja Dam Mygind, Kasper Iversen, et al.. (2012). THE PROGNOSTIC SIGNIFICANCE OF THE INFLAMMATORY BIOMARKER YKL-40 IN RELATION TO MORTALITY IN ALL-COMERS. A FOLLOW-UP STUDY AFTER 11 YEARS. Journal of the American College of Cardiology. 59(13). E1653–E1653. 1 indexed citations
4.
Iversen, Kasper, Lars Køber, Jens Peter Gøtze, et al.. (2012). Troponin T is a strong marker of mortality in hospitalized patients. International Journal of Cardiology. 168(2). 818–824. 27 indexed citations
6.
Kümler, Thomas, Gunnar Gislason, Vibeke Kirk, et al.. (2008). Accuracy of a Heart Failure Diagnosis in Administrative Registers. European Journal of Heart Failure. 10(7). 658–660. 218 indexed citations
7.
Iversen, Kasper, Olav Wendelboe Nielsen, Christian Hassager, et al.. (2008). Heart Murmur and N-Terminal Pro-Brain Natriuretic Peptide as Predictors of Death in 2977 Consecutive Hospitalized Patients. The American Journal of the Medical Sciences. 335(6). 444–450. 3 indexed citations
8.
Iversen, Kasper, Ane Teisner, Børge Teisner, et al.. (2008). Pregnancy-associated plasma protein A in non-cardiac conditions. Clinical Biochemistry. 41(7-8). 548–553. 13 indexed citations
9.
Nielsen, Olav Wendelboe, Vibeke Kirk, Morten Bay, Søren Boesgaard, & Henrik Nielsen. (2004). Value of N-Terminal Pro Brain Natriuretic Peptide in the Elderly: Data from the Prospective Copenhagen Hospital Heart Failure Study (CHHF). European Journal of Heart Failure. 6(3). 275–279. 20 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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