Lotte Saaby

1.0k total citations
15 papers, 739 citations indexed

About

Lotte Saaby is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Lotte Saaby has authored 15 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Lotte Saaby's work include Acute Myocardial Infarction Research (11 papers), Cardiac Imaging and Diagnostics (6 papers) and Coronary Interventions and Diagnostics (3 papers). Lotte Saaby is often cited by papers focused on Acute Myocardial Infarction Research (11 papers), Cardiac Imaging and Diagnostics (6 papers) and Coronary Interventions and Diagnostics (3 papers). Lotte Saaby collaborates with scholars based in Denmark, Canada and United States. Lotte Saaby's co-authors include Axel Cosmus Pyndt Diederichsen, Tina Svenstrup Poulsen, Susanne Hosbond, Kristian Thygesen, Hans Mickley, Torben Bjerregaard Larsen, Oke Gerke, Jesper Hallas, Hans Mickley and Laura Sarkisian and has published in prestigious journals such as PLoS ONE, The American Journal of Medicine and European Heart Journal.

In The Last Decade

Lotte Saaby

15 papers receiving 688 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lotte Saaby Denmark	11	554	360	187	63	60	15	739
Susanne Hosbond Denmark	13	580 1.0×	364 1.0×	231 1.2×	75 1.2×	101 1.7×	28	862
Guglielmo Gallone Italy	16	403 0.7×	308 0.9×	275 1.5×	47 0.7×	72 1.2×	85	785
Juha Lund Finland	19	932 1.7×	227 0.6×	151 0.8×	17 0.3×	66 1.1×	42	1.1k
Timo Lenderink Netherlands	12	461 0.8×	192 0.5×	211 1.1×	36 0.6×	56 0.9×	30	627
Kyung Hoon Cho South Korea	13	385 0.7×	146 0.4×	333 1.8×	61 1.0×	35 0.6×	81	667
Tuomo Ilva Finland	12	405 0.7×	118 0.3×	87 0.5×	15 0.2×	60 1.0×	14	542
Eduardo de Teresa–Galván Spain	17	542 1.0×	78 0.2×	195 1.0×	37 0.6×	48 0.8×	72	744
Man‐Hong Jim China	15	561 1.0×	187 0.5×	248 1.3×	8 0.1×	121 2.0×	54	788
Deborah L. Morris United States	6	272 0.5×	197 0.5×	123 0.7×	14 0.2×	79 1.3×	13	562
Joséphine Pressacco Canada	15	189 0.3×	205 0.6×	197 1.1×	12 0.2×	52 0.9×	44	670

Countries citing papers authored by Lotte Saaby

Since Specialization

Citations

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

Fields of papers citing papers by Lotte Saaby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lotte Saaby

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

All Works

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15 of 15 papers shown

Sarkisian, Laura, Lotte Saaby, Tina Svenstrup Poulsen, et al.. (2017). Different Causes of Death in Patients with Myocardial Infarction Type 1, Type 2, and Myocardial Injury. The American Journal of Medicine. 131(5). 548–554. 57 indexed citations

Sarkisian, Laura, Lotte Saaby, Søren Mikkelsen, et al.. (2017). Incidence, Frequency, and Clinical Characteristics of Type 3 Myocardial Infarction in Clinical Practice. The American Journal of Medicine. 130(7). 862.e9–862.e14. 14 indexed citations

Gerke, Oke, Axel Cosmus Pyndt Diederichsen, Jess Lambrechtsen, et al.. (2017). The association between uric acid levels and different clinical manifestations of coronary artery disease. Coronary Artery Disease. 29(3). 194–203. 10 indexed citations

Sarkisian, Laura, Lotte Saaby, Tina Svenstrup Poulsen, et al.. (2016). Prognostic Impact of Myocardial Injury Related to Various Cardiac and Noncardiac Conditions. The American Journal of Medicine. 129(5). 506–514.e1. 56 indexed citations

D’Souza, Maria, Laura Sarkisian, Lotte Saaby, et al.. (2015). Diagnosis of Unstable Angina Pectoris Has Declined Markedly with the Advent of More Sensitive Troponin Assays. The American Journal of Medicine. 128(8). 852–860. 38 indexed citations

Sarkisian, Laura, Lotte Saaby, Tina Svenstrup Poulsen, et al.. (2015). Clinical Characteristics and Outcomes of Patients with Myocardial Infarction, Myocardial Injury, and Nonelevated Troponins. The American Journal of Medicine. 129(4). 446.e5–446.e21. 118 indexed citations

Saaby, Lotte, Tina Svenstrup Poulsen, Axel Cosmus Pyndt Diederichsen, et al.. (2014). Mortality Rate in Type 2 Myocardial Infarction: Observations from an Unselected Hospital Cohort. The American Journal of Medicine. 127(4). 295–302. 118 indexed citations

Hosbond, Susanne, Axel Cosmus Pyndt Diederichsen, Lotte Saaby, et al.. (2014). Can osteoprotegerin be used to identify the presence and severity of coronary artery disease in different clinical settings?. Atherosclerosis. 236(2). 230–236. 16 indexed citations

D’Souza, Maria, Lotte Saaby, Tina Svenstrup Poulsen, et al.. (2014). Comparison of Mortality in Patients With Acute Myocardial Infarction Accidentally Admitted to Non-cardiology Departments Versus That in Patients Admitted to Coronary Care Units. The American Journal of Cardiology. 114(8). 1151–1157. 9 indexed citations

10.

Skjøt‐Arkil, Helene, Lars Melholt Rasmussen, Yaguo Wang, et al.. (2013). Acute Myocardial Infarction and Pulmonary Diseases Result in Two Different Degradation Profiles of Elastin as Quantified by Two Novel ELISAs. PLoS ONE. 8(6). e60936–e60936. 18 indexed citations

11.

Kristensen, Lars, Martin R. Larsen, Hans Mickley, et al.. (2013). Plasma proteome profiling of atherosclerotic disease manifestations reveals elevated levels of the cytoskeletal protein vinculin. Journal of Proteomics. 101. 141–153. 39 indexed citations

12.

Saaby, Lotte, Tina Svenstrup Poulsen, Susanne Hosbond, et al.. (2013). Classification of Myocardial Infarction: Frequency and Features of Type 2 Myocardial Infarction. The American Journal of Medicine. 126(9). 789–797. 237 indexed citations

13.

Saaby, Lotte, Tina Svenstrup Poulsen, Susanne Hosbond, et al.. (2013). Mortality in type 1 vs. type 2 myocardial infarction. European Heart Journal. 34(suppl 1). P1331–P1331. 1 indexed citations

14.

Hansen, Maria Lyck, Lotte Saaby, Mads Nybo, et al.. (2012). Discordant Diagnoses of Acute Myocardial Infarction due to the Different Use of Assays and Cut-Off Points of Cardiac Troponins. Cardiology. 122(4). 225–229. 7 indexed citations

15.

Saaby, Lotte, Tina Svenstrup Poulsen, Susanne Hosbond, et al.. (2012). Relative occurrence and characteristics of type 1 versus type 2 myocardial infarction. University of Southern Denmark Research Portal (University of Southern Denmark). 1 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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