Christian Löwbeer

685 total citations
25 papers, 454 citations indexed

About

Christian Löwbeer is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Christian Löwbeer has authored 25 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 8 papers in Pathology and Forensic Medicine and 5 papers in Surgery. Recurrent topics in Christian Löwbeer's work include Cardiac Ischemia and Reperfusion (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Acute Myocardial Infarction Research (5 papers). Christian Löwbeer is often cited by papers focused on Cardiac Ischemia and Reperfusion (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Acute Myocardial Infarction Research (5 papers). Christian Löwbeer collaborates with scholars based in Sweden, Finland and Japan. Christian Löwbeer's co-authors include Guro Valen, Peeter Tähepôld, Shinichi Tokuno, Sven A. Gustafsson, Johan Hulting, A Dumitrescu, Tsutomu Kawakami, Jarle Vaage, Alberto Gutiérrez and A. Ottosson-Seeberger and has published in prestigious journals such as Arteriosclerosis Thrombosis and Vascular Biology, The American Journal of Cardiology and Life Sciences.

In The Last Decade

Christian Löwbeer

24 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Löwbeer Sweden 12 175 146 79 76 64 25 454
Magdi M.I. Yassin United Kingdom 8 172 1.0× 77 0.5× 143 1.8× 59 0.8× 50 0.8× 8 431
Tzu-Ping Chen Taiwan 14 96 0.5× 83 0.6× 201 2.5× 187 2.5× 28 0.4× 40 675
José Carlos Dorsa Vieira Pontes Brazil 10 97 0.6× 63 0.4× 129 1.6× 32 0.4× 31 0.5× 34 291
Marcel Zughaib United States 13 277 1.6× 355 2.4× 158 2.0× 69 0.9× 149 2.3× 59 715
Susanne Bährle Germany 13 139 0.8× 192 1.3× 174 2.2× 84 1.1× 40 0.6× 22 547
Hussain Contractor United Kingdom 10 139 0.8× 154 1.1× 40 0.5× 62 0.8× 74 1.2× 23 444
Yao-Chang Wang Taiwan 13 79 0.5× 176 1.2× 135 1.7× 108 1.4× 52 0.8× 26 436
Sandrine Grosjean France 15 42 0.2× 143 1.0× 180 2.3× 131 1.7× 64 1.0× 21 611
Markus Haisjackl Austria 18 73 0.4× 174 1.2× 255 3.2× 55 0.7× 109 1.7× 30 638

Countries citing papers authored by Christian Löwbeer

Since Specialization
Citations

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

Fields of papers citing papers by Christian Löwbeer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Löwbeer

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Löwbeer. A scholar is included among the top collaborators of Christian Löwbeer 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 Christian Löwbeer. Christian Löwbeer 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
1.
2.
Stenvinkel, Peter, Christian Löwbeer, & Sunna Snaedal. (2024). Troponin T in hemodialysis patients: Unraveling the challenges of interpretation and diagnosis. Kardiologia Polska. 82(3). 257–258. 1 indexed citations
3.
Westerberg, Marcus, Chris Metcalfe, Christian Löwbeer, et al.. (2024). Colonoscopy findings after increasing two‐stool faecal immunochemical test (FIT) cut‐off: Cross‐sectional analysis of the SCREESCO randomized trial. Journal of Internal Medicine. 296(2). 187–199.
4.
Fredolini, Claudia, Jochen M. Schwenk, Peter Påhlsson, et al.. (2023). A wide scan of plasma proteins demonstrates thioredoxin reductase 1 as a potential new diagnostic biomarker for hepatocellular carcinoma. Scandinavian Journal of Gastroenterology. 58(9). 998–1008. 3 indexed citations
5.
Chromek, Milan, et al.. (2022). Cardiac biomarkers in pediatric CKD—a prospective follow-up study. Pediatric Nephrology. 37(12). 3165–3175. 2 indexed citations
6.
Beck, Olof, et al.. (2021). Measurement of the alcohol biomarker phosphatidylethanol (PEth) in dried blood spots and venous blood—importance of inhibition of post-sampling formation from ethanol. Analytical and Bioanalytical Chemistry. 413(22). 5601–5606. 39 indexed citations
7.
Snaedal, Sunna, Peter Bárány, Sigrún H. Lund, et al.. (2020). High-sensitivity troponins in dialysis patients: variation and prognostic value. Clinical Kidney Journal. 14(7). 1789–1797. 14 indexed citations
8.
Blom, Johannes, et al.. (2019). Fecal immunochemical test in cancer screening – colonoscopy outcome in FIT positives and negatives. Scandinavian Journal of Gastroenterology. 54(3). 303–310. 22 indexed citations
9.
Rathnayake, Nilminie, Kåre Buhlin, Barbro Kjellström, et al.. (2017). Saliva and plasma levels of cardiac‐related biomarkers in post‐myocardial infarction patients. Journal Of Clinical Periodontology. 44(7). 692–699. 9 indexed citations
10.
11.
Agewall, Stefan, Tobias Olsson, & Christian Löwbeer. (2007). Usefulness of Troponin Levels Below the Diagnostic Cut-Off Level for Acute Myocardial Infarction in Predicting Prognosis in Unselected Patients Admitted to the Coronary Care Unit. The American Journal of Cardiology. 99(10). 1357–1359. 9 indexed citations
12.
Preissner, Carol M., et al.. (2006). A two-center international evaluation of the Immulite 2000 automated serum gastrin assay. Clinical Biochemistry. 39(4). 387–390. 3 indexed citations
13.
Agewall, Stefan & Christian Löwbeer. (2005). The new definition of myocardial infarction-Can we use it?. Clinical Cardiology. 28(2). 77–80. 6 indexed citations
14.
Löwbeer, Christian, et al.. (2004). Cardiac troponin T content in heart and skeletal muscle and in blood samples from ApoE/LDL receptor double knockout mice. Clinica Chimica Acta. 344(1-2). 73–78. 3 indexed citations
15.
Tokuno, Shinichi, et al.. (2002). Spontaneous Ischemic Events in the Brain and Heart Adapt the Hearts of Severely Atherosclerotic Mice to Ischemia. Arteriosclerosis Thrombosis and Vascular Biology. 22(6). 995–1001. 46 indexed citations
16.
Tokuno, Shinichi, et al.. (2001). Preconditioning protects the severely atherosclerotic mouse heart. The Annals of Thoracic Surgery. 71(4). 1296–1303. 41 indexed citations
17.
Tokuno, Shinichi, Peter Thorén, Christian Löwbeer, & Guro Valen. (2001). The role of nitric oxide in ischaemia/reperfusion injury of isolated hearts from severely atherosclerotic mice. Life Sciences. 69(17). 2067–2080. 8 indexed citations
18.
Valen, Guro, Tsutomu Kawakami, Peeter Tähepôld, et al.. (2000). Pretreatment with methylprednisolone protects the isolated rat heart against ischaemic and oxidative damage. Free Radical Research. 33(1). 31–43. 24 indexed citations
19.
Löwbeer, Christian, et al.. (1999). Increased cardiac troponin T and endothelin-1 concentrations in dialysis patients may indicate heart disease. Nephrology Dialysis Transplantation. 14(8). 1948–1955. 56 indexed citations
20.
Valen, Guro, Joel Starkopf, Tiiu Kullisaar, et al.. (1998). Preconditioning with hydrogen peroxide (H2O2) or ischemia in H2O2-induced cardiac dysfunction. Free Radical Research. 29(3). 235–245. 32 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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Rankless by CCL
2026