Bjoern Mayer

2.6k total citations
8 papers, 382 citations indexed

About

Bjoern Mayer is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Genetics. According to data from OpenAlex, Bjoern Mayer has authored 8 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 3 papers in Epidemiology and 3 papers in Genetics. Recurrent topics in Bjoern Mayer's work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Blood Pressure and Hypertension Studies (2 papers) and Genetic Associations and Epidemiology (2 papers). Bjoern Mayer is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (3 papers), Blood Pressure and Hypertension Studies (2 papers) and Genetic Associations and Epidemiology (2 papers). Bjoern Mayer collaborates with scholars based in Germany, United States and Canada. Bjoern Mayer's co-authors include Heribert Schunkert, Jeanette Erdmann, Christian Hengstenberg, Stephan Holmer, Angela Doering, Andrea Baessler, G. Riegger, Marcus Fischer, Wolfgang Lieb and Hannelore Loewel and has published in prestigious journals such as Circulation, Hypertension and Human Molecular Genetics.

In The Last Decade

Bjoern Mayer

8 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bjoern Mayer Germany 7 142 91 79 78 66 8 382
Gentaro Watanabe Japan 9 128 0.9× 84 0.9× 106 1.3× 15 0.2× 39 0.6× 15 494
Juei-Hsiung Tsai Taiwan 12 92 0.6× 47 0.5× 69 0.9× 28 0.4× 15 0.2× 25 371
Kalpna Desai United Kingdom 8 62 0.4× 82 0.9× 37 0.5× 50 0.6× 12 0.2× 15 345
Sandra Mastroianno Italy 11 135 1.0× 104 1.1× 83 1.1× 72 0.9× 7 0.1× 30 529
Chihiro Horimai Japan 7 61 0.4× 81 0.9× 46 0.6× 41 0.5× 6 0.1× 9 378
Keiko Sekizuka Japan 10 97 0.7× 112 1.2× 32 0.4× 32 0.4× 23 0.3× 11 413
Madeleine Themanns Austria 9 29 0.2× 79 0.9× 48 0.6× 74 0.9× 11 0.2× 15 323
Xuesi Wan China 14 39 0.3× 162 1.8× 39 0.5× 54 0.7× 14 0.2× 23 438
Stefan‐Martin Brand‐Herrmann Germany 12 194 1.4× 127 1.4× 66 0.8× 31 0.4× 7 0.1× 22 470
Ani Shahbazian United States 9 35 0.2× 21 0.2× 31 0.4× 31 0.4× 22 0.3× 17 356

Countries citing papers authored by Bjoern Mayer

Since Specialization
Citations

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

Fields of papers citing papers by Bjoern Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bjoern Mayer

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

All Works

8 of 8 papers shown
1.
Broeckel, Ulrich, Christian Hengstenberg, Bjoern Mayer, et al.. (2007). A locus on chromosome 10 influences C-reactive protein levels in two independent populations. Human Genetics. 122(1). 95–102. 6 indexed citations
2.
Baessler, Andrea, Marcus Fischer, Bjoern Mayer, et al.. (2007). Epistatic interaction between haplotypes of the ghrelin ligand and receptor genes influence susceptibility to myocardial infarction and coronary artery disease. Human Molecular Genetics. 16(8). 887–899. 29 indexed citations
3.
Reinhard, Wibke, Stephan Holmer, Marcus Fischer, et al.. (2006). Association of the Metabolic Syndrome With Early Coronary Disease in Families With Frequent Myocardial Infarction. The American Journal of Cardiology. 97(7). 964–967. 18 indexed citations
4.
Lieb, Wolfgang, Bjoern Mayer, Jan Stritzke, et al.. (2006). Association of low-grade urinary albumin excretion with left ventricular hypertrophy in the general population. Nephrology Dialysis Transplantation. 21(10). 2780–2787. 60 indexed citations
5.
Aherrahrou, Zouhair, Piotr Kaczmarek, Henrike Liptau, et al.. (2006). Ultrafine mapping of Dyscalc1 to an 80-kb chromosomal segment on chromosome 7 in mice susceptible for dystrophic calcification. Physiological Genomics. 28(2). 203–212. 21 indexed citations
6.
Mayer, Bjoern, Wolfgang Lieb, Anika Götz, et al.. (2005). Association of the T8590C Polymorphism of CYP4A11 With Hypertension in the MONICA Augsburg Echocardiographic Substudy. Hypertension. 46(4). 766–771. 72 indexed citations
7.
Fischer, Marcus, Ulrich Broeckel, Stephan Holmer, et al.. (2005). Distinct Heritable Patterns of Angiographic Coronary Artery Disease in Families With Myocardial Infarction. Circulation. 111(7). 855–862. 114 indexed citations
8.
Lieb, Wolfgang, Jeanette Erdmann, Bjoern Mayer, et al.. (2004). No association of interleukin-6 gene polymorphism (−174 G/C) with myocardial infarction or traditional cardiovascular risk factors. International Journal of Cardiology. 97(2). 205–212. 62 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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