Bernd Mayer

1.8k total citations
55 papers, 1.4k citations indexed

About

Bernd Mayer is a scholar working on Molecular Biology, Nephrology and Surgery. According to data from OpenAlex, Bernd Mayer has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 13 papers in Nephrology and 7 papers in Surgery. Recurrent topics in Bernd Mayer's work include Bioinformatics and Genomic Networks (13 papers), Chronic Kidney Disease and Diabetes (11 papers) and Renal Transplantation Outcomes and Treatments (5 papers). Bernd Mayer is often cited by papers focused on Bioinformatics and Genomic Networks (13 papers), Chronic Kidney Disease and Diabetes (11 papers) and Renal Transplantation Outcomes and Treatments (5 papers). Bernd Mayer collaborates with scholars based in Austria, Germany and Netherlands. Bernd Mayer's co-authors include Paul Perco, Rainer Oberbauer, Arno Lukas, Gert Mayer, Andreas Heinzel, Alexander Kainz, Johannes Söllner, Julia Wilflingseder, Michael A. Rudnicki and Hiddo J.L. Heerspink and has published in prestigious journals such as Bioinformatics, PLoS ONE and Biomaterials.

In The Last Decade

Bernd Mayer

54 papers receiving 1.4k citations

Peers

Bernd Mayer

NEPHR

SURGE

TRANS

Štefan Porubský Germany

Patricia Della Pelle United States

Agnieszka Latosińska Germany

Jianxin Qiu China

Laurence Bugeon United Kingdom

A C Wallace Canada

Hisashi Sawada Japan

Takashi Hato United States

Tadakazu Kondo Japan

Qiang Zhao China

Štefan Porubský Germany

Bernd Mayer

722 ×1.1

314 ×0.9

NEPHR

299 ×1.3

SURGE

60 ×0.4

TRANS

204 ×1.4

Citations per year, relative to Bernd Mayer Bernd Mayer (= 1×) peers Štefan Porubský

Countries citing papers authored by Bernd Mayer

Since Specialization

Citations

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

Fields of papers citing papers by Bernd Mayer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernd Mayer

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

All Works

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20 of 20 papers shown

Pena, Michelle J., Andreas Heinzel, Peter Rossing, et al.. (2016). Serum metabolites predict response to angiotensin II receptor blockers in patients with diabetes mellitus. Journal of Translational Medicine. 14(1). 203–203. 17 indexed citations

Mayer, Bernd. (2016). Using systems biology to evaluate targets and mechanism of action of drugs for diabetes comorbidities. Diabetologia. 59(12). 2503–2506. 7 indexed citations

Springer, Alexander, Klaus Kratochwill, Helga Bergmeister, et al.. (2015). A fetal sheep model for studying compensatory mechanisms in the healthy contralateral kidney after unilateral ureteral obstruction. Journal of Pediatric Urology. 11(6). 352.e1–352.e7. 6 indexed citations

Heerspink, Hiddo J.L., Rainer Oberbauer, Paul Perco, et al.. (2015). Drugs meeting the molecular basis of diabetic kidney disease: bridging from molecular mechanism to personalized medicine. Nephrology Dialysis Transplantation. 30(suppl 4). iv105–iv112. 17 indexed citations

Pena, Michelle J., Andreas Heinzel, Georg Heinze, et al.. (2015). A Panel of Novel Biomarkers Representing Different Disease Pathways Improves Prediction of Renal Function Decline in Type 2 Diabetes. PLoS ONE. 10(5). e0120995–e0120995. 50 indexed citations

Pena, Michelle J., Dick de Zeeuw, Harald Mischak, et al.. (2015). Prognostic clinical and molecular biomarkers of renal disease in type 2 diabetes. Nephrology Dialysis Transplantation. 30(suppl 4). iv86–iv95. 28 indexed citations

Heinzel, Andreas, Paul Perco, Gert Mayer, et al.. (2014). From molecular signatures to predictive biomarkers: modeling disease pathophysiology and drug mechanism of action. Frontiers in Cell and Developmental Biology. 2. 37–37. 15 indexed citations

Söllner, Johannes, et al.. (2012). Synthetic lethality for linking the mycophenolate mofetil mode of action with molecular disease and drug profiles. Molecular BioSystems. 8(12). 3197–3207. 4 indexed citations

Bernthaler, Andreas, et al.. (2011). Linking molecular feature space and disease terms for the immunosuppressive drugrapamycin. Molecular BioSystems. 7(10). 2863–2871. 1 indexed citations

10.

Hellemons, Merel E., Julia Kerschbaum, Stephan J. L. Bakker, et al.. (2011). Validity of biomarkers predicting onset or progression of nephropathy in patients with Type 2 diabetes: a systematic review. Diabetic Medicine. 29(5). 567–577. 61 indexed citations

11.

Bernthaler, Andreas, et al.. (2009). A dependency graph approach for the analysis of differential gene expression profiles. Molecular BioSystems. 5(12). 1720–1731. 25 indexed citations

12.

Rudnicki, Michael A., Paul Perco, Susanne Eder, et al.. (2009). Hypoxia response and VEGF-A expression in human proximal tubular epithelial cells in stable and progressive renal disease. Laboratory Investigation. 89(3). 337–346. 91 indexed citations

13.

Kainz, Alexander, et al.. (2009). Antithymocyte globulin use for treatment of biopsy confirmed acute rejection is associated with prolonged renal allograft survival. Transplant International. 23(1). 64–70. 9 indexed citations

14.

Söllner, Johannes, et al.. (2008). Analysis and prediction of protective continuous B-cell epitopes on pathogen proteins. PubMed. 4(1). 1–1. 66 indexed citations

15.

Klauser, Frederik, Thomas Seppi, Judith Lechner, et al.. (2008). The surface properties of nanocrystalline diamond and nanoparticulate diamond powder and their suitability as cell growth support surfaces. Biomaterials. 29(32). 4275–4284. 77 indexed citations

16.

Platzer, Alexander, Paul Perco, Arno Lukas, & Bernd Mayer. (2007). Characterization of protein-interaction networks in tumors. BMC Bioinformatics. 8(1). 224–224. 57 indexed citations

17.

Rudnicki, Michael A., Susanne Eder, Paul Perco, et al.. (2006). Gene expression profiles of human proximal tubular epithelial cells in proteinuric nephropathies. Kidney International. 71(4). 325–335. 53 indexed citations

18.

Perco, Paul, et al.. (2006). Transforming omics data into context: Bioinformatics on genomics and proteomics raw data. Electrophoresis. 27(13). 2659–2675. 25 indexed citations

19.

Perco, Paul, Alexander Kainz, Gert Mayer, et al.. (2005). Detection of coregulation in differential gene expression profiles. Biosystems. 82(3). 235–247. 11 indexed citations

20.

Oberbauer, Rainer, et al.. (2002). Discrete simulation of regulatory homo- and heterodimerization in the apoptosis effector phase. Bioinformatics. 18(1). 67–76. 13 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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