Markus Leber

13.2k total citations
10 papers, 97 citations indexed

About

Markus Leber is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Markus Leber has authored 10 papers receiving a total of 97 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Surgery. Recurrent topics in Markus Leber's work include Genetic Associations and Epidemiology (4 papers), Genetic and phenotypic traits in livestock (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Markus Leber is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Genetic and phenotypic traits in livestock (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Markus Leber collaborates with scholars based in Germany, United States and Switzerland. Markus Leber's co-authors include M. Reim, Carla Schulz, Stefan Busse, Alexander Schönhuth, Lars Kaderali, Volker Egelhofer, Rainer Schräder, Ida Schomburg, Dietmar Schomburg and Alfredo Ramı́rez and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Anaesthesia.

In The Last Decade

Markus Leber

9 papers receiving 94 citations

Peers

Markus Leber

MB

RNMI

SURGE

CTM

GENET

James Liley United Kingdom

Ilya Kiselev Russia

Gayle Kucera United States

Daniel McDonald United States

Christopher Cole Honeycutt United States

Olga Medina Spain

Giuseppe G. A. Celano Italy

Mullai Murugan United States

E. Mazzeo Italy

Samer Nakhle United States

James Liley United Kingdom

Markus Leber

30 ×0.8

MB

14 ×0.8

RNMI

14 ×1.0

SURGE

2 ×0.1

CTM

52 ×4.0

GENET

Citations per year, relative to Markus Leber Markus Leber (= 1×) peers James Liley

Countries citing papers authored by Markus Leber

Since Specialization

Citations

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

Fields of papers citing papers by Markus Leber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Leber

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

All Works

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10 of 10 papers shown

1.

Leber, Markus, et al.. (2025). Effect of Repeated Intense Foveal Red-Light Therapy in Children with Pre-Myopia: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Current Eye Research. 50(11). 1085–1093. 1 indexed citations

2.

Cullen, Jonah N., Michael W. Vandewege, Markus Leber, et al.. (2025). Genomic analyses in Cavalier King Charles spaniels identify loci associated with clinical signs of Chiari-like malformation and Syringomyelia. BMC Veterinary Research. 21(1). 317–317.

3.

Rutten, Bart P. F., Leonie Weinhold, Markus Leber, et al.. (2020). The association between genome‐wide polymorphisms and chronic postoperative pain: a prospective observational study. Anaesthesia. 75(S1). e111–e120. 20 indexed citations

4.

Freytag, Virginie, Vanja Vukojević, Annette Milnik, et al.. (2018). Genetic estimators of DNA methylation provide insights into the molecular basis of polygenic traits. Translational Psychiatry. 8(1). 31–31. 6 indexed citations

5.

Lacour, André, Dmitriy Drichel, Christine Herold, et al.. (2015). Novel genetic matching methods for handling population stratification in genome-wide association studies. BMC Bioinformatics. 16(1). 84–84. 6 indexed citations

6.

Drichel, Dmitriy, Christine Herold, André Lacour, et al.. (2014). Rare Variant Testing of Imputed Data: An Analysis Pipeline Typified. Human Heredity. 78(3-4). 164–178. 1 indexed citations

7.

Meesters, Christian, Markus Leber, Christine Herold, et al.. (2012). Quick, “Imputation-free” meta-analysis with proxy-SNPs. BMC Bioinformatics. 13(1). 231–231. 5 indexed citations

8.

Leber, Markus, Volker Egelhofer, Ida Schomburg, & Dietmar Schomburg. (2009). Automatic assignment of reaction operators to enzymatic reactions. Bioinformatics. 25(23). 3135–3142. 18 indexed citations

9.

Leber, Markus, Lars Kaderali, Alexander Schönhuth, & Rainer Schräder. (2005). A fractional programming approach to efficient DNA melting temperature calculation. Computer applications in the biosciences. 21(10). 2375–2382. 18 indexed citations

10.

Reim, M., Stefan Busse, Markus Leber, & Carla Schulz. (1988). Effect of Epidermal Growth Factor in Severe Experimental Alkali Burns. Ophthalmic Research. 20(5). 327–331. 22 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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