Markus Leber

13.2k citations
10 papers · 97 · h-index 6

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 1
    • RNA and protein synthesis mechanisms 1
    • Genetic Associations and Epidemiology 4
    • Genetic and phenotypic traits in livestock 2
    • Genetic Mapping and Diversity in Plants and Animals 2

Markus Leber

9 papers receiving 94 citations

Peers

Markus Leber
Comparison fields: 5 of 57
  • Anesthesiology and Pain Medicine 12
  • Computational Theory and Mathematics 14
  • Ophthalmology 7
  • Numerical Analysis 4
  • Radiology, Nuclear Medicine and Imaging 17
Replace Giuseppe G. A. Celano with:
Giuseppe G. A. Celano Italy
Christopher Cole Honeycutt United States
Marleen Balvert Netherlands
José Caldas Finland
Ravi Mathur United States
James Liley United Kingdom
Benjamin Neumann Germany
Daniel McDonald United States
Cyril Zakka United States
Mullai Murugan United States
Markus Leber relative to Giuseppe G. A. Celano Italy Giuseppe G. A. Celano's profile →
Citations per field
00.5×8.5×
Giuseppe G. A. Celano · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Markus Leber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Leber Line = papers co-authored together Markus Leber links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 198822
2 202020
3 200518
4 200918
5 20186
6 20156
7 20125
8 20251
9 20141
10 20250

About Markus Leber

Markus Leber is a scholar working on Molecular Biology, Genetics, Surgery, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 97 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Genetic and phenotypic traits in livestock (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Corneal surgery and disorders (1 paper), RNA and protein synthesis mechanisms (1 paper), Congenital Anomalies and Fetal Surgery (1 paper) and Pain Management and Opioid Use (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (12 citations), Computational Theory and Mathematics (14 citations), Ophthalmology (7 citations), Numerical Analysis (4 citations) and Radiology, Nuclear Medicine and Imaging (17 citations). Markus Leber has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Stefan Busse, M. Reim, Carla Schulz, Dietmar Schomburg, Lars Kaderali, Volker Egelhofer, Ida Schomburg, Alexander Schönhuth, Rainer Schräder and Leonie Weinhold. Their work appears in journals such as BMC Bioinformatics, Ophthalmic Research, Current Eye Research, BMC Veterinary Research and Translational Psychiatry.

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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