Matthias Lechner

6.3k citations
31 papers · 2.8k indexed · 1 hit paper · h-index 20

Impact in

Papers in

Matthias Lechner

31 papers receiving 2.8k citations

Hit Papers

A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data 2012 · 1.1k citations
1.1k20122026201620212505007501000

Peers

Matthias Lechner
Comparison fields: 5 of 144
  • Otorhinolaryngology 149
  • Cancer Research 481
  • Molecular Biology 1.8k
  • Genetics 461
  • Pediatrics, Perinatology and Child Health 255
Replace Michał M. Masternak with:
Michał M. Masternak United States
Santiago Rodrı́guez United Kingdom
Qin Zhang China
Wei Xu China
Jie Zhu China
Norman Klopp Germany
Brent W. Zanke Canada
Rong Zhong China
Elisabet Guinó Spain
Matthias Lechner relative to Michał M. Masternak United States Michał M. Masternak's profile →
Citations per field
00.5×1.7×
Michał M. Masternak · 1×
Citations per year

Countries citing papers authored by Matthias Lechner

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Lechner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthias Lechner, 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 Matthias Lechner Line = papers co-authored together Matthias Lechner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201819
2 201731
3 201611
4 201625
5 201512
6 201443
7 2013105
8 2013169
9 201111
10 201078
11 201036
12 20097
13 2009253
14 200879
15 200719
16 20077
17 2005333
18 200532
19 200526
20 2005149

About Matthias Lechner

Matthias Lechner is a scholar working on Otorhinolaryngology, Cancer Research, Clinical Biochemistry, Genetics and Sensory Systems, having authored 31 papers that have together received 2.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), RNA modifications and cancer (9 papers), Advanced Chemical Sensor Technologies (5 papers), Cancer-related gene regulation (5 papers), Bacterial Genetics and Biotechnology (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Otorhinolaryngology (149 citations), Cancer Research (481 citations), Molecular Biology (1.8k citations), Genetics (461 citations) and Pediatrics, Perinatology and Child Health (255 citations). Matthias Lechner has collaborated with scholars based in United Kingdom, Austria and United States. Frequent co-authors include Stephan Beck, Andrew E. Teschendorff, Josef Rieder, Francesco Marabita, David Gómez-Cabrero, Jesper Tegnér, Thomas E. Bartlett, Philipp Lirk, Martin Widschwendter and Andrew Feber. Their work appears in journals such as Bioinformatics, Respiratory Physiology & Neurobiology, Current Microbiology, Advances in genetics and PLoS ONE.

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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