Marcus Lechner

2.3k citations
32 papers · 1.4k indexed · 1 hit paper · h-index 15
  • Ecology top 5%
    • Bacteriophages and microbial interactions 10
    • Microbial Community Ecology and Physiology 2
    • Genomics and Phylogenetic Studies 12
    • RNA and protein synthesis mechanisms 11
    • RNA modifications and cancer 3
    • Machine Learning in Bioinformatics 2
  • Genetics top 10%
    • Bacterial Genetics and Biotechnology 12
    • Viral Infections and Vectors 3

Marcus Lechner

30 papers receiving 1.4k citations

Hit Papers

Proteinortho: Detection of (Co-)orthologs in large-scale ...8592011202620162021250500750

Peers

Marcus Lechner
Comparison fields: 5 of 100
  • Ecology 406
  • Endocrinology 80
  • Molecular Biology 974
  • Genetics 278
  • Clinical Biochemistry 66
Replace Sivakumar Kannan with:
Sivakumar Kannan United States
Svenn D’Hert Belgium
Mathias C. Walter Germany
Darrin T. Schultz United States
Derek Butler Netherlands
Mikhail Fursov Russia
Christiaan V. Henkel Netherlands
Richard McVeigh United States
Emily K. Herman Canada
Wouter De Coster Belgium
Marcus Lechner relative to Sivakumar Kannan United States Sivakumar Kannan's profile →
Citations per field
00.5×10×16.8×
Sivakumar Kannan · 1×
Citations per year

Countries citing papers authored by Marcus Lechner

Since Specialization
Citations

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

Fields of papers citing papers by Marcus Lechner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202310
2 20231
3 20232
4 202211
5 20221
6 20217
7 202016
8 20206
9 20209
10 201923
11 201614
12 201644
13 20169
14 201611
15 20159
16 201450
17 201430
18 201415
19 201140
20
Proteinortho: Detection of (Co-)orthologs in large-scale analysisbreakdown →
2011859

About Marcus Lechner

Marcus Lechner is a scholar working on Genetics, Ecology, Molecular Biology, Biotechnology and Periodontics, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), Bacterial Genetics and Biotechnology (12 papers), RNA and protein synthesis mechanisms (11 papers), Bacteriophages and microbial interactions (10 papers), RNA modifications and cancer (3 papers), Viral Infections and Vectors (3 papers), Machine Learning in Bioinformatics (2 papers) and Microbial Community Ecology and Physiology (2 papers). The work is most often cited by research in Ecology (406 citations), Endocrinology (80 citations), Molecular Biology (974 citations), Genetics (278 citations) and Clinical Biochemistry (66 citations). Marcus Lechner has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Peter F. Stadler, Manja Marz, Sonja J. Prohaska, Sven Findeiß, Lydia Steiner, Roland K. Hartmann, Nicolas Wieseke, Martin Middendorf, Lucila Saavedra and Walter Rossmanith. Their work appears in journals such as RNA, BMC Genomics, Proceedings of the National Academy of Sciences, PLoS ONE and RNA Biology.

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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