Marcus Lechner
Impact in
- Ecology top 5%
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
- Endocrinology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 10
- RNA and protein synthesis mechanisms 9
- Genetics 14
- Bacterial Genetics and Biotechnology 11
- Co-authors
- Peter F. Stadler (5 shared papers)Manja Marz (5 shared papers)Sonja J. Prohaska (2 shared papers)Lydia Steiner (1 shared paper)Sven Findeiß (1 shared paper)Roland K. Hartmann (13 shared papers)Nicolas Wieseke (5 shared papers)Martin Middendorf (2 shared papers)
- Journals
- PLoS ONE (3 papers)Proceedings of the National Academy of Sciences (3 papers)BMC Genomics (3 papers)RNA (3 papers)RNA Biology (2 papers)
- Partner nations
- GermanyAustriaUnited Kingdom
In The Last Decade
Marcus Lechner
31 papers receiving 1.5k citations
Marcus Lechner's Hit Papers
Peers
Comparison fields: 5 of 100
- Ecology 400
- Endocrinology 77
- Molecular Biology 958
- Genetics 285
- Clinical Biochemistry 64
Countries citing papers authored by Marcus Lechner
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
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-authors
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.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Proteinortho: Detection of (Co-)orthologs in large-scale analysis Hit paper breakdown → | 2011 | 881 |
| 2 | 2014 | 61 | |
| 3 | 2015 | 58 | |
| 4 | 2016 | 46 | |
| 5 | 2011 | 44 | |
| 6 | 2012 | 42 | |
| 7 | 2020 | 40 | |
| 8 | 2017 | 39 | |
| 9 | 2014 | 31 | |
| 10 | 2021 | 24 | |
| 11 | 2019 | 23 | |
| 12 | 2017 | 20 | |
| 13 | 2016 | 20 | |
| 14 | 2020 | 17 | |
| 15 | 2014 | 17 | |
| 16 | 2023 | 16 | |
| 17 | 2016 | 14 | |
| 18 | 2017 | 12 | |
| 19 | 2016 | 12 | |
| 20 | 2022 | 12 |
About Marcus Lechner
Marcus Lechner is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Infectious Diseases, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (11 papers), Genomics and Phylogenetic Studies (10 papers), RNA and protein synthesis mechanisms (9 papers), Bacteriophages and microbial interactions (9 papers), Viral Infections and Vectors (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers), Transgenic Plants and Applications (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Ecology (400 citations), Endocrinology (77 citations), Molecular Biology (958 citations), Genetics (285 citations) and Clinical Biochemistry (64 citations). Marcus Lechner has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Peter F. Stadler, Manja Marz, Sonja J. Prohaska, Lydia Steiner, Sven Findeiß, Roland K. Hartmann, Nicolas Wieseke, Martin Middendorf, Marc Hellmuth and Hans‐Peter Lenhof. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, BMC Genomics, RNA 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.