Andreas Wilm
- Molecular Biology top 0.05%
- Genomics and Phylogenetic Studies 15
- RNA and protein synthesis mechanisms 9
- RNA modifications and cancer 6
- Endocrinology top 0.2%
- Plant Science top 0.05%
- Ecology top 0.1%
- Bacteriophages and microbial interactions 4
- Microbial Community Ecology and Physiology 3
- Biotechnology top 0.1%
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- Mosquito-borne diseases and control 3
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- Hepatitis B Virus Studies 3
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- Hepatitis C virus research 3
- Co-authors
- Desmond G. HigginsHamish McWilliamToby J. GibsonJulie ThompsonRodrigo LópezGordon BlackshieldsIain M. WallaceChenna Ramu
- Journals
- Nucleic Acids Research (5 papers)Bioinformatics (3 papers)PLoS neglected tropical diseases (2 papers)
- Partner nations
- SingaporeUnited KingdomIreland
In The Last Decade
Andreas Wilm
29 papers receiving 37.1k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Molecular Biology 21.0k
- Endocrinology 1.3k
- Plant Science 8.3k
- Ecology 5.4k
- Biotechnology 1.6k
Countries citing papers authored by Andreas Wilm
This map shows the geographic impact of Andreas Wilm'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 Andreas Wilm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Wilm more than expected).
Fields of papers citing papers by Andreas Wilm
This network shows the impact of papers produced by Andreas Wilm. 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 Andreas Wilm. The network helps show where Andreas Wilm may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andreas Wilm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 11 | |
| 2 | 2021 | 84 | |
| 3 | 2017 | 19 | |
| 4 | 2016 | 108 | |
| 5 | 2016 | 245 | |
| 6 | 2016 | 246 | |
| 7 | 2015 | 66 | |
| 8 | 2015 | 47 | |
| 9 | 2014 | 16 | |
| 10 | 2014 | 17 | |
| 11 | 2013 | 72 | |
| 12 | 2011 | 24 | |
| 13 | Fast, scalable generation of high‐quality protein multiple sequence alignments using Clustal Omegabreakdown → | 2011 | 11202 |
| 14 | 2010 | 75 | |
| 15 | 2009 | 14 | |
| 16 | 2008 | 57 | |
| 17 | 2008 | 90 | |
| 18 | 2008 | 29 | |
| 19 | Clustal W and Clustal X version 2.0breakdown → | 2007 | 23845 |
| 20 | 2006 | 100 |
About Andreas Wilm
Andreas Wilm is a scholar working on Hepatology, Ecology, Information Systems and Management, Molecular Biology and Periodontics, having authored 29 papers that have together received 37.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), RNA and protein synthesis mechanisms (9 papers), RNA modifications and cancer (6 papers), Bacteriophages and microbial interactions (4 papers), Microbial Community Ecology and Physiology (3 papers), Mosquito-borne diseases and control (3 papers), Hepatitis B Virus Studies (3 papers) and Hepatitis C virus research (3 papers). The work is most often cited by research in Molecular Biology (21.0k citations), Endocrinology (1.3k citations), Plant Science (8.3k citations), Ecology (5.4k citations) and Biotechnology (1.6k citations). Andreas Wilm has collaborated with scholars based in Singapore, United Kingdom and Ireland. Frequent co-authors include Desmond G. Higgins, Hamish McWilliam, Toby J. Gibson, Julie Thompson, Rodrigo López, Gordon Blackshields, Iain M. Wallace, Chenna Ramu, Nigel P. Brown and Paul McGettigan. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, PLoS neglected tropical diseases, Algorithms for Molecular Biology 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.