Aaron J. Mussig
- Molecular Biology top 2%
- Ecology top 0.5%
- Pollution top 1%
- Environmental Chemistry top 0.5%
- Plant Science top 5%
- Co-authors
- Pierre-Alain ChaumeilPhilip HugenholtzDonovan H. ParksChristian RinkeMaria ChuvochinaDavid W. WaiteAdrián DavínWilliam B. Whitman
- Topics
- Genomics and Phylogenetic Studies (11 papers)Microbial Community Ecology and Physiology (7 papers)Probiotics and Fermented Foods (5 papers)
In The Last Decade
Aaron J. Mussig
11 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 3.9k
- Ecology 3.4k
- Pollution 890
- Environmental Chemistry 873
- Plant Science 617
Countries citing papers authored by Aaron J. Mussig
This map shows the geographic impact of Aaron J. Mussig'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 Aaron J. Mussig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron J. Mussig more than expected).
Fields of papers citing papers by Aaron J. Mussig
This network shows the impact of papers produced by Aaron J. Mussig. 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 Aaron J. Mussig. The network helps show where Aaron J. Mussig may publish in the future.
Co-authorship network of co-authors of Aaron J. Mussig
This figure shows the co-authorship network connecting the top 25 collaborators of Aaron J. Mussig. A scholar is included among the top collaborators of Aaron J. Mussig based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aaron J. Mussig. Aaron J. Mussig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 42 | |
| 6 | 3 | |
| 7 | GTDB-Tk v2: memory friendly classification with the genome taxonomy databasebreakdown → | 787 |
| 8 | A standardized archaeal taxonomy for the Genome Taxonomy Databasebreakdown → | 281 |
| 9 | GTDB: an ongoing census of bacterial and archaeal diversity through a phylogenetically consistent, rank normalized and complete genome-based taxonomybreakdown → | 1178 |
| 10 | A complete domain-to-species taxonomy for Bacteria and Archaeabreakdown → | 858 |
| 11 | GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Databasebreakdown → | 3212 |
About Aaron J. Mussig
Aaron J. Mussig is a scholar working on Food Science, Ecology and Molecular Biology, having authored 11 papers that have together received 6.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Microbial Community Ecology and Physiology (7 papers) and Probiotics and Fermented Foods (5 papers). The work is most often cited by research in Ecology (3.4k citations), Environmental Chemistry (873 citations) and Pollution (890 citations). Aaron J. Mussig has collaborated with scholars based in Australia, Japan and Denmark. Frequent co-authors include Pierre-Alain Chaumeil, Philip Hugenholtz, Donovan H. Parks, Christian Rinke, Maria Chuvochina, David W. Waite, Adrián Davín, William B. Whitman, Adam Skarshewski and Mantas Sereika. Their work appears in journals such as Nucleic Acids Research, Nature Biotechnology and Bioinformatics.
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.