Benjamin Buchfink
Impact in
- Ecology top 0.5%
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
- Endocrinology top 1%
Papers in
-
- Genomics and Phylogenetic Studies 5
- Bioinformatics and Genomic Networks 2
- Machine Learning in Bioinformatics 2
- RNA and protein synthesis mechanisms 2
- Gut microbiota and health 1
- Ecology 2
- Microbial Community Ecology and Physiology 1
- Bacteriophages and microbial interactions 1
- Co-authors
- Daniel H. Huson (2 shared papers)Chao Xie (1 shared paper)Hajk‐Georg Drost (2 shared papers)Klaus Reuter (1 shared paper)Rayan Chikhi (1 shared paper)Marcos de la Peña (1 shared paper)Jillian F. Banfield (1 shared paper)Victor S.-Y. Lin (1 shared paper)
- Partner nations
- GermanySingaporeUnited Kingdom
In The Last Decade
Benjamin Buchfink
5 papers receiving 10.6k citations
Benjamin Buchfink's Hit Papers
Peers
Comparison fields: 5 of 157
- Ecology 3.4k
- Endocrinology 490
- Pollution 1.0k
- Molecular Biology 5.6k
- Molecular Medicine 395
Countries citing papers authored by Benjamin Buchfink
This map shows the geographic impact of Benjamin Buchfink'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 Benjamin Buchfink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Buchfink more than expected).
Fields of papers citing papers by Benjamin Buchfink
This network shows the impact of papers produced by Benjamin Buchfink. 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 Benjamin Buchfink. The network helps show where Benjamin Buchfink may publish in the future.
Co-authors
The 22 scholars most cited alongside Benjamin Buchfink, 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 | Fast and sensitive protein alignment using DIAMOND Hit paper breakdown → | 2014 | 8496 |
| 2 | Sensitive protein alignments at tree-of-life scale using DIAMOND Hit paper breakdown → | 2021 | 1867 |
| 3 | Petabase-scale sequence alignment catalyses viral discovery Hit paper breakdown → | 2022 | 264 |
| 4 | 2019 | 58 | |
| 5 | 2023 | 1 |
About Benjamin Buchfink
Benjamin Buchfink is a scholar working on Molecular Biology, Ecology, Spectroscopy, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 10.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Bioinformatics and Genomic Networks (2 papers), Machine Learning in Bioinformatics (2 papers), RNA and protein synthesis mechanisms (2 papers), Microbial Community Ecology and Physiology (1 paper), Bacteriophages and microbial interactions (1 paper), Gut microbiota and health (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Ecology (3.4k citations), Endocrinology (490 citations), Pollution (1.0k citations), Molecular Biology (5.6k citations) and Molecular Medicine (395 citations). Benjamin Buchfink has collaborated with scholars based in Germany, Singapore and United Kingdom. Frequent co-authors include Daniel H. Huson, Chao Xie, Hajk‐Georg Drost, Klaus Reuter, Rayan Chikhi, Marcos de la Peña, Jillian F. Banfield, Victor S.-Y. Lin, Tomer Altman and Pierre Barbera. Their work appears in journals such as Nature Methods, Nature, Genome biology and Microbiome.
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.