Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.
Countries citing papers authored by Benjamin Buchfink
Since Specialization
Citations
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 23 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.
Border = papers with Benjamin BuchfinkLine = papers co-authored togetherBenjamin Buchfink links everyone, so they are left out of the graph.
All Works
5 of 5 papers shown
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Work
1
Fast and sensitive protein alignment using DIAMOND
Benjamin Buchfink is a scholar working on Molecular Biology, Ecology, Spectroscopy, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 11.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Bioinformatics and Genomic Networks (2 papers), Machine Learning in Bioinformatics (2 papers), RNA and protein synthesis mechanisms (2 papers), Bacteriophages and microbial interactions (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Ecology (3.3k citations), Endocrinology (476 citations), Pollution (1.0k citations), Molecular Biology (5.3k citations) and Molecular Medicine (364 citations). Benjamin Buchfink has collaborated with scholars based in Germany, Singapore and Russia. Frequent co-authors include Daniel H. Huson, Chao Xie, Klaus Reuter, Hajk‐Georg Drost, Tomer Altman, Basem Al-Shayeb, Rayan Chikhi, Marcos de la Peña, Dmitry Meleshko and Artem Babaian. Their work appears in journals such as Nature Methods, Genome biology, Microbiome and Nature.
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.