Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average within
it), or reaches the top citation threshold in at least one of its specific research topics.
HISAT: a fast spliced aligner with low memory requirements
201515.6k citationsDaehwan Kim, Ben Langmead et al.Nature Methodsprofile →
TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions
20139.4k citationsDaehwan Kim, Geo Pertea et al.Genome biologyprofile →
Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks
20129.2k citationsCole Trapnell, Adam Roberts et al.Nature Protocolsprofile →
Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype
20197.9k citationsDaehwan Kim, Joseph M. Paggi et al.Nature Biotechnologyprofile →
Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown
20164.4k citationsMihaela Pertea, Daehwan Kim et al.Nature Protocolsprofile →
Centrifuge: rapid and sensitive classification of metagenomic sequences
2016820 citationsDaehwan Kim, Li Song et al.Genome Researchprofile →
TopHat-Fusion: an algorithm for discovery of novel fusion transcripts
2011550 citationsDaehwan Kim, Steven L. SalzbergGenome biologyprofile →
This map shows the geographic impact of Daehwan Kim'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 Daehwan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daehwan Kim more than expected).
This network shows the impact of papers produced by Daehwan Kim. 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 Daehwan Kim. The network helps show where Daehwan Kim may publish in the future.
Co-authorship network of co-authors of Daehwan Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Daehwan Kim.
A scholar is included among the top collaborators of Daehwan Kim 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 Daehwan Kim. Daehwan Kim is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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.