Steven Salzberg: h-index, Total Citations, and Citation Map
Steven Salzberg's h-index is 169 (359 i10-index, 416,121+ total citations across 3+ publications) according to Google Scholar as of May 2026. Steven Salzberg is affiliated with Bloomberg Distinguished Professor, Johns Hopkins University.
Steven Salzberg is a researcher affiliated with Bloomberg Distinguished Professor, Johns Hopkins University, specializing in Computational Biology, Genomics, Bioinformatics. Their work has been cited 416,121 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Steven Salzberg's Citation Metrics
Bibliometric impact based on 3 indexed publications.
- H-Index
- 169
- i10-Index
- 359
- Total Citations
- 416,121
- Citing Countries
- 11
As of May 2026.
Steven Salzberg has an h-index of 169 and 416,121 total citations across 3 publications, with research cited by institutions in 11 countries.
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We've mapped 5,000 of 416,121 citations for Steven Salzberg
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Global Impact Map
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Top Cited Works
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Fast gapped-read alignment with Bowtie 2
201260,681
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Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher developed Bowtie 2, a high-performance algorithm for fast gapped-read alignment, establishing a foundational tool for efficient genomic data analysis.
The researcher developed an ultrafast, memory-efficient algorithm for aligning short DNA sequences to the human genome, establishing a foundational standard for genomic data processing.
The researcher developed HISAT, a fast spliced aligner with low memory requirements, published in Nature Methods in 2015, which has garnered over 23,000 citations.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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