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 July 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 July 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.
Download Exports (PNG, CSV, Poster)
Free Viewing Steven Salzberg's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Fast gapped-read alignment with Bowtie 2
201260,681
Top Citing Countries
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)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Steven Salzberg's research
Steven Salzberg is a researcher in Computational Biology, Genomics and Bioinformatics at Bloomberg Distinguished Professor, Johns Hopkins University. Their work has been cited 416,121 times across 3 publications (h-index 169), according to Google Scholar.
Their most-cited work, “Fast gapped-read alignment with Bowtie 2” (2012), has accumulated 60,681 citations. Other influential works include “Ultrafast and memory-efficient alignment of short DNA sequences to the human genome” (2009) with 25,902 citations and “HISAT: a fast spliced aligner with low memory requirements” (2015) with 23,463 citations.
Citations of Steven Salzberg's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











