Mikael Huss: h-index, Total Citations, and Citation Map
Mikael Huss's h-index is 38 (60 i10-index, 20,101+ total citations across 5+ publications) according to Google Scholar as of May 2026. Mikael Huss is affiliated with Forskare i bioinformatik, Stockholms universitet.
Mikael Huss is a researcher affiliated with Forskare i bioinformatik, Stockholms universitet, specializing in bioinformatik, epigenomik, neurovetenskap. Their work has been cited 20,101 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Mikael Huss's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 38
- i10-Index
- 60
- Total Citations
- 20,101
- Citing Countries
- 17
As of May 2026.
Mikael Huss has an h-index of 38 and 20,101 total citations across 5 publications, with research cited by institutions in 17 countries.
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We've mapped 5,000 of 20,101 citations for Mikael Huss
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Top Cited Works
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Analysis of the human tissue-specific expression by genome-wide integration of transcriptomics and antibody-based proteomics
20144,411
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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 established a foundational framework linking external signaling pathways to the core transcriptional network in embryonic stem cells, a seminal contribution evidenced by over 3,000 citations.
The researcher established a foundational framework for analyzing human tissue-specific expression by integrating genome-wide transcriptomics and antibody-based proteomics.
The researcher pioneered spatial transcriptomics methods for visualizing and analyzing gene expression in tissue sections, establishing a foundational framework for spatial biology.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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