Eran Segal: h-index, Total Citations, and Citation Map
Eran Segal's h-index is 118 (256 i10-index, 88,208+ total citations across 3+ publications) according to Google Scholar as of May 2026. Eran Segal is affiliated with Professor of Computer Science, Weizmann Institute of Science.
Eran Segal is a researcher affiliated with Professor of Computer Science, Weizmann Institute of Science, specializing in Computational biology. Their work has been cited 88,208 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Eran Segal's Citation Metrics
Bibliometric impact based on 3 indexed publications.
- H-Index
- 118
- i10-Index
- 256
- Total Citations
- 88,208
- Citing Countries
- 19
As of May 2026.
Eran Segal has an h-index of 118 and 88,208 total citations across 3 publications, with research cited by institutions in 19 countries.
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Top Cited Works
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Functional demarcation of active and silent chromatin domains in human HOX loci by noncoding RNAs
20075,353
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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 the functional role of noncoding RNAs in demarcating active and silent chromatin domains within human HOX loci, a foundational finding published in Cell.
The researcher established the conceptual framework of long noncoding RNAs as modular scaffolds for histone modification complexes, fundamentally reshaping understanding of epigenetic regulation mechanisms.
The researcher pioneered personalized nutrition by demonstrating that individual glycemic responses can be predicted, establishing a foundational framework for precision dietary interventions.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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