Eran Segal Google Scholar: h-index, Total Citations, and Citation Map
Eran Segal's h-index is 120 (263 i10-index, 91,286+ total citations across 514+ publications) according to Google Scholar as of October 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 91,286 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Eran Segal's Citation Metrics
Bibliometric impact based on 514 indexed publications.
- H-Index
- 120
- i10-Index
- 263
- Total Citations
- 91,286
- Citing Countries
- 86
As of October 2026.
Eran Segal has an h-index of 120 and 91,286 total citations across 514 publications, with research cited by institutions in 86 countries.
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Functional demarcation of active and silent chromatin domains in human HOX loci by noncoding RNAs
20075,407
Top Citing Countries
Top Citing Institutions
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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.
449 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered personalized nutrition by predicting individual glycemic responses, establishing a foundational framework later extended to wild animal microbiota diversity.
The researcher developed the module networks framework to identify regulatory modules and condition-specific regulators from gene expression data, establishing a foundational method for systems biology.
The researcher established a genomic code for nucleosome positioning and extended this framework to predict gene expression patterns from regulatory sequences in Drosophila segmentation.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Eran Segal's research
Eran Segal is a researcher in Computational biology at Professor of Computer Science, Weizmann Institute of Science. Their work has been cited 91,286 times across 514 publications (h-index 120), according to Google Scholar.
Their most-cited work, “Functional demarcation of active and silent chromatin domains in human HOX loci by noncoding RNAs” (2007), has accumulated 5,407 citations. Other influential works include “Long Noncoding RNA as Modular Scaffold of Histone Modification Complexes” (2010) with 4,072 citations and “Personalized nutrition by prediction of glycemic responses” (2015) with 3,499 citations.
Citations of Eran Segal'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.
