Isabela Bensenor: h-index, Total Citations, and Citation Map
Isabela Bensenor's h-index is 126 (555 i10-index, 268,723+ total citations across 2+ publications) according to Google Scholar as of May 2026. Isabela Bensenor is affiliated with Universidade de São Paulo / Faculdade de Medicina / Hospital Universitário / Centro de Pesquisa Clínica.
Isabela Bensenor is a researcher affiliated with Universidade de São Paulo / Faculdade de Medicina / Hospital Universitário / Centro de Pesquisa Clínica, specializing in epidemiologia das doenças crônicas e dos sintomas. Their work has been cited 268,723 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Isabela Bensenor's Citation Metrics
Bibliometric impact based on 2 indexed publications.
- H-Index
- 126
- i10-Index
- 555
- Total Citations
- 268,723
- Citing Countries
- 44
As of May 2026.
Isabela Bensenor has an h-index of 126 and 268,723 total citations across 2 publications, with research cited by institutions in 44 countries.
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We've mapped 5,000 of 268,723 citations for Isabela Bensenor
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Global Impact Map
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Top Cited Works
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Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
201817,568
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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 conducted a systematic global analysis of 84 risk factors across 195 countries for the Global Burden of Disease Study 2017.
The researcher produced a seminal systematic analysis quantifying the global burden of 369 diseases and injuries across 204 countries from 1990 to 2019, establishing a critical benchmark for global health metrics.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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