Isabela Bensenor: h-index, Total Citations, and Citation Map
Isabela Bensenor's h-index is 127 (565 i10-index, 283,054+ total citations across 1,000+ publications) according to Google Scholar as of September 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 283,054 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Isabela Bensenor's Citation Metrics
Bibliometric impact based on 1,000 indexed publications.
- H-Index
- 127
- i10-Index
- 565
- Total Citations
- 283,054
- Citing Countries
- 97
As of September 2026.
Isabela Bensenor has an h-index of 127 and 283,054 total citations across 1000 publications, with research cited by institutions in 97 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Isabela Bensenor'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.
Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic …
201521,206
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 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)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Isabela Bensenor's research
Isabela Bensenor is a researcher in epidemiologia das doenças crônicas e dos sintomas at Universidade de São Paulo / Faculdade de Medicina / Hospital Universitário / Centro de Pesquisa Clínica. Their work has been cited 283,054 times across 1,000 publications (h-index 127), according to Google Scholar.
Their most-cited work, “Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic …” (2015), has accumulated 21,206 citations. Other influential works include “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” (2018) with 17,568 citations and “Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019” (2020) with 16,687 citations.
Citations of Isabela Bensenor's research come primarily from China, United States and Brazil, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











