Michael J. Pencina, PhD Google Scholar: h-index, Total Citations, and Citation Map
Michael J. Pencina, PhD has 155,611+ total citations according to Google Scholar as of November 2026. Michael J. Pencina, PhD is affiliated with Duke University, School of Medicine.
Michael J. Pencina, PhD is a researcher affiliated with Duke University, School of Medicine, specializing in AI & Machine Learning. Their work has been cited 155,611 times. This profile visualizes their global influence, highlighting strong citation networks in Spain.
Michael J. Pencina, PhD's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 155,611
- Citing Countries
- 30
As of November 2026.
Michael J. Pencina, PhD has an h-index of 1 and 155,611 total citations across 1 publication, with research cited by institutions in 30 countries.
Global Impact Map
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Heart disease and stroke statistics—2017 update: a report from the American Heart Association
201749,993
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.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Michael J. Pencina, PhD's research
Michael J. Pencina, PhD is a researcher in AI & Machine Learning at Duke University, School of Medicine. Their work has been cited 155,611 times across 1 publication, according to Google Scholar.
Their most-cited work, “Heart disease and stroke statistics—2017 update: a report from the American Heart Association” (2017), has accumulated 49,993 citations.
Citations of Michael J. Pencina, PhD's research come primarily from Spain, Poland and Germany, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
