Peter Jüni Google Scholar: h-index, Total Citations, and Citation Map
Peter Jüni's h-index is 173 (586 i10-index, 380,160+ total citations across 1,000+ publications) according to Google Scholar as of October 2026. Peter Jüni is affiliated with University of Oxford.
Peter Jüni is a researcher affiliated with University of Oxford, specializing in Clinical Epidemiology, Epidemiology, Cardiology. Their work has been cited 380,160 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Peter Jüni's Citation Metrics
Bibliometric impact based on 1,000 indexed publications.
- H-Index
- 173
- i10-Index
- 586
- Total Citations
- 380,160
- Citing Countries
- 83
As of October 2026.
Peter Jüni has an h-index of 173 and 380,160 total citations across 1000 publications, with research cited by institutions in 83 countries.
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Global Impact Map
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The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials
201137,474
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.
3 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed a seminal tool for assessing risk of bias in randomised trials, establishing a widely adopted standard for evaluating clinical trial quality.
The researcher developed ROBINS-I, a seminal tool for assessing risk of bias in non-randomised studies of interventions, establishing a critical standard for evaluating evidence quality in observational research.
The researcher developed RoB 2, a revised tool for assessing risk of bias in randomised trials, establishing a new standard for methodological rigor in clinical research evaluation.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Peter Jüni's research
Peter Jüni is a researcher in Clinical Epidemiology, Epidemiology and Cardiology at University of Oxford. Their work has been cited 380,160 times across 1,000 publications (h-index 173), according to Google Scholar.
Their most-cited work, “The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials” (2011), has accumulated 37,474 citations. Other influential work includes “RoB 2: a revised tool for assessing risk of bias in randomised trials” (2019) with 35,617 citations.
Citations of Peter Jüni'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.
