Phyllis Butow: h-index, Total Citations, and Citation Map
Phyllis Butow's h-index is 142 (691 i10-index, 76,834+ total citations across 5+ publications) according to Google Scholar as of May 2026. Phyllis Butow is affiliated with Unknown affiliation.
Phyllis Butow is a researcher affiliated with Unknown affiliation, specializing in various fields. Their work has been cited 76,834 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Phyllis Butow's Citation Metrics
Bibliometric impact based on 5 indexed publications. Of these, 4 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 142
- i10-Index
- 691
- Total Citations
- 76,834
- Citing Countries
- 28
As of May 2026.
Phyllis Butow has an h-index of 142 and 76,834 total citations across 5 publications, with research cited by institutions in 28 countries.
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We've mapped 5,000 of 76,834 citations for Phyllis Butow
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Top Cited Works
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Genome-wide association study identifies novel breast cancer susceptibility loci
20072,927
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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 identified novel breast cancer susceptibility loci through a genome-wide association study, establishing a foundational reference for genetic risk analysis in the field.
The researcher advanced palliative communication standards by empirically documenting incurable cancer patients' preferences for realistic yet hopeful prognosis disclosure.
The researcher established a foundational quality criteria framework for patient decision aids through an international Delphi consensus process, creating a widely adopted standard for evaluating shared decision-making tools.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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