Leanne M Williams: h-index, Total Citations, and Citation Map
Leanne M Williams's h-index is 127 (383 i10-index, 49,000+ total citations across 894+ publications) according to Google Scholar as of May 2026. Leanne M Williams is affiliated with Stanford University, Professor of Psychiatry and Behavioral Sciences.
Leanne M Williams is a researcher affiliated with Stanford University, Professor of Psychiatry and Behavioral Sciences, specializing in precision psychiatry, personalized neuroscience, circuit biotypes. Their work has been cited 49,000 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Leanne M Williams's Citation Metrics
Bibliometric impact based on 894 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 127
- i10-Index
- 383
- Total Citations
- 49,000
- Citing Countries
- 16
As of May 2026.
Leanne M Williams has an h-index of 127 and 49,000 total citations across 894 publications, with research cited by institutions in 16 countries.
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Top Cited Works
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A direct brainstem–amygdala–cortical ‘alarm’system for subliminal signals of fear
2005928
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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 a direct subcortical neural pathway for fear processing, challenging the prevailing view that all emotional signals require cortical mediation.
The researcher established a foundational framework for understanding causal interactions between fronto-parietal central executive and default-mode networks in humans.
The researcher authored a seminal, highly cited review clarifying resting-state fMRI fundamentals for nonexperts, establishing a foundational reference that has been widely adopted by independent scholars.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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